Fetching the paper…
Reading the bibliography…
The rising popularity of self-driving cars has led to the emergence of a new research field in the recent years: Autonomous racing.
D. Metz and D. Williams, “Near time-optimal control of racing vehicles,” Automatica , vol. 25, no. 6, pp. 841–857, Nov. 1989. [Online]. Available: https://doi.org/10.1016/0005-1098(89)90052-6
1989
Earlier work this paper cites.
E. Espié, C. Guionneau, B. Wymann, C. Dimitrakakis, R. Coulom, and A. Sumner, “Torcs, the open racing car simulator,” 2005
2005
Earlier work this paper cites.
D. A. Bristow, M. Tharayil, and A. G. Alleyne, “A survey of iterative learning control,” IEEE control systems magazine , vol. 26, no. 3, pp. 96–114, 2006
2006
Earlier work this paper cites.
F. Braghin, F. Cheli, S. Melzi, and E. Sabbioni, “Race driver model,” Computers & Structures , vol. 86, no. 13-14, pp. 1503–1516, Jul. 2008. [Online]. Available: https://doi.org/10.1016/j.compstruc.2007.04.028
2007
Earlier work this paper cites.
D. Perez, Y. Saez, G. Recio, and P. Isasi, “Evolving a rule system controller for automatic driving in a car racing competition,” in 2008 IEEE Symposium On Computational Intelligence and Games . IEEE, Dec. 2008. [Online]. Available: https://doi.org/10.1109/cig.2008.5035659
2008
Earlier work this paper cites.
M. V. Butz and T. D. Lonneker, “Optimized sensory-motor couplings plus strategy extensions for the TORCS car racing challenge,” in 2009 IEEE Symposium on Computational Intelligence and Games . IEEE, Sep. 2009. [Online]. Available: https://doi.org/10.1109/cig.2009.5286458
2009
Earlier work this paper cites.
L. Cardamone, D. Loiacono, P. L. Lanzi, and A. P. Bardelli, “Searching for the optimal racing line using genetic algorithms,” in Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games . IEEE, Aug. 2010. [Online]. Available: https://doi.org/10.1109/itw.2010.5593330
2010
Earlier work this paper cites.
D. P. Kelly and R. S. Sharp, “Time-optimal control of the race car: a numerical method to emulate the ideal driver,” Vehicle System Dynamics , vol. 48, no. 12, pp. 1461–1474, Aug. 2010. [Online]. Available: https://doi.org/10.1080/00423110903514236
2010
Earlier work this paper cites.
D. Loiacono, A. Prete, P. L. Lanzi, and L. Cardamone, “Learning to overtake in TORCS using simple reinforcement learning,” in IEEE Congress on Evolutionary Computation . IEEE, Jul. 2010. [Online]. Available: https://doi.org/10.1109/cec.2010.5586191
2010
Earlier work this paper cites.
C. Voser, R. Y. Hindiyeh, and J. C. Gerdes, “Analysis and control of high sideslip manoeuvres,” Vehicle System Dynamics , vol. 48, no. sup1, pp. 317–336, Dec. 2010. [Online]. Available: https://doi.org/10.1080/00423111003746140
2010
Earlier work this paper cites.
2011
Earlier work this paper cites.
2011
Earlier work this paper cites.
J. Quadflieg, M. Preuss, and G. Rudolph, “Driving faster than a human player,” in Applications of Evolutionary Computation . Springer Berlin Heidelberg, 2011, pp. 143–152. [Online]. Available: https://doi.org/10.1007/978-3-642-20525-5_15
2011
Earlier work this paper cites.
K. L. Talvala, K. Kritayakirana, and J. C. Gerdes, “Pushing the limits: From lanekeeping to autonomous racing,” Annual Reviews in Control , vol. 35, no. 1, pp. 137–148, Apr. 2011. [Online]. Available: https://doi.org/10.1016/j.arcontrol.2011.03.009
2011
Earlier work this paper cites.
P. A. Theodosis and J. C. Gerdes, “Generating a racing line for an autonomous racecar using professional driving techniques,” in ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, Volume 2 . ASMEDC, Jan. 2011. [Online]. Available: https://doi.org/10.1115/dscc2011-6097
2011
Earlier work this paper cites.
C. E. Beal and J. C. Gerdes, “Model predictive control for vehicle stabilization at the limits of handling,” IEEE Transactions on Control Systems Technology , vol. 21, no. 4, pp. 1258–1269, Jul. 2013. [Online]. Available: https://doi.org/10.1109/tcst.2012.2200826
2012
Earlier work this paper cites.
J. Funke, P. Theodosis, R. Hindiyeh, G. Stanek, K. Kritatakirana, C. Gerdes, D. Langer, M. Hernandez, B. Muller-Bessler, and B. Huhnke, “Up to the limits: Autonomous audi TTS,” in 2012 IEEE Intelligent Vehicles Symposium . IEEE, Jun. 2012. [Online]. Available: https://doi.org/10.1109/ivs.2012.6232212
2012
Earlier work this paper cites.
——, “Using the centre of percussion to design a steering controller for an autonomous race car,” Vehicle System Dynamics , vol. 50, no. sup1, pp. 33–51, Jan. 2012. [Online]. Available: https://doi.org/10.1080/00423114.2012.672842
2012
Earlier work this paper cites.
——, “Autonomous vehicle control at the limits of handling,” International Journal of Vehicle Autonomous Systems , vol. 10, no. 4, p. 271, 2012. [Online]. Available: https://doi.org/10.1504/ijvas.2012.051270
2012
Earlier work this paper cites.
——, “Nonlinear optimization of a racing line for an autonomous racecar using professional driving techniques,” in Volume 1: Adaptive Control; Advanced Vehicle Propulsion Systems; Aerospace Systems; Autonomous Systems; Battery Modeling; Biochemical Systems; Control Over Networks; Control Systems Design; Cooperative and Decentralized Control; Dynamic System Modeling; Dynamical Modeling and Diagnostics in Biomedical Systems; Dynamics and Control in Medicine and Biology; Estimation and Fault Detection; Estimation and Fault Detection for Vehicle Applications; Fluid Power Systems; Human Assistive Systems and Wearable Robots; Human-in-the-Loop Systems; Intelligent Transportation Systems; Learning Control . ASME, 2012. [Online]. Available: https://doi.org/10.1115/dscc2012-movic2012-8620
2012
Earlier work this paper cites.
D. Ha and J. Schmidhuber, “World models,” 2018
2012
Earlier work this paper cites.
J. H. Jeon, R. V. Cowlagi, S. C. Peters, S. Karaman, E. Frazzoli, P. Tsiotras, and K. Iagnemma, “Optimal motion planning with the half-car dynamical model for autonomous high-speed driving,” in 2013 American Control Conference . IEEE, Jun. 2013. [Online]. Available: https://doi.org/10.1109/acc.2013.6579835
2013
Earlier work this paper cites.
K. Kritayakirana and J. C. Gerdes, “Autonomous cornering at the limits: Maximizing a “g-g” diagram by using feedforward trail-braking and throttle-on-exit,” IFAC Proceedings Volumes , vol. 43, no. 7, pp. 548–553, Jul. 2010. [Online]. Available: https://doi.org/10.3182/20100712-3-de-2013.00060
2013
Earlier work this paper cites.
J. P. S. Mejia, P. A. Theodosis, and J. C. Gerdes, “Using a path-fitting algorithm to analyze the racing techniques of a skilled driver,” in Volume 3: Nonlinear Estimation and Control; Optimization and Optimal Control; Piezoelectric Actuation and Nanoscale Control; Robotics and Manipulators; Sensing; System Identification (Estimation for Automotive Applications, Modeling, Therapeutic Control in Bio-Systems); Variable Structure/Sliding-Mode Control; Vehicles and Human Robotics; Vehicle Dynamics and Control; Vehicle Path Planning and Collision Avoidance; Vibrational and Mechanical Systems; Wind Energy Systems and Control . American Society of Mechanical Engineers, Oct. 2013. [Online]. Available: https://doi.org/10.1115/dscc2013-4106
2013
Earlier work this paper cites.
T. H. Drage, J. Kalinowski, and T. Bräunl, “Development of an autonomous formula SAE car with laser scanner and GPS,” IFAC Proceedings Volumes , vol. 47, no. 3, pp. 2652–2657, 2014. [Online]. Available: https://doi.org/10.3182/20140824-6-za-1003.01386
2014
Earlier work this paper cites.
K. Hart, C. Montella, G. Petitpas, D. Schweisinger, A. Shariati, B. Sourbeer, T. Trephan, and J. Spletzer, “RoSCAR,” in Proceedings of the 2014 workshop on Mobile augmented reality and robotic technology-based systems - MARS '14 . ACM Press, 2014. [Online]. Available: https://doi.org/10.1145/2609829.2609837
2014
Earlier work this paper cites.
R. Y. Hindiyeh and J. C. Gerdes, “A controller framework for autonomous drifting: Design, stability, and experimental validation,” Journal of Dynamic Systems, Measurement, and Control , vol. 136, no. 5, Jul. 2014. [Online]. Available: https://doi.org/10.1115/1.4027471
2014
Earlier work this paper cites.
A. Liniger, A. Domahidi, and M. Morari, “Optimization-based autonomous racing of 1:43 scale RC cars,” Optimal Control Applications and Methods , vol. 36, no. 5, pp. 628–647, Jul. 2014. [Online]. Available: https://doi.org/10.1002/oca.2123
2014
Earlier work this paper cites.
A. Rucco, G. Notarstefano, and J. Hauser, “An efficient minimum-time trajectory generation strategy for two-track car vehicles,” IEEE Transactions on Control Systems Technology , vol. 23, no. 4, pp. 1505–1519, Jul. 2015. [Online]. Available: https://doi.org/10.1109/tcst.2014.2377777
2014
Earlier work this paper cites.
N. R. Kapania and J. C. Gerdes, “Design of a feedback-feedforward steering controller for accurate path tracking and stability at the limits of handling,” Vehicle System Dynamics , vol. 53, no. 12, pp. 1687–1704, Jun. 2015. [Online]. Available: https://doi.org/10.1080/00423114.2015.1055279
2015
Earlier work this paper cites.
——, “Path tracking of highly dynamic autonomous vehicle trajectories via iterative learning control,” in 2015 American Control Conference (ACC) . IEEE, Jul. 2015. [Online]. Available: https://doi.org/10.1109/acc.2015.7171151
2015
Earlier work this paper cites.
A. Liniger and J. Lygeros, “A viability approach for fast recursive feasible finite horizon path planning of autonomous RC cars,” in Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control . ACM, Apr. 2015. [Online]. Available: https://doi.org/10.1145/2728606.2728620
2015
Earlier work this paper cites.
H. Park and J. C. Gerdes, “Optimal tire force allocation for trajectory tracking with an over-actuated vehicle,” in 2015 IEEE Intelligent Vehicles Symposium (IV) . IEEE, Jun. 2015. [Online]. Available: https://doi.org/10.1109/ivs.2015.7225820
2015
Earlier work this paper cites.
J. R. Anderson, B. Ayalew, and T. Weiskircher, “Modeling a professional driver in ultra-high performance maneuvers with a hybrid cost MPC,” in 2016 American Control Conference (ACC) . IEEE, Jul. 2016. [Online]. Available: https://doi.org/10.1109/acc.2016.7525209
2016
Earlier work this paper cites.
J. V. Carrau, A. Liniger, X. Zhang, and J. Lygeros, “Efficient implementation of randomized MPC for miniature race cars,” in 2016 European Control Conference (ECC) . IEEE, Jun. 2016. [Online]. Available: https://doi.org/10.1109/ecc.2016.7810413
2016
Earlier work this paper cites.
J. Funke, M. Brown, S. M. Erlien, and J. C. Gerdes, “Collision avoidance and stabilization for autonomous vehicles in emergency scenarios,” IEEE Transactions on Control Systems Technology , vol. 25, no. 4, pp. 1204–1216, Jul. 2017. [Online]. Available: https://doi.org/10.1109/tcst.2016.2599783
2016
Earlier work this paper cites.
J. Goh and J. C. Gerdes, “Simultaneous stabilization and tracking of basic automobile drifting trajectories,” in 2016 IEEE Intelligent Vehicles Symposium (IV) . IEEE, Jun. 2016. [Online]. Available: https://doi.org/10.1109/ivs.2016.7535448
2016
Earlier work this paper cites.
N. R. Kapania, J. Subosits, and J. C. Gerdes, “A sequential two-step algorithm for fast generation of vehicle racing trajectories,” Journal of Dynamic Systems, Measurement, and Control , vol. 138, no. 9, Jun. 2016. [Online]. Available: https://doi.org/10.1115/1.4033311
2016
Earlier work this paper cites.
J. C. Kegelman, L. K. Harbott, and J. C. Gerdes, “Insights into vehicle trajectories at the handling limits: analysing open data from race car drivers,” Vehicle System Dynamics , vol. 55, no. 2, pp. 191–207, Nov. 2016. [Online]. Available: https://doi.org/10.1080/00423114.2016.1249893
2016
Earlier work this paper cites.
R. Verschueren, M. Zanon, R. Quirynen, and M. Diehl, “Time-optimal race car driving using an online exact hessian based nonlinear MPC algorithm,” in 2016 European Control Conference (ECC) . IEEE, Jun. 2016. [Online]. Available: https://doi.org/10.1109/ecc.2016.7810277
2016
Earlier work this paper cites.
G. Williams, P. Drews, B. Goldfain, J. M. Rehg, and E. A. Theodorou, “Aggressive driving with model predictive path integral control,” in 2016 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, May 2016. [Online]. Available: https://doi.org/10.1109/icra.2016.7487277
2016
Earlier work this paper cites.
W. Hess, D. Kohler, H. Rapp, and D. Andor, “Real-time loop closure in 2d lidar slam,” in 2016 IEEE International Conference on Robotics and Automation (ICRA) , 2016, pp. 1271–1278
2016
Earlier work this paper cites.
2016
Earlier work this paper cites.
O. Arslan, K. Berntorp, and P. Tsiotras, “Sampling-based algorithms for optimal motion planning using closed-loop prediction,” in 2017 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, May 2017. [Online]. Available: https://doi.org/10.1109/icra.2017.7989581
2017
Earlier work this paper cites.
M. Bevilacqua, A. Tsourdos, and A. Starr, “Particle swarm for path planning in a racing circuit simulation,” in 2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) . IEEE, May 2017. [Online]. Available: https://doi.org/10.1109/i2mtc.2017.7969735
2017
Earlier work this paper cites.
M. Brunner, U. Rosolia, J. Gonzales, and F. Borrelli, “Repetitive learning model predictive control: An autonomous racing example,” in 2017 IEEE 56th Annual Conference on Decision and Control (CDC) . IEEE, Dec. 2017. [Online]. Available: https://doi.org/10.1109/cdc.2017.8264027
2017
Earlier work this paper cites.
A. Buyval, A. Gabdulin, R. Mustafin, and I. Shimchik, “Deriving overtaking strategy from nonlinear model predictive control for a race car,” in 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, Sep. 2017. [Online]. Available: https://doi.org/10.1109/iros.2017.8206086
2017
Earlier work this paper cites.
P. Drews, G. Williams, B. Goldfain, E. A. Theodorou, and J. M. Rehg, “Aggressive deep driving: Model predictive control with a cnn cost model,” 2017
2017
Earlier work this paper cites.
N. Funk, N. Alatur, R. Deuber, F. Gonon, N. Messikommer, J. Nubert, M. Patriarca, S. Schaefer, D. Scotoni, N. Bünger, R. Dube, R. Khanna, M. Pfeiffer, E. Wilhelm, and R. Siegwart, “Autonomous electric race car design,” 2017
2017
Earlier work this paper cites.
S. Karaman, A. Anders, M. Boulet, J. Connor, K. Gregson, W. Guerra, O. Guldner, M. Mohamoud, B. Plancher, R. Shin, and J. Vivilecchia, “Project-based, collaborative, algorithmic robotics for high school students: Programming self-driving race cars at MIT,” in 2017 IEEE Integrated STEM Education Conference (ISEC) . IEEE, 2017. [Online]. Available: https://doi.org/10.1109/isecon.2017.7910242
2017
Earlier work this paper cites.
P. W. Kuhn, “Methodology for the numerical calculation of racing lines and the virtual assessment of driving behavior for training circuits for the automobile industry,” Transportation Research Procedia , vol. 25, pp. 1416–1429, 2017. [Online]. Available: https://doi.org/10.1016/j.trpro.2017.05.167
2017
Earlier work this paper cites.
V. A. Laurense, J. Y. Goh, and J. C. Gerdes, “Path-tracking for autonomous vehicles at the limit of friction,” in 2017 American Control Conference (ACC) . IEEE, May 2017. [Online]. Available: https://doi.org/10.23919/acc.2017.7963824
2017
Earlier work this paper cites.
A. Liniger, X. Zhang, P. Aeschbach, A. Georghiou, and J. Lygeros, “Racing miniature cars: Enhancing performance using stochastic MPC and disturbance feedback,” in 2017 American Control Conference (ACC) . IEEE, May 2017. [Online]. Available: https://doi.org/10.23919/acc.2017.7963833
2017
Earlier work this paper cites.
A. Liniger and J. Lygeros, “Real-time control for autonomous racing based on viability theory,” IEEE Transactions on Control Systems Technology , vol. 27, no. 2, pp. 464–478, Mar. 2019. [Online]. Available: https://doi.org/10.1109/tcst.2017.2772903
2017
Earlier work this paper cites.
J. Ni and J. Hu, “Path following control for autonomous formula racecar: Autonomous formula student competition,” in 2017 IEEE Intelligent Vehicles Symposium (IV) . IEEE, Jun. 2017. [Online]. Available: https://doi.org/10.1109/ivs.2017.7995972
2017
Earlier work this paper cites.
——, “Analysis of feasible tire force regions for optimal tire force allocation with limited actuation,” IEEE Intelligent Transportation Systems Magazine , vol. 9, no. 3, pp. 75–87, 2017. [Online]. Available: https://doi.org/10.1109/mits.2017.2709879
2017
Earlier work this paper cites.
E. Perot, M. Jaritz, M. Toromanoff, and R. D. Charette, “End-to-end driving in a realistic racing game with deep reinforcement learning,” in 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) . IEEE, Jul. 2017. [Online]. Available: https://doi.org/10.1109/cvprw.2017.64
2017
Earlier work this paper cites.
U. Rosolia, A. Carvalho, and F. Borrelli, “Autonomous racing using learning model predictive control,” in 2017 American Control Conference (ACC) . IEEE, May 2017. [Online]. Available: https://doi.org/10.23919/acc.2017.7963748
2017
Earlier work this paper cites.
U. Rosolia and F. Borrelli, “Learning model predictive control for iterative tasks: A computationally efficient approach for linear system,” IFAC-PapersOnLine , vol. 50, no. 1, pp. 3142–3147, Jul. 2017. [Online]. Available: https://doi.org/10.1016/j.ifacol.2017.08.324
2017
Earlier work this paper cites.
U. Rosolia, X. Zhang, and F. Borrelli, “Robust learning model predictive control for iterative tasks: Learning from experience,” in 2017 IEEE 56th Annual Conference on Decision and Control (CDC) . IEEE, Dec. 2017. [Online]. Available: https://doi.org/10.1109/cdc.2017.8263812
2017
Earlier work this paper cites.
M. Salem, A. M. Mora, J. J. Merelo, and P. García-Sánchez, “Driving in TORCS using modular fuzzy controllers,” in Applications of Evolutionary Computation . Springer International Publishing, 2017, pp. 361–376. [Online]. Available: https://doi.org/10.1007/978-3-319-55849-3_24
2017
Earlier work this paper cites.
G. Williams, B. Goldfain, P. Drews, J. M. Rehg, and E. A. Theodorou, “Autonomous racing with autorally vehicles and differential games,” 2017
2017
Earlier work this paper cites.
G. Williams, N. Wagener, B. Goldfain, P. Drews, J. M. Rehg, B. Boots, and E. A. Theodorou, “Information theoretic MPC for model-based reinforcement learning,” in 2017 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, May 2017. [Online]. Available: https://doi.org/10.1109/icra.2017.7989202
2017
Earlier work this paper cites.
C. You and P. Tsiotras, “Vehicle modeling and parameter estimation using adaptive limited memory joint-state UKF,” in 2017 American Control Conference (ACC) . IEEE, May 2017. [Online]. Available: https://doi.org/10.23919/acc.2017.7962973
2017
Earlier work this paper cites.
M. Zeillinger, R. Hauk, M. Bader, and A. Hofmann, “Design of an autonomous race car for the formula student driverless (fsd),” 2017. [Online]. Available: https://openlib.tugraz.at/download.php?id=5aaa45931188a&location=medra
2017
Earlier work this paper cites.
R. Pütz and T. Serné, Rennwagentechnik - Praxislehrgang Fahrdynamik . Springer Fachmedien Wiesbaden, 2017. [Online]. Available: https://doi.org/10.1007/978-3-658-16102-6
2017
Earlier work this paper cites.
A. Dosovitskiy, G. Ros, F. Codevilla, A. Lopez, and V. Koltun, “CARLA: An open urban driving simulator,” in Proceedings of the 1st Annual Conference on Robot Learning , 2017, pp. 1–16
2017
Earlier work this paper cites.
J. Betz, A. Wischnewski, A. Heilmeier, F. Nobis, T. Stahl, L. Hermansdorfer, B. Lohmann, and M. Lienkamp, “What can we learn from autonomous level-5 motorsport?” in Proceedings . Springer Fachmedien Wiesbaden, Sep. 2018, pp. 123–146. [Online]. Available: https://doi.org/10.1007/978-3-658-22050-1_12
2018
Earlier work this paper cites.
M. Bujarbaruah, X. Zhang, U. Rosolia, and F. Borrelli, “Adaptive MPC for iterative tasks,” in 2018 IEEE Conference on Decision and Control (CDC) . IEEE, Dec. 2018. [Online]. Available: https://doi.org/10.1109/cdc.2018.8618694
2018
Earlier work this paper cites.
D. Caporale, L. Venturini, A. Fagiolini, L. Pallottino, A. Settimi, A. Biondo, F. Amerotti, F. Massa, S. D. Caro, and A. Corti, “A planning and control system for self-driving racing vehicles,” in 2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI) . IEEE, Sep. 2018. [Online]. Available: https://doi.org/10.1109/rtsi.2018.8548444
2018
Earlier work this paper cites.
C. Chatzikomis, A. Sorniotti, P. Gruber, M. Zanchetta, D. Willans, and B. Balcombe, “Comparison of path tracking and torque-vectoring controllers for autonomous electric vehicles,” IEEE Transactions on Intelligent Vehicles , vol. 3, no. 4, pp. 559–570, Dec. 2018. [Online]. Available: https://doi.org/10.1109/tiv.2018.2874529
2018
Earlier work this paper cites.
N. D. Bianco, E. Bertolazzi, F. Biral, and M. Massaro, “Comparison of direct and indirect methods for minimum lap time optimal control problems,” Vehicle System Dynamics , vol. 57, no. 5, pp. 665–696, Jun. 2018. [Online]. Available: https://doi.org/10.1080/00423114.2018.1480048
2018
Earlier work this paper cites.
T. de Bruin, J. Kober, K. Tuyls, and R. Babuska, “Integrating state representation learning into deep reinforcement learning,” IEEE Robotics and Automation Letters , vol. 3, no. 3, pp. 1394–1401, Jul. 2018. [Online]. Available: https://doi.org/10.1109/lra.2018.2800101
2018
Earlier work this paper cites.
M. Fu, J. Ni, X. Li, and J. Hu, “Path tracking for autonomous race car based on g-g diagram,” International Journal of Automotive Technology , vol. 19, no. 4, pp. 659–668, Jun. 2018. [Online]. Available: https://doi.org/10.1007/s12239-018-0063-7
2018
Earlier work this paper cites.
J. Goh, T. Goel, and J. C. Gerdes, “Speed control for robust path-tracking for automated vehicles at the tire-road friction limit,” in AVEC 18 -14th International Symposium on Advanced Vehicle Control , 2018. [Online]. Available: https://ddl.stanford.edu/sites/g/files/sbiybj9456/f/marty_avec2018_fullpaper.pdf
2018
Earlier work this paper cites.
B. Goldfain, P. Drews, C. You, M. Barulic, O. Velev, P. Tsiotras, and J. M. Rehg, “AutoRally: An open platform for aggressive autonomous driving,” IEEE Control Systems , vol. 39, no. 1, pp. 26–55, Feb. 2019. [Online]. Available: https://doi.org/10.1109/mcs.2018.2876958
2018
Earlier work this paper cites.
F. Gottmann, H. Wind, and O. Sawodny, “On the influence of rear axle steering and modeling depth on a model based racing line generation for autonomous racing,” in 2018 IEEE Conference on Control Technology and Applications (CCTA) . IEEE, Aug. 2018. [Online]. Available: https://doi.org/10.1109/ccta.2018.8511508
2018
Earlier work this paper cites.
A. Heilmeier, M. Graf, and M. Lienkamp, “A race simulation for strategy decisions in circuit motorsports,” in 2018 21st International Conference on Intelligent Transportation Systems (ITSC) . IEEE, Nov. 2018. [Online]. Available: https://doi.org/10.1109/itsc.2018.8570012
2018
Earlier work this paper cites.
L. Hewing, A. Liniger, and M. N. Zeilinger, “Cautious NMPC with gaussian process dynamics for autonomous miniature race cars,” in 2018 European Control Conference (ECC) . IEEE, Jun. 2018. [Online]. Available: https://doi.org/10.23919/ecc.2018.8550162
2018
Earlier work this paper cites.
M. Jaritz, R. de Charette, M. Toromanoff, E. Perot, and F. Nashashibi, “End-to-end race driving with deep reinforcement learning,” in 2018 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, May 2018. [Online]. Available: https://doi.org/10.1109/icra.2018.8460934
2018
Earlier work this paper cites.
X. Ji, X. He, C. Lv, Y. Liu, and J. Wu, “Adaptive-neural-network-based robust lateral motion control for autonomous vehicle at driving limits,” Control Engineering Practice , vol. 76, pp. 41–53, Jul. 2018. [Online]. Available: https://doi.org/10.1016/j.conengprac.2018.04.007
2018
Earlier work this paper cites.
B. Korkmaz, U. B. Etlik, A. Beke, and T. Kumbasar, “Fuzzy logic based self-driving racing car control system,” in 2018 6th International Conference on Control Engineering & Information Technology (CEIT) . IEEE, Oct. 2018. [Online]. Available: https://doi.org/10.1109/ceit.2018.8751900
2018
Cited alongside, same era.
V. Laurense and C. Gerdes, “Speed control for robust path-tracking for automated vehicles at the tire-road friction limit,” in AVEC 18 -14th International Symposium on Advanced Vehicle Control , 2018. [Online]. Available: https://ddl.stanford.edu/publications/speed-control-robust-path-tracking-automated-vehicles-tire-road/-friction-limit
2018
Cited alongside, same era.
A. Liniger, “Path planning and control for autonomous racing,” Ph.D. dissertation, ETH Zurich, 2018. [Online]. Available: http://hdl.handle.net/20.500.11850/302942
2018
Cited alongside, same era.
R. Ivanov, T. J. Carpenter, J. Weimer, R. Alur, G. J. Pappas, and I. Lee, “Case study,” in Proceedings of the 23rd International Conference on Hybrid Systems: Computation and Control . ACM, Apr. 2020. [Online]. Available: https://doi.org/10.1145/3365365.3382216
2020
Later among the works it cites.
A. Jain, M. O’Kelly, P. Chaudhari, and M. Morari, “Bayesrace: Learning to race autonomously using prior experience,” 2020
2020
Later among the works it cites.
J. Kabzan, M. I. Valls, V. J. F. Reijgwart, H. F. C. Hendrikx, C. Ehmke, M. Prajapat, A. Bühler, N. Gosala, M. Gupta, R. Sivanesan, A. Dhall, E. Chisari, N. Karnchanachari, S. Brits, M. Dangel, I. Sa, R. Dubé, A. Gawel, M. Pfeiffer, A. Liniger, J. Lygeros, and R. Siegwart, “AMZ driverless: The full autonomous racing system,” Journal of Field Robotics , Aug. 2020. [Online]. Available: https://doi.org/10.1002/rob.21977
2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2018
Cited alongside, same era.
Y. Pan, C.-A. Cheng, K. Saigol, K. Lee, X. Yan, E. Theodorou, and B. Boots, “Agile autonomous driving using end-to-end deep imitation learning,” in Robotics: Science and Systems XIV . Robotics: Science and Systems Foundation, Jun. 2018. [Online]. Available: https://doi.org/10.15607/rss.2018.xiv.056
2018
Cited alongside, same era.
M. Salem, A. M. Mora, and J. J. Merelo, “The evolutionary race: Improving the process of evaluating car controllers in racing simulators,” in 2018 IEEE Conference on Computational Intelligence and Games (CIG) . IEEE, Aug. 2018. [Online]. Available: https://doi.org/10.1109/cig.2018.8490364
2018
Cited alongside, same era.
hanqing TIAN, J. NI, and J. HU, “Autonomous driving system design for formula student driverless racecar,” in 2018 IEEE Intelligent Vehicles Symposium (IV) . IEEE, Jun. 2018. [Online]. Available: https://doi.org/10.1109/ivs.2018.8500471
2018
Cited alongside, same era.
M. I. Valls, H. F. Hendrikx, V. J. Reijgwart, F. V. Meier, I. Sa, R. Dube, A. Gawel, M. Burki, and R. Siegwart, “Design of an autonomous racecar: Perception, state estimation and system integration,” in 2018 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, May 2018. [Online]. Available: https://doi.org/10.1109/icra.2018.8462829
2018
Cited alongside, same era.
G. Williams, B. Goldfain, P. Drews, J. M. Rehg, and E. A. Theodorou, “Best response model predictive control for agile interactions between autonomous ground vehicles,” in 2018 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, May 2018. [Online]. Available: https://doi.org/10.1109/icra.2018.8462831
2018
Cited alongside, same era.
G. Williams, P. Drews, B. Goldfain, J. M. Rehg, and E. A. Theodorou, “Information-theoretic model predictive control: Theory and applications to autonomous driving,” IEEE Transactions on Robotics , vol. 34, no. 6, pp. 1603–1622, Dec. 2018. [Online]. Available: https://doi.org/10.1109/tro.2018.2865891
2018
Cited alongside, same era.
G. Williams, B. Goldfain, P. Drews, K. Saigol, J. Rehg, and E. Theodorou, “Robust sampling based model predictive control with sparse objective information,” in Robotics: Science and Systems XIV . Robotics: Science and Systems Foundation, Jun. 2018. [Online]. Available: https://doi.org/10.15607/rss.2018.xiv.042
2018
Cited alongside, same era.
——, “Real-time trail-braking maneuver generation for off-road vehicle racing,” in 2018 Annual American Control Conference (ACC) . IEEE, Jun. 2018. [Online]. Available: https://doi.org/10.23919/acc.2018.8431620
2018
Cited alongside, same era.
2020
Later among the works it cites.
T. Kessler, K. Esterle, and A. Knoll, “Linear differential games for cooperative behavior planning of autonomous vehicles using mixed-integer programming,” in 2020 59th IEEE Conference on Decision and Control (CDC) . IEEE, Dec. 2020. [Online]. Available: https://doi.org/10.1109/cdc42340.2020.9304495
2020
Later among the works it cites.
D. Kloeser, T. Schoels, T. Sartor, A. Zanelli, G. Prison, and M. Diehl, “NMPC for racing using a singularity-free path-parametric model with obstacle avoidance,” IFAC-PapersOnLine , vol. 53, no. 2, pp. 14 324–14 329, 2020. [Online]. Available: https://doi.org/10.1016/j.ifacol.2020.12.1376
2020
Later among the works it cites.
K. Lee, Z. Wang, B. I. Vlahov, H. K. Brar, and E. A. Theodorou, “Ensemble bayesian decision making with redundant deep perceptual control policies,” 2020
2020
Later among the works it cites.
Y. Liu, L. Shi, W. Xu, X. Xiong, W. Sun, and L. Qu, “Design of driverless racing chassis based on MPC,” in 2020 Chinese Automation Congress (CAC) . IEEE, Nov. 2020. [Online]. Available: https://doi.org/10.1109/cac51589.2020.9326482
2020
Later among the works it cites.
Y. Mahmoud, Y. Okuyama, T. Fukuchi, T. Kosuke, and I. Ando, “Optimizing deep-neural-network-driven autonomous race car using image scaling,” SHS Web of Conferences , vol. 77, p. 04002, 2020. [Online]. Available: https://doi.org/10.1051/shsconf/20207704002
2020
Later among the works it cites.
F. Massa, L. Bonamini, A. Settimi, L. Pallottino, and D. Caporale, “LiDAR-based GNSS denied localization for autonomous racing cars,” Sensors , vol. 20, no. 14, p. 3992, Jul. 2020. [Online]. Available: https://doi.org/10.3390/s20143992
2020
Later among the works it cites.
S. Nekkah, J. Janus, M. Boxheimer, L. Ohnemus, S. Hirsch, B. Schmidt, Y. Liu, D. Borbély, F. Keck, K. Bachmann, and L. Bleszynski, “The autonomous racing software stack of the kit19d,” 2020
2020
Later among the works it cites.
J. Niu, Y. Hu, B. Jin, Y. Han, and X. Li, “Two-stage safe reinforcement learning for high-speed autonomous racing,” in 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) . IEEE, Oct. 2020. [Online]. Available: https://doi.org/10.1109/smc42975.2020.9283053
2020
Later among the works it cites.
G. Notomista, M. Wang, M. Schwager, and M. Egerstedt, “Enhancing game-theoretic autonomous car racing using control barrier functions,” in 2020 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, May 2020. [Online]. Available: https://doi.org/10.1109/icra40945.2020.9196757
2020
Later among the works it cites.
M. O’Kelly, H. Zheng, D. Karthik, and R. Mangharam, “F1tenth: An open-source evaluation environment for continuous control and reinforcement learning,” in Proceedings of the NeurIPS 2019 Competition and Demonstration Track , ser. Proceedings of Machine Learning Research, H. J. Escalante and R. Hadsell, Eds., vol. 123. PMLR, 08–14 Dec 2020, pp. 77–89. [Online]. Available: http://proceedings.mlr.press/v123/o-kelly20a.html
2020
Later among the works it cites.
M. O'Kelly, H. Zheng, A. Jain, J. Auckley, K. Luong, and R. Mangharam, “TUNERCAR: A superoptimization toolchain for autonomous racing,” in 2020 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, May 2020. [Online]. Available: https://doi.org/10.1109/icra40945.2020.9197080
2020
Later among the works it cites.
E. Pagot, M. Piccinini, and F. Biral, “Real-time optimal control of an autonomous RC car with minimum-time maneuvers and a novel kineto-dynamical model,” in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, Oct. 2020. [Online]. Available: https://doi.org/10.1109/iros45743.2020.9340640
2020
Later among the works it cites.
S. Pedone and A. Fagiolini, “Racecar longitudinal control in unknown and highly-varying driving conditions,” IEEE Transactions on Vehicular Technology , vol. 69, no. 11, pp. 12 521–12 535, Nov. 2020. [Online]. Available: https://doi.org/10.1109/tvt.2020.3023059
2020
Later among the works it cites.
F. K. Pour, D. Theilliol, V. Puig, and G. Cembrano, “Health-aware control design based on remaining useful life estimation for autonomous racing vehicle,” ISA Transactions , vol. 113, pp. 196–209, Jul. 2021. [Online]. Available: https://doi.org/10.1016/j.isatra.2020.03.032
2020
Later among the works it cites.
P. Puchtler and R. Peinl, “Evaluation of deep learning accelerators for object detection at the edge,” in Lecture Notes in Computer Science . Springer International Publishing, 2020, pp. 320–326. [Online]. Available: https://doi.org/10.1007/978-3-030-58285-2_29
2020
Later among the works it cites.
T. Renzler, M. Stolz, M. Schratter, and D. Watzenig, “Increased accuracy for fast moving LiDARS: Correction of distorted point clouds,” in 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) . IEEE, May 2020. [Online]. Available: https://doi.org/10.1109/i2mtc43012.2020.9128372
2020
Later among the works it cites.
A. Sinha, M. O’Kelly, H. Zheng, R. Mangharam, J. Duchi, and R. Tedrake, “FormulaZero: Distributionally robust online adaptation via offline population synthesis,” in Proceedings of the 37th International Conference on Machine Learning , ser. Proceedings of Machine Learning Research, H. D. III and A. Singh, Eds., vol. 119. PMLR, 13–18 Jul 2020, pp. 8992–9004. [Online]. Available: http://proceedings.mlr.press/v119/sinha20a.html
2020
Later among the works it cites.
S. Srinivasan, I. Sa, A. Zyner, V. Reijgwart, M. I. Valls, and R. Siegwart, “End-to-end velocity estimation for autonomous racing,” IEEE Robotics and Automation Letters , vol. 5, no. 4, pp. 6869–6875, Oct. 2020. [Online]. Available: https://doi.org/10.1109/lra.2020.3016929
2020
Later among the works it cites.
T. Stahl, M. Eicher, J. Betz, and F. Diermeyer, “Online verification concept for autonomous vehicles – illustrative study for a trajectory planning module,” in 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) . IEEE, Sep. 2020. [Online]. Available: https://doi.org/10.1109/itsc45102.2020.9294703
2020
Later among the works it cites.
T. Stahl and J. Betz, “An open-source scenario architect for autonomous vehicles,” in 2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER) . IEEE, Sep. 2020. [Online]. Available: https://doi.org/10.1109/ever48776.2020.9243029
2020
Later among the works it cites.
K. Strobel, S. Zhu, R. Chang, and S. Koppula, “Accurate, low-latency visual perception for autonomous racing: Challenges, mechanisms, and practical solutions,” in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, Oct. 2020. [Online]. Available: https://doi.org/10.1109/iros45743.2020.9341683
2020
Later among the works it cites.
A. Tătulea-Codrean, T. Mariani, and S. Engell, “Design and simulation of a machine-learning and model predictive control approach to autonomous race driving for the f1/10 platform,” IFAC-PapersOnLine , vol. 53, no. 2, pp. 6031–6036, 2020. [Online]. Available: https://doi.org/10.1016/j.ifacol.2020.12.1669
2020
Later among the works it cites.
H. Tian, J. Ni, Z. Li, and J. Hu, “Autonomous formula racecar: Overall system design and experimental validation,” 2020
2020
Later among the works it cites.
C. Vallon and F. Borrelli, “Task decomposition for iterative learning model predictive control,” in 2020 American Control Conference (ACC) . IEEE, Jul. 2020. [Online]. Available: https://doi.org/10.23919/acc45564.2020.9147625
2020
Later among the works it cites.
B. van Niekerk, A. Damianou, and B. Rosman, “Online constrained model-based reinforcement learning,” 2020
2020
Later among the works it cites.
J. L. Vazquez, M. Bruhlmeier, A. Liniger, A. Rupenyan, and J. Lygeros, “Optimization-based hierarchical motion planning for autonomous racing,” in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, Oct. 2020. [Online]. Available: https://doi.org/10.1109/iros45743.2020.9341731
2020
Later among the works it cites.
E. Wachter, A. Schmeitz, F. Bruzelius, and M. Alirezaei, “Path control in limits of vehicle handling: A sensitivity analysis,” in Lecture Notes in Mechanical Engineering . Springer International Publishing, 2020, pp. 1089–1095. [Online]. Available: https://doi.org/10.1007/978-3-030-38077-9_126
2020
Later among the works it cites.
Z. Wang, R. Spica, and M. Schwager, “Game Theoretic Motion Planning for Multi-robot Racing,” in Distributed Autonomous Robotic Systems , vol. 9. Springer, 2020, pp. 225–238. [Online]. Available: http://link.springer.com/10.1007/978-3-030-05816-6_16
2020
Later among the works it cites.
M. Wang, Z. Wang, J. Talbot, J. C. Gerdes, and M. Schwager, “Game-theoretic planning for self-driving cars in multivehicle competitive scenarios,” IEEE Transactions on Robotics , pp. 1–13, 2021. [Online]. Available: https://doi.org/10.1109/tro.2020.3047521
2020
Later among the works it cites.
T. Weiss and M. Behl, “Deepracing: Parameterized trajectories for autonomous racing,” 2020
2020
Later among the works it cites.
——, “DeepRacing: A framework for autonomous racing,” in 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE) . IEEE, Mar. 2020. [Online]. Available: https://doi.org/10.23919/date48585.2020.9116486
2020
Later among the works it cites.
——, “Real-time learning of non-gaussian uncertainty models for autonomous racing,” in 2020 59th IEEE Conference on Decision and Control (CDC) . IEEE, Dec. 2020. [Online]. Available: https://doi.org/10.1109/cdc42340.2020.9304230
2020
Later among the works it cites.
J. Zubaca, M. Stolz, and D. Watzenig, “Extended h ∞ \infty filter adaptation based on innovation sequence for advanced ego-vehicle motion estimation,” in 2020 IEEE 3rd Connected and Automated Vehicles Symposium (CAVS) . IEEE, Nov. 2020. [Online]. Available: https://doi.org/10.1109/cavs51000.2020.9334568
2020
Later among the works it cites.
——, “Smooth reference line generation for a race track with gates based on defined borders,” in 2020 IEEE Intelligent Vehicles Symposium (IV) . IEEE, Oct. 2020. [Online]. Available: https://doi.org/10.1109/iv47402.2020.9304722
2020
Later among the works it cites.
F. Doubek, F. Salzmann, and J. de Winter, “What makes a good driver on public roads and race tracks? an interview study,” Transportation Research Part F: Traffic Psychology and Behaviour , vol. 80, pp. 399–423, Jul. 2021. [Online]. Available: https://doi.org/10.1016/j.trf.2021.04.019
2021
Later among the works it cites.
A. Jiang, “Research on the development of autonomous race cars and impact on self-driving cars,” Journal of Physics: Conference Series , vol. 1824, no. 1, p. 012009, Mar. 2021. [Online]. Available: https://doi.org/10.1088/1742-6596/1824/1/012009
2021
Later among the works it cites.
S. Bak, J. Betz, A. Chawla, H. Zheng, and R. Mangharam, “Stress testing autonomous racing overtake maneuvers with rrt,” 2021
2021
Later among the works it cites.
A. Brunnbauer, L. Berducci, A. Brandstätter, M. Lechner, R. Hasani, D. Rus, and R. Grosu, “Model-based versus model-free deep reinforcement learning for autonomous racing cars,” 2021
2021
Later among the works it cites.
P. Cai, H. Wang, H. Huang, Y. Liu, and M. Liu, “Vision-based autonomous car racing using deep imitative reinforcement learning,” IEEE Robotics and Automation Letters , pp. 1–1, 2021
2021
Later among the works it cites.
D. Dodel, M. Schötz, and N. Vödisch, “Fsoco: The formula student objects in context dataset,” 2021
2021
Later among the works it cites.
B. Evans, H. A. Engelbrecht, and H. W. Jordaan, “From navigation to racing: Reward signal design for autonomous racing,” 2021
2021
Later among the works it cites.
B. Evans, H. W. Jordaan, and H. A. Engelbrecht, “Autonomous obstacle avoidance by learning policies for reference modification,” 2021
2021
Later among the works it cites.
F. Fuchs, Y. Song, E. Kaufmann, D. Scaramuzza, and P. Durr, “Super-human performance in gran turismo sport using deep reinforcement learning,” IEEE Robotics and Automation Letters , vol. 6, no. 3, pp. 4257–4264, Jul. 2021. [Online]. Available: https://doi.org/10.1109/lra.2021.3064284
2021
Later among the works it cites.
M. S. Gandhi, B. Vlahov, J. Gibson, G. Williams, and E. A. Theodorou, “Robust model predictive path integral control: Analysis and performance guarantees,” IEEE Robotics and Automation Letters , vol. 6, no. 2, pp. 1423–1430, Apr. 2021. [Online]. Available: https://doi.org/10.1109/lra.2021.3057563
2021
Later among the works it cites.
J. Herman, J. Francis, S. Ganju, B. Chen, A. Koul, A. Gupta, A. Skabelkin, I. Zhukov, M. Kumskoy, and E. Nyberg, “Learn-to-race: A multimodal control environment for autonomous racing,” 2021
2021
Later among the works it cites.
L. Hermansdorfer, R. Trauth, J. Betz, and M. Lienkamp, “End-to-end neural network for vehicle dynamics modeling,” in 2020 6th IEEE Congress on Information Science and Technology (CiSt) . IEEE, Jun. 2020. [Online]. Available: https://doi.org/10.1109/cist49399.2021.9357196
2021
Later among the works it cites.
A. Joglekar, B. Deshpande, M. Basuthakur, and V. N. Krovi, “Fusing offline and online trajectory optimization techniques for goal-to-goal navigation of a scaled autonomous vehicle,” in SAE Technical Paper Series . SAE International, Apr. 2021. [Online]. Available: https://doi.org/10.4271/2021-01-0097
2021
Later among the works it cites.
N. L. Large, F. Bieder, and M. Lauer, “Comparison of different SLAM approaches for a driverless race car,” tm - Technisches Messen , vol. 88, no. 4, pp. 227–236, Mar. 2021. [Online]. Available: https://doi.org/10.1515/teme-2021-0004
2021
Later among the works it cites.
S. Lovato and M. Massaro, “Three-dimensional fixed-trajectory approaches to the minimum-lap time of road vehicles,” Vehicle System Dynamics , pp. 1–18, Aug. 2021. [Online]. Available: https://doi.org/10.1080/00423114.2021.1969024
2021
Later among the works it cites.
M. Montani, L. Ronchi, R. Capitani, and C. Annicchiarico, “A hierarchical autonomous driver for a racing car: Real-time planning and tracking of the trajectory,” Energies , vol. 14, no. 19, p. 6008, Sep. 2021. [Online]. Available: https://doi.org/10.3390/en14196008
2021
Later among the works it cites.
W. zheng Peng, Y. hui Ao, J. hui He, and P. fei Wang, “Vehicle odometry with camera-lidar-IMU information fusion and factor-graph optimization,” Journal of Intelligent & Robotic Systems , vol. 101, no. 4, Apr. 2021. [Online]. Available: https://doi.org/10.1007/s10846-021-01329-x
2021
Later among the works it cites.
A. Remonda, E. Veas, and G. Luzhnica, “Comparing driving behavior of humans and autonomous driving in a professional racing simulator,” PLOS ONE , vol. 16, no. 2, p. e0245320, Feb. 2021. [Online]. Available: https://doi.org/10.1371/journal.pone.0245320
2021
Later among the works it cites.
W. Schwarting, T. Seyde, I. Gilitschenski, L. Liebenwein, R. Sander, S. Karaman, and D. Rus, “Deep latent competition: Learning to race using visual control policies in latent space,” 2021
2021
Later among the works it cites.
W. Schwarting, A. Pierson, S. Karaman, and D. Rus, “Stochastic dynamic games in belief space,” IEEE Transactions on Robotics , pp. 1–16, 2021. [Online]. Available: https://doi.org/10.1109/tro.2021.3075376
2021
Later among the works it cites.
Y. Song, H. Lin, E. Kaufmann, P. Duerr, and D. Scaramuzza, “Autonomous overtaking in gran turismo sport using curriculum reinforcement learning,” 2021
2021
Later among the works it cites.
S. Srinivasan, S. N. Giles, and A. Liniger, “A holistic motion planning and control solution to challenge a professional racecar driver,” 2021
2021
Later among the works it cites.
T. Stahl and F. Diermeyer, “Online verification enabling approval of driving functions—implementation for a planner of an autonomous race vehicle,” IEEE Open Journal of Intelligent Transportation Systems , vol. 2, pp. 97–110, 2021. [Online]. Available: https://doi.org/10.1109/ojits.2021.3078121
2021
Later among the works it cites.
J. Subosits and J. C. Gerdes, “Impacts of model fidelity on trajectory optimization for autonomous vehicles in extreme maneuvers,” IEEE Transactions on Intelligent Vehicles , pp. 1–1, 2021. [Online]. Available: https://doi.org/10.1109/tiv.2021.3051325
2021
Later among the works it cites.
V. Sukhil and M. Behl, “Adaptive lookahead pure-pursuit for autonomous racing,” 2021
2021
Later among the works it cites.
E. Tramacere, S. Luciani, S. Feraco, A. Bonfitto, and N. Amati, “Processor-in-the-loop architecture design and experimental validation for an autonomous racing vehicle,” Applied Sciences , vol. 11, no. 16, p. 7225, Aug. 2021. [Online]. Available: https://doi.org/10.3390/app11167225
2021
Later among the works it cites.
A. Wischnewski, M. Euler, S. Gümüs, and B. Lohmann, “Tube model predictive control for an autonomous race car,” Vehicle System Dynamics , pp. 1–23, Jun. 2021. [Online]. Available: https://doi.org/10.1080/00423114.2021.1943461
2021
Later among the works it cites.
C. Jung, S. Lee, H. Seong, A. Finazzi, and D. H. Shim, “Game-theoretic model predictive control with data-driven identification of vehicle model for head-to-head autonomous racing,” in 2021 International Conference on Robotics and Automation (ICRA 2021) - Workshop Opportunities and Challenges With Autonomous Racing . IEEE, 2021. [Online]. Available: https://linklab-uva.github.io/icra-autonomous-racing/contributed_papers/paper1.pdf
2021
Later among the works it cites.
N. Li, E. Goubault, L. Pautet, and S. Putot, “Autonomous racecar control in head-to-head competition using mixed-integer quadratic programming,” in 2021 International Conference on Robotics and Automation (ICRA 2021) - Workshop Opportunities and Challenges With Autonomous Racing . IEEE, 2021. [Online]. Available: https://linklab-uva.github.io/icra-autonomous-racing/contributed_papers/paper2.pdf
2021
Later among the works it cites.
M. Schratter, J. Zubaca, K. Mautner-Lassnig, T. Renzler, M. Kirchengast, S. Loigge, M. Stolz, and D. Watzenig, “Lidar-based mapping and localization for autonomous racing,” in 2021 International Conference on Robotics and Automation (ICRA 2021) - Workshop Opportunities and Challenges With Autonomous Racing . IEEE, 2021. [Online]. Available: https://linklab-uva.github.io/icra-autonomous-racing/contributed_papers/paper4.pdf
2021
Later among the works it cites.
T. Weiss, J. Chrosniak, and M. Behl, “Towards multi-agent autonomous racing with the deepracing framework,” in 2021 International Conference on Robotics and Automation (ICRA 2021) - Workshop Opportunities and Challenges With Autonomous Racing . IEEE, 2021. [Online]. Available: https://linklab-uva.github.io/icra-autonomous-racing/contributed_papers/paper5.pdf
2021
Later among the works it cites.
M. Schmid, Q. Zhu, A. Boncimino, R. Prucka, and C. Paredis, “Control informed design of the iac autonomous racecar for operation at the dynamic envelope,” in 2021 International Conference on Robotics and Automation (ICRA 2021) - Workshop Opportunities and Challenges With Autonomous Racing . IEEE, 2021. [Online]. Available: https://linklab-uva.github.io/icra-autonomous-racing/contributed_papers/paper6.pdf
2021
Later among the works it cites.
X. Xiao, J. Biswas, and P. Stone, “Learning inverse kinodynamics for accurate high-speed off-road navigation on unstructured terrain,” in 2021 International Conference on Robotics and Automation (ICRA 2021) - Workshop Opportunities and Challenges With Autonomous Racing . IEEE, 2021. [Online]. Available: https://linklab-uva.github.io/icra-autonomous-racing/contributed_papers/paper7.pdf
2021
Later among the works it cites.
D. Kalaria, P. Maheshwari, A. Jha, A. Issar, D. Chakravarty, S. Anwar, and A. Tovar, “Local nmpc on global optimised path for autonomous racing,” in 2021 International Conference on Robotics and Automation (ICRA 2021) - Workshop Opportunities and Challenges With Autonomous Racing . IEEE, 2021. [Online]. Available: https://linklab-uva.github.io/icra-autonomous-racing/contributed_papers/paper8.pdf
2021
Later among the works it cites.
J. Bhargav, J. Betz, H. Zheng, and R. Mangharam, “Track based offline policy learning for overtaking maneuvers with autonomous racecars,” in 2021 International Conference on Robotics and Automation (ICRA 2021) - Workshop Opportunities and Challenges With Autonomous Racing . IEEE, 2021. [Online]. Available: https://linklab-uva.github.io/icra-autonomous-racing/contributed_papers/paper9.pdf
2021
Later among the works it cites.
S. Wadeka, B. Schwartz, A. Gamal, S. Kannan, M. Mar, R. Manna, V. Chellapandi, and D. Gonzalez, “Towards end-to-end deep learning for autonomous racing: On data collection and a unified architecture for steering and throttle prediction,” in 2021 International Conference on Robotics and Automation (ICRA 2021) - Workshop Opportunities and Challenges With Autonomous Racing . IEEE, 2021. [Online]. Available: https://linklab-uva.github.io/icra-autonomous-racing/contributed_papers/paper10.pdf
2021
Later among the works it cites.
T. Brüdigam, A. Capone, S. Hirche, D. Wollherr, and M. Leibold, “Gaussian process-based stochastic model predictive control for overtaking in autonomous racing,” in 2021 International Conference on Robotics and Automation (ICRA 2021) - Workshop Opportunities and Challenges With Autonomous Racing . IEEE, 2021. [Online]. Available: https://linklab-uva.github.io/icra-autonomous-racing/contributed_papers/paper11.pdf
2021
Later among the works it cites.
R. Wang, Y. Han, and U. Vaidya, “Deep koopman data-driven control framework forautonomous racing,” in 2021 International Conference on Robotics and Automation (ICRA 2021) - Workshop Opportunities and Challenges With Autonomous Racing . IEEE, 2021. [Online]. Available: https://linklab-uva.github.io/icra-autonomous-racing/contributed_papers/paper12.pdf
2021
Later among the works it cites.
M. Jiang, K. Miller, D. Sun, Z. Liu, Y. Jia, A. Datta, N. Ozay, and S. Mitra, “Continuous integration and testing for autonomous racing software: An experience report from graic,” in 2021 International Conference on Robotics and Automation (ICRA 2021) - Workshop Opportunities and Challenges With Autonomous Racing . IEEE, 2021. [Online]. Available: https://linklab-uva.github.io/icra-autonomous-racing/contributed_papers/paper13.pdf
2021
Later among the works it cites.
T. Herrmann, F. Sauerbeck, M. Bayerlein, J. Betz, and M. Lienkamp, “Optimization-based real-time-capable energy strategy for autonomous electric race cars [ saeindextestsamplev2 2022-01-17t10:06:32.798262z],” SAE International Journal of Connected and Automated Vehicles , vol. 5, no. 1, jan 2022
2022
Closest in time.
F. Sauerbeck, L. Baierlein, J. Betz, and M. Lienkamp, “A combined lidar-camera localization for autonomous race cars [ saeindextestsamplev2 2022-01-18t10:06:44.605496z],” SAE International Journal of Connected and Automated Vehicles , vol. 5, no. 1, jan 2022. [Online]. Available: https://doi.org/10.4271/12-05-01-0006
2022
Closest in time.
S. D. Pendleton, H. Andersen, X. Du, X. Shen, M. Meghjani, Y. H. Eng, D. Rus, and M. H. Ang, “Perception, planning, control, and coordination for autonomous vehicles,” Machines , vol. 5, no. 1, 2017. [Online]. Available: https://www.mdpi.com/2075-1702/5/1/6
2075
Closest in time.