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End-to-end autonomous driving has achieved remarkable progress by integrating perception, prediction, and planning into a fully differentiable framework.
Congested traffic states in empirical observations and microscopic simulations
Martin Treiber, Ansgar Hennecke, and Dirk Helbing · 2000
Earlier work this paper cites.
Policy evaluation with temporal differences: A survey and comparison
Christoph Dann, Gerhard Neumann, and Jan Peters · 2014
Earlier work this paper cites.
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Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, et al · 2015
Earlier work this paper cites.
Carla: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
Earlier work this paper cites.
Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
Earlier work this paper cites.
Baidu apollo em motion planner
Haoyang Fan, Fan Zhu, Changchun Liu, Liangliang Zhang, Li Zhuang, Dong Li, Weicheng Zhu, Jiangtao Hu, Hongye Li, and Qi Kong · 2018
Earlier work this paper cites.
Soft actor-critic algorithms and applications
Tuomas Haarnoja, Aurick Zhou, Kristian Hartikainen, George Tucker, Sehoon Ha, Jie Tan, Vikash Kumar, Henry Zhu, Abhishek Gupta, Pieter Abbeel, et al · 2018
Earlier work this paper cites.
Model-predictive policy learning with uncertainty regularization for driving in dense traffic
Mikael Henaff, Alfredo Canziani, and Yann LeCun · 2019
Earlier work this paper cites.
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Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
Earlier work this paper cites.
Learning by cheating
Dian Chen, Brady Zhou, Vladlen Koltun, and Philipp Krähenbühl · 2020
Earlier work this paper cites.
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Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, and Raquel Urtasun · 2020
Earlier work this paper cites.
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Ardi Tampuu, Tambet Matiisen, Maksym Semikin, Dmytro Fishman, and Naveed Muhammad · 2020
Earlier work this paper cites.
End-to-end model-free reinforcement learning for urban driving using implicit affordances
Marin Toromanoff, Emilie Wirbel, and Fabien Moutarde · 2020
Earlier work this paper cites.
nuplan: A closed-loop ml-based planning benchmark for autonomous vehicles
Holger Caesar, Juraj Kabzan, Kok Seang Tan, Whye Kit Fong, Eric Wolff, Alex Lang, Luke Fletcher, Oscar Beijbom, and Sammy Omari · 2021
Earlier work this paper cites.
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Trajectory-guided control prediction for end-to-end autonomous driving: a simple yet strong baseline
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Bench2drive: Towards multi-ability benchmarking of closed-loop end-to-end autonomous driving
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Diffusiondrive: Truncated diffusion model for end-to-end autonomous driving
Bencheng Liao, Shaoyu Chen, Haoran Yin, Bo Jiang, Cheng Wang, Sixu Yan, Xinbang Zhang, Xiangyu Li, Ying Zhang, Qian Zhang, et al · 2024
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Para-drive: Parallelized architecture for real-time autonomous driving
Xinshuo Weng, Boris Ivanovic, Yan Wang, Yue Wang, and Marco Pavone · 2024
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Drama: An efficient end-to-end motion planner for autonomous driving with mamba
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