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This paper develops a new control design for guaranteeing a vehicle's safety during lane change maneuvers in a complex traffic environment.
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2003
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W. J. Stein and T. R. Neuman, “Mitigation strategies for design exceptions,” United States. Federal Highway Administration. Office of Safety, Tech. Rep., 2007
2007
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M. Werling, J. Ziegler, S. Kammel, and S. Thrun, “Optimal trajectory generation for dynamic street scenarios in a frenet frame,” in IEEE International Conference on Robotics and Automation , 2010, pp. 987–993
2010
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H. Zheng, Z. Huang, C. Wu, and R. Negenborn, “Model predictive control for intelligent vehicle lane change,” in ICTIS: Improving Multimodal Transportation Systems-Information, Safety, and Integration , 2013, pp. 265–276
2013
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A. D. Ames, J. W. Grizzle, and P. Tabuada, “Control barrier function based quadratic programs with application to adaptive cruise control,” in IEEE Conference on Decision and Control , 2014, pp. 6271–6278
2014
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J. Kong, M. Pfeiffer, G. Schildbach, and F. Borrelli, “Kinematic and dynamic vehicle models for autonomous driving control design,” in IEEE Intelligent Vehicles Symposium , 2015, pp. 1094–1099
2015
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G. Wu and K. Sreenath, “Safety-critical control of a 3d quadrotor with range-limited sensing,” in Dynamic Systems and Control Conference , vol. 50695. American Society of Mechanical Engineers, 2016, p. V001T05A006
2016
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C. Wissing, T. Nattermann, K.-H. Glander, and T. Bertram, “Probabilistic time-to-lane-change prediction on highways,” in IEEE Intelligent Vehicles Symposium , 2017, pp. 1452–1457
2017
Cited alongside, same era.
C. Vallon, Z. Ercan, A. Carvalho, and F. Borrelli, “A machine learning approach for personalized autonomous lane change initiation and control,” in IEEE Intelligent Vehicles Symposium , 2017, pp. 1590–1595
2017
Cited alongside, same era.
Y. Chen, H. Peng, and J. Grizzle, “Obstacle avoidance for low-speed autonomous vehicles with barrier function,” IEEE Transactions on Control Systems Technology , vol. 26, no. 1, pp. 194–206, 2017
2017
Cited alongside, same era.
P. Polack, F. Altché, B. d’Andréa Novel, and A. de La Fortelle, “The kinematic bicycle model: A consistent model for planning feasible trajectories for autonomous vehicles?” in IEEE Intelligent Vehicles Symposium , 2017, pp. 812–818
2017
Cited alongside, same era.
Y. Chen, A. Hereid, H. Peng, and J. Grizzle, “Enhancing the performance of a safe controller via supervised learning for truck lateral control,” Journal of Dynamic Systems, Measurement, and Control , vol. 141, no. 10, 2019
2019
Later among the works it cites.
A. D. Ames, S. Coogan, M. Egerstedt, G. Notomista, K. Sreenath, and P. Tabuada, “Control barrier functions: Theory and applications,” in European Control Conference , 2019, pp. 3420–3431
2019
Later among the works it cites.
S. Bae, D. Saxena, A. Nakhaei, C. Choi, K. Fujimura, and S. Moura, “Cooperation-aware lane change maneuver in dense traffic based on model predictive control with recurrent neural network,” in American Control Conference , 2020, pp. 1209–1216
2020
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A. A. Joshi, D. L. Peters, and J. M. Bastiaan, “Autonomous lane change control using proportional-integral-derivative controller and bicycle model,” SAE Technical Paper, Tech. Rep., 2020
2020
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Y. Hu, W. Zhan, and M. Tomizuka, “Probabilistic prediction of vehicle semantic intention and motion,” in IEEE Intelligent Vehicles Symposium , 2018, pp. 307–313
2018
Cited alongside, same era.
M. Schmidt, C. Manna, J. H. Braun, C. Wissing, M. Mohamed, and T. Bertram, “An interaction-aware lane change behavior planner for automated vehicles on highways based on polygon clipping,” Robotics and Automation Letters , vol. 4, no. 2, pp. 1876–1883, 2019
2019
Cited alongside, same era.
X. Chen and W. Zhang, “Lane change control for self-driving vehicle based on model predictive control considering the instability of sensor detection,” in International Conference on Mechanical, Control and Computer Engineering , 2019, pp. 346–3465
2019
Cited alongside, same era.
T. D. Son and Q. Nguyen, “Safety-critical control for non-affine nonlinear systems with application on autonomous vehicle,” in 2019 IEEE 58th Conference on Decision and Control (CDC) . IEEE, 2019, pp. 7623–7628
2019
Cited alongside, same era.
Y. Chen, C. Hu, and J. Wang, “Impaired driver assistance control with gain-scheduling composite nonlinear feedback for vehicle trajectory tracking,” Journal of Dynamic Systems, Measurement, and Control , vol. 142, no. 7, 2020
2020
Later among the works it cites.
2020
Later among the works it cites.
U. Rosolia and A. D. Ames, “Multi-rate control design leveraging control barrier functions and model predictive control policies,” IEEE Control Systems Letters , vol. 5, no. 3, pp. 1007–1012, 2020
2020
Later among the works it cites.