End-to-end Interpretable Neural Motion Planner

17 January 2021

Papers citing "End-to-end Interpretable Neural Motion Planner"

26 / 26 papers shown

Title
VERDI: VLM-Embedded Reasoning for Autonomous Driving Bowen Feng Zhiting Mei Baiang Li Julian Ost Roger Girgis Anirudha Majumdar Felix Heide VLM LRM 191 0 0 21 May 2025
Temporal Triplane Transformers as Occupancy World Models Haoran Xu Peixi Peng Guang Tan Yiqian Chang Yisen Zhao Yonghong Tian 136 0 0 10 Mar 2025
Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving Ziying Song Caiyan Jia Lin Liu Hongyu Pan Yanzhe Zhang Junming Wang Wei Wei Shaoqing Xu Lei Yang Yadan Luo 94 3 0 05 Mar 2025
DeepInteraction++: Multi-Modality Interaction for Autonomous Driving Zeyu Yang Nan Song Wei Li Xiatian Zhu Lefei Zhang Philip H. S. Torr 127 4 0 24 Feb 2025
MonoForce: Learnable Image-conditioned Physics Engine R. Agishev Karel Zimmermann 170 0 0 14 Feb 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 119 14 0 20 Jan 2025
A Survey of World Models for Autonomous Driving Tuo Feng Wenguan Wang Yue Yang VGen 124 7 0 20 Jan 2025
MonoForce: Self-supervised Learning of Physics-informed Model for Predicting Robot-terrain Interaction R. Agishev Karel Zimmermann V. Kubelka M. Pecka Tomávs Svoboda 82 3 0 03 Jan 2025
Generalizable Motion Planning via Operator Learning Sharath Matada Luke Bhan Yuanyuan Shi Nikolay Atanasov 77 0 0 23 Oct 2024
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts Christopher P. Diehl Peter Karkus Sushant Veer Marco Pavone Torsten Bertram 374 0 0 13 Oct 2024
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 99 14 0 17 Sep 2024
AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Ramp Merging Senkang Hu Zhengru Fang Zihan Fang Yiqin Deng Xianhao Chen Yuguang Fang Sam Kwong 95 15 0 07 Aug 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 101 18 0 12 Jun 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 179 6 0 18 Mar 2024
Automated Lane Merging via Game Theory and Branch Model Predictive Control Luyao Zhang Shaohang Han S. Grammatico 52 4 0 25 Nov 2023
IntentNet: Learning to Predict Intention from Raw Sensor Data Sergio Casas Wenjie Luo R. Urtasun 3DPC 226 366 0 20 Jan 2021
PIXOR: Real-time 3D Object Detection from Point Clouds Binh Yang Wenjie Luo R. Urtasun 3DPC 61 1,090 0 17 Feb 2019
Baidu Apollo EM Motion Planner Haoyang Fan Fan Zhu Changchun Liu Liangliang Zhang Li Zhuang Dong Li Weicheng Zhu Jiangtao Hu Hongye Li Qi Kong 55 303 0 20 Jul 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 95 656 0 01 Jul 2018
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 133 5,146 0 10 Nov 2017
End-to-end Driving via Conditional Imitation Learning Felipe Codevilla Matthias Muller Antonio M. López V. Koltun Alexey Dosovitskiy 123 1,066 0 06 Oct 2017
Virtual to Real Reinforcement Learning for Autonomous Driving Xinlei Pan Yurong You Ziyan Wang Cewu Lu OffRL 67 336 0 13 Apr 2017
Pyramid Scene Parsing Network Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia VOS SSeg 550 11,984 0 04 Dec 2016
A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicles B. Paden Michal Cap Sze Zheng Yong Dmitry S. Yershov Emilio Frazzoli 53 2,020 0 25 Apr 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 77 4,163 0 25 Apr 2016
Maximum Entropy Deep Inverse Reinforcement Learning Markus Wulfmeier Peter Ondruska Ingmar Posner OOD 66 404 0 17 Jul 2015