Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?

11 April 2024

Papers citing "Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?"

7 / 7 papers shown

Title
CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic Huaiyuan Yao Longchao Da Vishnu Nandam Justin Turnau Zhiwei Liu Linsey Pang Hua Wei LLMAG 61 4 0 10 Jan 2025
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts Christopher P. Diehl Peter Karkus Sushant Veer Marco Pavone Torsten Bertram 48 0 0 13 Oct 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 107 159 0 04 Oct 2023
Rethinking Imitation-based Planner for Autonomous Driving Jie-Zhi Cheng Yingbing Chen Xiaodong Mei Bowen Yang Bo Li Ming-Yu Liu 41 18 0 19 Sep 2023
GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving Zhiyu Huang Haochen Liu Chen Lv OffRL 60 89 0 10 Mar 2023
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving Kashyap Chitta Aditya Prakash Bernhard Jaeger Zehao Yu Katrin Renz Andreas Geiger ViT 87 291 0 31 May 2022
Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models Nicholas Rhinehart Jeff He Charles Packer Matthew A. Wright R. McAllister Joseph E. Gonzalez Sergey Levine 101 32 0 21 Apr 2021