Learning to Drive in a Day

1 July 2018

Alex Kendall

Alex Bewley

Papers citing "Learning to Drive in a Day"

50 / 269 papers shown

Title
SparseAD: Sparse Query-Centric Paradigm for Efficient End-to-End Autonomous Driving Diankun Zhang Guoan Wang Runwen Zhu Jianbo Zhao Xiwu Chen ... Haotian Yao Chi Zhang Xiaojun Liu Xiaoguang Di Bin Li 31 11 0 10 Apr 2024
Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving Imitation Learning with LLMs Yiqun Duan Qiang Zhang Renjing Xu 38 9 0 07 Apr 2024
End-to-End Autonomous Driving through V2X Cooperation Haibao Yu Wen-Yen Yang Jiaru Zhong Zhenwei Yang Siqi Fan Ping Luo Zaiqing Nie 37 13 0 31 Mar 2024
LORD: Large Models based Opposite Reward Design for Autonomous Driving Xin Ye Feng Tao Abhirup Mallik Burhaneddin Yaman Liu Ren OffRL 37 2 0 27 Mar 2024
DriveEnv-NeRF: Exploration of A NeRF-Based Autonomous Driving Environment for Real-World Performance Validation Mu-Yi Shen Chia-Chi Hsu Hao-Yu Hou Yu-Chen Huang Wei-Fang Sun Chia-Che Chang Yu-Lun Liu Chun-Yi Lee 35 3 0 23 Mar 2024
StereoNavNet: Learning to Navigate using Stereo Cameras with Auxiliary Occupancy Voxels Hongyu Li T. Padır Huaizu Jiang 36 2 0 18 Mar 2024
LitSim: A Conflict-aware Policy for Long-term Interactive Traffic Simulation Haojie Xin Xiaodong Zhang Renzhi Tang Songyang Yan Qianrui Zhao Chunze Yang Wen Cui Zijiang Yang 53 1 0 07 Mar 2024
Towards learning-based planning:The nuPlan benchmark for real-world autonomous driving Napat Karnchanachari Dimitris Geromichalos Kok Seang Tan Nanxiang Li Christopher Eriksen ... N. Mehdipour Gianmarco Bernasconi Whye Kit Fong Yiluan Guo Holger Caesar 32 31 0 07 Mar 2024
Robustifying a Policy in Multi-Agent RL with Diverse Cooperative Behaviors and Adversarial Style Sampling for Assistive Tasks Takayuki Osa Tatsuya Harada 23 2 0 01 Mar 2024
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model Jianhao Yuan Shuyang Sun Daniel Omeiza Bo-Lu Zhao Paul Newman Lars Kunze Matthew Gadd LRM 36 48 0 16 Feb 2024
Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations Zuojin Tang Xiaoyu Chen YongQiang Li Jianyu Chen 24 2 0 22 Jan 2024
LangProp: A code optimization framework using Large Language Models applied to driving Shu Ishida Gianluca Corrado George Fedoseev Hudson Yeo Lloyd Russell Jamie Shotton João F. Henriques Anthony Hu 54 11 0 18 Jan 2024
Combating the effects of speed and delays in end-to-end self-driving Ardi Tampuu Ilmar Uduste Kristjan Roosild OffRL 30 2 0 06 Dec 2023
A Survey on Multimodal Large Language Models for Autonomous Driving Can Cui Yunsheng Ma Xu Cao Wenqian Ye Yang Zhou ... Xinrui Yan Shuqi Mei Jianguo Cao Ziran Wang Chao Zheng 41 251 0 21 Nov 2023
Imagination-Augmented Hierarchical Reinforcement Learning for Safe and Interactive Autonomous Driving in Urban Environments Sang-Hyun Lee Yoonjae Jung Seung-Woo Seo 32 1 0 17 Nov 2023
Hierarchical Reinforcement Learning for Power Network Topology Control Blazej Manczak Jan Viebahn H. V. Hoof 34 7 0 03 Nov 2023
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation Jay Sarva Jingkang Wang James Tu Yuwen Xiong S. Manivasagam R. Urtasun 57 8 0 02 Nov 2023
Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models Tsun-Hsuan Wang Alaa Maalouf Wei Xiao Yutong Ban Alexander Amini Guy Rosman S. Karaman Daniela Rus 27 42 0 26 Oct 2023
Guaranteed Coverage Prediction Intervals with Gaussian Process Regression Harris Papadopoulos 24 11 0 24 Oct 2023
ManiCast: Collaborative Manipulation with Cost-Aware Human Forecasting K. Kedia Prithwish Dan Atiksh Bhardwaj Sanjiban Choudhury 3DH 24 7 0 20 Oct 2023
LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning Pedram Agand Mohammad Mahdavian Manolis Savva Mo Chen ViT 26 4 0 19 Oct 2023
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research Cole Gulino Justin Fu Wenjie Luo George Tucker Eli Bronstein ... Brandyn White Aleksandra Faust R. McAllister Drago Anguelov Benjamin Sapp 39 91 0 12 Oct 2023
$$\mathcal{B}$-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis$ $\mathcal{B}$ -Coder: Value-Based Deep Reinforcement Learning for Program Synthesis Zishun Yu Yunzhe Tao Liyu Chen Tao Sun Hongxia Yang 26 8 0 04 Oct 2023
Learning-Aided Warmstart of Model Predictive Control in Uncertain Fast-Changing Traffic Mohamed-Khalil Bouzidi Yue Yao Daniel Goehring Joerg Reichardt 13 3 0 04 Oct 2023
GAIA-1: A Generative World Model for Autonomous Driving Masane Fuchi Lloyd Russell Hudson Yeo Zak Murez Hiroto Minami Alex Kendall Tomohiro Takagi Gianluca Corrado VGen 28 215 0 29 Sep 2023
MBAPPE: MCTS-Built-Around Prediction for Planning Explicitly Raphael Chekroun Thomas Gilles Marin Toromanoff Sascha Hornauer Fabien Moutarde 27 9 0 15 Sep 2023
Learning Vehicle Dynamics from Cropped Image Patches for Robot Navigation in Unpaved Outdoor Terrains Jeong Hyun Lee Jinhyeok Choi Simo Ryu Hyunsik Oh Suyoung Choi Jemin Hwangbo 17 2 0 06 Sep 2023
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance Qisen Yang Shenzhi Wang Qihang Zhang Gao Huang Shiji Song OffRL OnRL 24 8 0 04 Sep 2023
Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles Yuhang Yang Kalle Kujanpää Amin Babadi J. Pajarinen Alexander Ilin 17 2 0 01 Sep 2023
EnsembleFollower: A Hybrid Car-Following Framework Based On Reinforcement Learning and Hierarchical Planning Xu Han Xianda Chen Meixin Zhu Pinlong Cai Jianshan Zhou X. Chu 14 7 0 30 Aug 2023
End-to-end Autonomous Driving using Deep Learning: A Systematic Review Apoorv Singh 35 9 0 27 Aug 2023
FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving Tengju Ye Wei Jing Chunyong Hu Shikun Huang Lingping Gao ... Wei Mao Hang Zheng Kun Li Junbo Chen Kaicheng Yu 31 38 0 02 Aug 2023
Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A Survey Pranav Singh Chib Pravendra Singh 19 109 0 10 Jul 2023
End-to-end Autonomous Driving: Challenges and Frontiers Li Chen Peng Wu Kashyap Chitta Bernhard Jaeger Andreas Geiger Hongyang Li 3DV 49 263 0 29 Jun 2023
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning Xinyang Lu Flint Xiaofeng Fan Tianying Wang 27 6 0 28 Jun 2023
Rethinking Closed-loop Training for Autonomous Driving Chris Zhang R. Guo Wenyuan Zeng Yuwen Xiong Binbin Dai Rui Hu Mengye Ren R. Urtasun OffRL 23 29 0 27 Jun 2023
Safe Reinforcement Learning with Dead-Ends Avoidance and Recovery Xiao Zhang Hai Zhang Hongtu Zhou Chang Huang Di Zhang Chen Ye Junqiao Zhao OffRL 27 4 0 24 Jun 2023
Parting with Misconceptions about Learning-based Vehicle Motion Planning D. Dauner Marcel Hallgarten Andreas Geiger Kashyap Chitta 24 113 0 13 Jun 2023
Transcendental Idealism of Planner: Evaluating Perception from Planning Perspective for Autonomous Driving Wei-Xin Li Xiaodong Yang 27 8 0 12 Jun 2023
Efficient Learning of Urban Driving Policies Using Bird's-Eye-View State Representations Raphael Trumpp M. Büchner Abhinav Valada Marco Caccamo 32 6 0 31 May 2023
Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings H. Cao Y. Mao L. Sha Marco Caccamo PINN AI4CE 32 5 0 26 May 2023
Learning to Predict Navigational Patterns from Partial Observations Robin Karlsson Alexander Carballo Francisco Lepe-Salazar Keisuke Fujii Kento Ohtani K. Takeda 19 2 0 26 Apr 2023
Parallel bootstrap-based on-policy deep reinforcement learning for continuous flow control applications J. Viquerat E. Hachem 16 2 0 24 Apr 2023
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing Kyle Stachowicz Dhruv Shah Arjun Bhorkar Ilya Kostrikov Sergey Levine OffRL 30 26 0 19 Apr 2023
Perception Imitation: Towards Synthesis-free Simulator for Autonomous Vehicles Xiaoliang Ju Yiyang Sun Yiming Hao Yikang Li Yu Qiao Hongsheng Li 22 1 0 19 Apr 2023
Integration of Reinforcement Learning Based Behavior Planning With Sampling Based Motion Planning for Automated Driving Marvin Klimke Benjamin Völz M. Buchholz 24 5 0 17 Apr 2023
Physical Deep Reinforcement Learning Towards Safety Guarantee H. Cao Y. Mao L. Sha Marco Caccamo AI4CE 14 5 0 29 Mar 2023
VAD: Vectorized Scene Representation for Efficient Autonomous Driving Bo Jiang Shaoyu Chen Qing Xu Bencheng Liao Jiajie Chen Helong Zhou Qian Zhang Wenyu Liu Chang Huang Xinggang Wang 110 194 0 21 Mar 2023
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives Siyu Teng Xuemin Hu Peng Deng Bai Li Yuchen Li ... Yunfeng Ai Lingxi Li Zhe Xuanyuan F. Zhu Long Chen 34 336 0 17 Mar 2023
An Autonomous System for Head-to-Head Race: Design, Implementation and Analysis; Team KAIST at the Indy Autonomous Challenge Chanyoung Jung Andrea Finazzi Hyunki Seong Daegyu Lee Seungwook Lee Bosung Kim Gyuri Gang Seung-Jun Han David Hyunchul Shim 11 10 0 16 Mar 2023