ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst

7 December 2018

Papers citing "ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst"

50 / 186 papers shown

Title
CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving Dongkun Zhang Jiaming Liang Ke Guo Sha Lu Qi Wang R. Xiong Zhenwei Miao Yue Wang 68 1 0 27 Feb 2025
Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Kumar Manas Adrian Paschke 57 0 0 13 Feb 2025
Diffusion-Based Planning for Autonomous Driving with Flexible Guidance Yinan Zheng Ruiming Liang Kexin Zheng Jinliang Zheng Liyuan Mao ... Weihao Gu Rui Ai Shengbo Eben Li Xianyuan Zhan Jingjing Liu 76 6 0 26 Jan 2025
Driving with Regulation: Interpretable Decision-Making for Autonomous Vehicles with Retrieval-Augmented Reasoning via LLM Tianhui Cai Yifan Liu Zewei Zhou Haoxuan Ma Seth Z. Zhao Zhiwen Wu Jiaqi Ma 55 8 0 07 Oct 2024
Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models A. Popov Alperen Degirmenci David Wehr Shashank Hegde Ryan Oldja ... David Nistér Urs Muller Ruchi Bhargava Stan Birchfield Nikolai Smolyanskiy 83 9 0 25 Sep 2024
Realistic Extreme Behavior Generation for Improved AV Testing Robert Dyro Matthew Foutter Ruolin Li L. D. Lillo Edward Schmerling Xilin Zhou Marco Pavone AAML 41 1 0 16 Sep 2024
Decentralized and Asymmetric Multi-Agent Learning in Construction Sites Yakov Miron Dan Navon Yuval Goldfracht Dotan Di Castro Itzik Klein 37 0 0 16 Sep 2024
Lab2Car: A Versatile Wrapper for Deploying Experimental Planners in Complex Real-world Environments Marc Heim Fráncisco Suarez-Ruiz Ishraq Bhuiyan Bruno Brito Momchil S. Tomov 36 1 0 14 Sep 2024
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning Jianye Xu Pan Hu Bassam Alrifaee 49 5 0 14 Aug 2024
A Rule-Based Behaviour Planner for Autonomous Driving Bouchard Frederic Sedwards Sean Czarnecki Krzysztof 20 4 0 29 Jun 2024
LCSim: A Large-Scale Controllable Traffic Simulator Yuheng Zhang Tianjian Ouyang Fudan Yu Cong Ma Lei Qiao Jingtao Ding Jian Yuan Yong Li 51 2 0 28 Jun 2024
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving Daniel Bogdoll Iramm Hamdard Lukas Namgyu Rößler Felix Geisler Muhammed Bayram ... Miguel de Campos Anushervon Tabarov Yitian Yang Hanno Gottschalk J. Marius Zöllner 47 5 0 13 May 2024
Leveraging Swarm Intelligence to Drive Autonomously: A Particle Swarm Optimization based Approach to Motion Planning Sven Ochs Jens Doll Marc Heinrich Philip Schorner Sebastian Klemm M. Zofka J. M. Zöllner 24 3 0 03 Apr 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 72 6 0 18 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 47 31 0 07 Mar 2024
EAN-MapNet: Efficient Vectorized HD Map Construction with Anchor Neighborhoods Huiyuan Xiong Jun Shen Taohong Zhu Yuelong Pan 30 3 0 28 Feb 2024
Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational test Kathy Jang Nathan Lichtlé Eugene Vinitsky Adit Shah Matt Bunting ... Dan Work M. D. Monache Jonathan Sprinkle Jonathan W. Lee Alexandre M. Bayen 28 7 0 26 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 28 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 61 11 0 18 Jan 2024
Robust Imitation Learning for Automated Game Testing P. Amadori Timothy Bradley Ryan Spick Guy Moss 29 1 0 09 Jan 2024
Heterogeneous Graph-based Trajectory Prediction using Local Map Context and Social Interactions Daniel Grimm Maximilian Zipfl Felix Hertlein Alexander Naumann Jürgen Lüttin Steffen Thoma Stefan Schmid Lavdim Halilaj Achim Rettinger J. Marius Zöllner 38 3 0 30 Nov 2023
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving Hao Sha Yao Mu Yuxuan Jiang Li Chen Chenfeng Xu Ping Luo Shengbo Eben Li Masayoshi Tomizuka Wei Zhan Mingyu Ding 135 162 0 04 Oct 2023
Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving Long Chen Oleg Sinavski Jan Hünermann Alice Karnsund Andrew James Willmott Danny Birch Daniel Maund Jamie Shotton MLLM 20 186 0 03 Oct 2023
Learning to Drive Anywhere Ruizhao Zhu Peng Huang Eshed Ohn-Bar Venkatesh Saligrama 47 6 0 21 Sep 2023
Utilizing Hybrid Trajectory Prediction Models to Recognize Highly Interactive Traffic Scenarios Maximilian Zipfl Sven Spickermann J. Marius Zöllner 33 1 0 13 Sep 2023
UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation Haiyang Wang Hao Tang Shaoshuai Shi Aoxue Li Zhenguo Li Bernt Schiele Liwei Wang ViT 47 56 0 15 Aug 2023
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions Vibha Bharilya Neetesh Kumar 36 47 0 12 Jul 2023
Safety-Critical Scenario Generation Via Reinforcement Learning Based Editing Haolan Liu Liangjun Zhang S. Hari Jishen Zhao 27 4 0 25 Jun 2023
Motion Perceiver: Real-Time Occupancy Forecasting for Embedded Systems Bryce Ferenczi Michael G. Burke Tom Drummond 29 4 0 15 Jun 2023
Safety of autonomous vehicles: A survey on Model-based vs. AI-based approaches Dimia Iberraken Lounis Adouane 19 1 0 29 May 2023
Differentially Private Attention Computation Yeqi Gao Zhao Song Xin Yang 55 21 0 08 May 2023
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems Andreas Look M. Kandemir Barbara Rakitsch Jan Peters BDL 38 6 0 02 May 2023
Integration of Reinforcement Learning Based Behavior Planning With Sampling Based Motion Planning for Automated Driving Marvin Klimke Benjamin Völz M. Buchholz 26 5 0 17 Apr 2023
Online Lane Graph Extraction from Onboard Video Y. Can Alexander Liniger D. Paudel Luc Van Gool 37 2 0 03 Apr 2023
Penalty-Based Imitation Learning With Cross Semantics Generation Sensor Fusion for Autonomous Driving Hongkuan Zhou Aifen Sui Letian Shi Yinxian Li 32 2 0 21 Mar 2023
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks Xing Gao Xiaogang Jia Yikang Li H. Xiong 27 33 0 08 Mar 2023
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review Yining Shi Kun Jiang Jiusi Li Zelin Qian Jun Wen Mengmeng Yang Ke Wang Diange Yang 91 25 0 02 Mar 2023
Hierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban Environments Gustavo Claudio Karl Couto Eric A. Antonelo GAN 32 6 0 09 Feb 2023
Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving Zhiyu Huang Haochen Liu Jingda Wu Wenhui Huang Chen Lv 36 17 0 08 Feb 2023
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints Laura Calem H. Ben-younes P. Pérez Nicolas Thome 38 3 0 07 Feb 2023
Automatic Intersection Management in Mixed Traffic Using Reinforcement Learning and Graph Neural Networks Marvin Klimke Benjamin Völz M. Buchholz 41 13 0 30 Jan 2023
DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets Haiyang Wang Chen Shi Shaoshuai Shi Meng Lei Sen Wang Di He Bernt Schiele Liwei Wang 46 119 0 15 Jan 2023
Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving Jonathan M Francis Bingqing Chen Weiran Yao Eric Nyberg Jean Oh OOD 37 5 0 16 Dec 2022
JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving Wenjie Luo C. Park Andre Cornman Benjamin Sapp Drago Anguelov 22 37 0 16 Dec 2022
Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results Sergey Levine Dhruv Shah SSL 54 21 0 13 Dec 2022
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles Peter Karkus Boris Ivanovic Shie Mannor Marco Pavone 36 46 0 13 Dec 2022
Evaluation of MPC-based Imitation Learning for Human-like Autonomous Driving F. S. Acerbo Jan Swevers Tinne Tuytelaars Tong Duy Son 37 3 0 22 Nov 2022
Dynamic Conditional Imitation Learning for Autonomous Driving Hesham M. Eraqi Mohamed Moustafa J. Honer 28 15 0 17 Nov 2022
GET-DIPP: Graph-Embedded Transformer for Differentiable Integrated Prediction and Planning Jiawei Sun Chengran Yuan Shuo Sun Zhiyang Liu Terence Goh A. Wong K. P. Tee M. Ang 33 6 0 11 Nov 2022
RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow Zhengbang Zhu Shenyu Zhang Yuzheng Zhuang Yuecheng Liu Minghuan Liu ... Bin Wang Siqi Cheng Xinyu Wang Jianye Hao Yong Yu 14 8 0 07 Nov 2022