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"

36 / 186 papers shown

Title
End-to-end Autonomous Driving Perception with Sequential Latent Representation Learning Jianyu Chen Zhuo Xu Masayoshi Tomizuka BDL 32 13 0 21 Mar 2020
Visual Navigation Among Humans with Optimal Control as a Supervisor Varun Tolani Somil Bansal Aleksandra Faust Claire Tomlin 17 39 0 20 Mar 2020
Collaborative Motion Prediction via Neural Motion Message Passing Yue Hu Siheng Chen Ya Zhang Xiao Gu 27 103 0 14 Mar 2020
A Survey of End-to-End Driving: Architectures and Training Methods Ardi Tampuu Maksym Semikin Naveed Muhammad D. Fishman Tambet Matiisen 3DV 23 229 0 13 Mar 2020
On the Road with 16 Neurons: Mental Imagery with Bio-inspired Deep Neural Networks Alice Plebe M. Lio 17 2 0 09 Mar 2020
A Multi-Modal States based Vehicle Descriptor and Dilated Convolutional Social Pooling for Vehicle Trajectory Prediction Huimin Zhang Yafei Wang Junjia Liu Chengwei Li Taiyuan Ma Chengliang Yin 19 12 0 07 Mar 2020
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding Seonguk Park Gyubok Lee Manoj Bhat Jimin Seo Minseok Kang Jonathan M Francis Ashwin R. Jadhav Paul Pu Liang Louis-Philippe Morency 136 119 0 06 Mar 2020
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path Keita Ota Y. Sasaki Devesh K. Jha Yusuke Yoshiyasu Asako Kanezaki 27 18 0 03 Mar 2020
3D Point Cloud Processing and Learning for Autonomous Driving Siheng Chen Baoan Liu Chen Feng Carlos Vallespi-Gonzalez Carl K. Wellington 3DPC 61 164 0 01 Mar 2020
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning Jianyu Chen Shengbo Eben Li Masayoshi Tomizuka 57 226 0 23 Jan 2020
Learning by Cheating Dian Chen Brady Zhou V. Koltun Philipp Krahenbuhl SSL 47 504 0 27 Dec 2019
A Survey of Deep Learning Applications to Autonomous Vehicle Control Sampo Kuutti Richard Bowden Yaochu Jin P. Barber Saber Fallah 36 507 0 23 Dec 2019
SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning Albert Zhao Tong He Yitao Liang Haibin Huang Guy Van den Broeck Stefano Soatto 17 16 0 06 Dec 2019
CoverNet: Multimodal Behavior Prediction using Trajectory Sets Tung Phan-Minh E. Grigore Freddy A. Boulton Oscar Beijbom Eric M. Wolff 36 379 0 23 Nov 2019
Driving Reinforcement Learning with Models Meghana Rathi P. Ferraro G. Russo 15 10 0 11 Nov 2019
Multiple Futures Prediction Yichuan Tang Ruslan Salakhutdinov 39 348 0 04 Nov 2019
Winning the ICCV 2019 Learning to Drive Challenge M. Diodato Yu Li M. Goyal Iddo Drori HAI 8 4 0 23 Oct 2019
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data Sergio Casas Cole Gulino Renjie Liao R. Urtasun AI4CE 174 211 0 18 Oct 2019
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction Ajay Jain Sergio Casas Renjie Liao Yuwen Xiong Song Feng Sean Segal R. Urtasun 158 73 0 17 Oct 2019
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction Yuning Chai Benjamin Sapp Mayank Bansal Dragomir Anguelov 46 653 0 12 Oct 2019
Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles Abbas Sadat Mengye Ren A. Pokrovsky Yen-Chen Lin Ersin Yumer R. Urtasun 22 92 0 10 Oct 2019
Review of Learning-based Longitudinal Motion Planning for Autonomous Vehicles: Research Gaps between Self-driving and Traffic Congestion Hao Zhou Jorge A. Laval Anye Zhou Yu Wang W. Wu Zhuo Qing S. Peeta 18 37 0 02 Oct 2019
Synthetic Data for Deep Learning Sergey I. Nikolenko 48 349 0 25 Sep 2019
CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving Scenarios Wenhao Ding Mengdi Xu Ding Zhao 35 52 0 17 Sep 2019
StarNet: Targeted Computation for Object Detection in Point Clouds Jiquan Ngiam Benjamin Caine Wei Han Brandon Yang Yuning Chai ... O. Alsharif Patrick Nguyen Zhehuai Chen Jonathon Shlens Vijay Vasudevan 3DPC 29 111 0 29 Aug 2019
Google Research Football: A Novel Reinforcement Learning Environment Karol Kurach Anton Raichuk Piotr Stańczyk Michal Zajac Olivier Bachem ... C. Riquelme Damien Vincent Marcin Michalski Olivier Bousquet Sylvain Gelly 54 398 0 25 Jul 2019
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward A. Qayyum Muhammad Usama Junaid Qadir Ala I. Al-Fuqaha AAML 27 187 0 29 May 2019
FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network Jonah Philion 17 159 0 10 May 2019
Model-free Deep Reinforcement Learning for Urban Autonomous Driving Jianyu Chen Bodi Yuan Masayoshi Tomizuka 30 262 0 20 Apr 2019
Multi-Agent Tensor Fusion for Contextual Trajectory Prediction Tianyang Zhao Yifei Xu Mathew Monfort Wongun Choi Chris L. Baker Yibiao Zhao Yizhou Wang Ying Nian Wu 27 393 0 09 Apr 2019
Learning Accurate, Comfortable and Human-like Driving Simon Hecker Dengxin Dai Luc Van Gool 27 29 0 26 Mar 2019
Periphery-Fovea Multi-Resolution Driving Model guided by Human Attention Ye Xia Jinkyu Kim John F. Canny K. Zipser D. Whitney 24 51 0 24 Mar 2019
Short-Term Prediction and Multi-Camera Fusion on Semantic Grids Lukas Hoyer Patrick Kesper Anna Khoreva Volker Fischer MDE 21 12 0 21 Mar 2019
Combining Optimal Control and Learning for Visual Navigation in Novel Environments Somil Bansal Varun Tolani Saurabh Gupta Jitendra Malik Claire Tomlin 13 162 0 06 Mar 2019
Architecting Dependable Learning-enabled Autonomous Systems: A Survey Chih-Hong Cheng Dhiraj Gulati Rongjie Yan 27 4 0 27 Feb 2019
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Di Feng Christian Haase-Schuetz Lars Rosenbaum Heinz Hertlein Claudius Gläser Fabian Duffhauss W. Wiesbeck Klaus C. J. Dietmayer 3DPC 41 989 0 21 Feb 2019