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Autonomous drone racing is becoming an excellent platform to challenge quadrotors' autonomy techniques including planning, navigation and control technologies.
D. Mellinger and V. Kumar, “Minimum snap trajectory generation and control for quadrotors,” in 2011 IEEE International Conference on Robotics and Automation
2011
Earlier work this paper cites.
A. Kushleyev, D. Mellinger, C. Powers, and V. Kumar, “Towards a swarm of agile micro quadrotors,” Autonomous Robots
2013
Earlier work this paper cites.
M. Faessler, A. Franchi, and D. Scaramuzza, “Differential flatness of quadrotor dynamics subject to rotor drag for accurate tracking of high-speed trajectories,” IEEE Robotics and Automation Letters
2017
Earlier work this paper cites.
H. Moon, Y. Sun, J. Baltes, and S. J. Kim, “The iros 2016 competitions [competitions],” IEEE Robotics and Automation Magazine
2017
Earlier work this paper cites.
S. Jung, S. Cho, D. Lee, H. Lee, and D. H. Shim, “A direct visual servoing-based framework for the 2016 iros autonomous drone racing challenge,” Journal of Field Robotics
2018
Earlier work this paper cites.
W. Hönig, J. A. Preiss, T. S. Kumar, G. S. Sukhatme, and N. Ayanian, “Trajectory planning for quadrotor swarms,” IEEE Transactions on Robotics
2018
Earlier work this paper cites.
H. Moon, J. Martinez-Carranza, T. Cieslewski, M. Faessler, D. Falanga, A. Simovic, D. Scaramuzza, S. Li, M. Ozo, C. De Wagter, et al
2019
Cited alongside, same era.
E. Kaufmann, M. Gehrig, P. Foehn, R. Ranftl, A. Dosovitskiy, V. Koltun, and D. Scaramuzza, “Beauty and the beast: Optimal methods meet learning for drone racing,” in 2019 International Conference on Robotics and Automation (ICRA)
2019
Cited alongside, same era.
K. McGuire, C. De Wagter, K. Tuyls, H. Kappen, and G. C. de Croon, “Minimal navigation solution for a swarm of tiny flying robots to explore an unknown environment,” Science Robotics
2019
Cited alongside, same era.
S. Li, M. M. Ozo, C. De Wagter, and G. C. de Croon, “Autonomous drone race: A computationally efficient vision-based navigation and control strategy,” Robotics and Autonomous Systems
2020
Cited alongside, same era.
B. P. Duisterhof, S. Li, J. Burgués, V. J. Reddi, and G. C. de Croon, “Sniffy bug: A fully autonomous swarm of gas-seeking nano quadcopters in cluttered environments,” in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
2021
Later among the works it cites.
X. Zhou, J. Zhu, H. Zhou, C. Xu, and F. Gao, “Ego-swarm: A fully autonomous and decentralized quadrotor swarm system in cluttered environments,” in 2021 IEEE international conference on robotics and automation (ICRA)
2021
Later among the works it cites.
C. De Wagter, F. Paredes-Vallés, N. Sheth, and G. de Croon, “The sensing state-estimation and control behind the winning entry to the 2019 artificial intelligence robotic racing competition,” Field Robot
2022
Later among the works it cites.
P. Foehn, D. Brescianini, E. Kaufmann, T. Cieslewski, M. Gehrig, M. Muglikar, and D. Scaramuzza, “Alphapilot: Autonomous drone racing,” Autonomous Robots
2022
Later among the works it cites.
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S. Li, E. van der Horst, P. Duernay, C. De Wagter, and G. C. de Croon, “Visual model-predictive localization for computationally efficient autonomous racing of a 72-g drone,” Journal of Field Robotics
2020
Cited alongside, same era.
P. Foehn, A. Romero, and D. Scaramuzza, “Time-optimal planning for quadrotor waypoint flight,” Science Robotics
2021
Cited alongside, same era.
X. Zhou, X. Wen, Z. Wang, Y. Gao, H. Li, Q. Wang, T. Yang, H. Lu, Y. Cao, C. Xu, et al
2022
Later among the works it cites.
D. Hanover, A. Loquercio, L. Bauersfeld, A. Romero, R. Penicka, Y. Song, G. Cioffi, E. Kaufmann, and D. Scaramuzza, “Autonomous drone racing: A survey,” arXiv e-prints
2023
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