Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations

13 August 2020

Papers citing "Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations"

35 / 35 papers shown

Title
M3CAD: Towards Generic Cooperative Autonomous Driving Benchmark Morui Zhu Yongqi Zhu Yihao Zhu Qi Chen Deyuan Qu Song Fu Q. Yang 69 0 0 10 May 2025
Drive in Corridors: Enhancing the Safety of End-to-end Autonomous Driving via Corridor Learning and Planning Zhiwei Zhang Ruichen Yang Ke Wu Zijun Xu Jingchu Liu Lisen Mu Zhongxue Gan Wenchao Ding 116 0 0 10 Apr 2025
End-to-End Driving with Online Trajectory Evaluation via BEV World Model Yingyan Li Yuqi Wang Yang Liu Jiawei He Lue Fan Zhaoxiang Zhang OffRL 503 4 0 02 Apr 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yue Yang Xiao Lin Zhipeng Zhao SSL 158 10 0 28 Jan 2025
A Survey of World Models for Autonomous Driving Tuo Feng Wenguan Wang Yue Yang VGen 142 8 0 20 Jan 2025
Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving Yu Yang Jianbiao Mei Yukai Ma Siliang Du Wenqing Chen Yijie Qian Yuxiang Feng Yong Liu 163 17 0 20 Jan 2025
RenderWorld: World Model with Self-Supervised 3D Label Ziyang Yan Wenzhen Dong Yihua Shao Yuhang Lu Liu Haiyang ... Haozhe Wang Zhe Wang Yan Wang Fabio Remondino Yuexin Ma 3DV VGen 147 18 0 17 Sep 2024
Enhancing End-to-End Autonomous Driving with Latent World Model Yingyan Li Lue Fan Jiawei He Yuqi Wang Yuntao Chen Zhaoxiang Zhang Tieniu Tan 162 22 0 12 Jun 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 235 6 0 18 Mar 2024
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 256 179 0 04 Oct 2023
IntentNet: Learning to Predict Intention from Raw Sensor Data Sergio Casas Wenjie Luo R. Urtasun 3DPC 244 368 0 20 Jan 2021
End-to-end Interpretable Neural Motion Planner Wenyuan Zeng Wenjie Luo Simon Suo Abbas Sadat Binh Yang Sergio Casas R. Urtasun 3DV 90 409 0 17 Jan 2021
Multi-Task Multi-Sensor Fusion for 3D Object Detection Ming Liang Binh Yang Yun Chen Rui Hu R. Urtasun 3DPC 99 617 0 22 Dec 2020
End-to-end Contextual Perception and Prediction with Interaction Transformer Lingyun Luke Li Binh Yang Ming Liang Wenyuan Zeng Mengye Ren Sean Segal R. Urtasun ViT 78 119 0 13 Aug 2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting Sergio Casas Cole Gulino Simon Suo Katie Z Luo Renjie Liao R. Urtasun 217 159 0 23 Jul 2020
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World S. Manivasagam Shenlong Wang K. Wong Wenyuan Zeng Mikita Sazanovich Shuhan Tan Binh Yang Wei-Chiu Ma R. Urtasun 3DPC 71 225 0 16 Jun 2020
The Importance of Prior Knowledge in Precise Multimodal Prediction Sergio Casas Cole Gulino Simon Suo R. Urtasun 45 42 0 04 Jun 2020
Learning by Cheating Dian Chen Brady Zhou V. Koltun Philipp Krahenbuhl SSL 126 518 0 27 Dec 2019
The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction Junwei Liang Lu Jiang Kevin Patrick Murphy Ting Yu Alexander G. Hauptmann 66 161 0 13 Dec 2019
Urban Driving with Conditional Imitation Learning Jeffrey Hawke Richard Shen Corina Gurau Siddharth Sharma Daniele Reda ... Przemyslaw Mazur Sean Micklethwaite Nicolas Griffiths Amar Shah Alex Kendall 124 147 0 30 Nov 2019
Multiple Futures Prediction Yichuan Tang Ruslan Salakhutdinov 98 353 0 04 Nov 2019
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data Sergio Casas Cole Gulino Renjie Liao R. Urtasun AI4CE 238 212 0 18 Oct 2019
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction Yuning Chai Benjamin Sapp Mayank Bansal Dragomir Anguelov 102 670 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 69 93 0 10 Oct 2019
Exploring the Limitations of Behavior Cloning for Autonomous Driving Felipe Codevilla Eder Santana Antonio M. López Adrien Gaidon 69 546 0 18 Apr 2019
PIXOR: Real-time 3D Object Detection from Point Clouds Binh Yang Wenjie Luo R. Urtasun 3DPC 78 1,097 0 17 Feb 2019
Learning to Predict Ego-Vehicle Poses for Sampling-Based Nonholonomic Motion Planning Holger Banzhaf Paul Sanzenbacher Ulrich Baumann Johann Marius Zöllner 28 20 0 03 Dec 2018
Learning to Drive in a Day Alex Kendall Jeffrey Hawke David Janz Przemyslaw Mazur Daniele Reda John M. Allen Vinh-Dieu Lam Alex Bewley Amar Shah 111 658 0 01 Jul 2018
Driving Policy Transfer via Modularity and Abstraction Matthias Muller Alexey Dosovitskiy Guohao Li V. Koltun 82 225 0 25 Apr 2018
Detect to Track and Track to Detect Christoph Feichtenhofer A. Pinz Andrew Zisserman VOT 123 562 0 11 Oct 2017
End-to-end Driving via Conditional Imitation Learning Felipe Codevilla Matthias Muller Antonio M. López V. Koltun Alexey Dosovitskiy 143 1,069 0 06 Oct 2017
Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling Stefan Hoermann Martin Bach Klaus C. J. Dietmayer 80 166 0 24 May 2017
Cognitive Mapping and Planning for Visual Navigation Saurabh Gupta Varun Tolani James Davidson Sergey Levine Rahul Sukthankar Jitendra Malik 93 715 0 13 Feb 2017
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 165 812 0 10 Jun 2016
End to End Learning for Self-Driving Cars Mariusz Bojarski D. Testa Daniel Dworakowski Bernhard Firner B. Flepp ... Urs Muller Jiakai Zhang Xin Zhang Jake Zhao Karol Zieba SSL 102 4,179 0 25 Apr 2016