Rule-based Optimal Control for Autonomous Driving

14 January 2021

Wei Xiao

Papers citing "Rule-based Optimal Control for Autonomous Driving"

30 / 30 papers shown

Title
Constraint Selection in Optimization-Based Controllers Haejoon Lee Panagiotis Rousseas Dimitra Panagou 24 0 0 06 May 2025
A Vehicle-Infrastructure Multi-layer Cooperative Decision-making Framework Yiming Cui Shiyu Fang Peng Hang Jian Sun 51 0 0 19 Mar 2025
Trajectory Planning with Signal Temporal Logic Costs using Deterministic Path Integral Optimization Patrick Halder Hannes Homburger Lothar Kiltz Johannes Reuter Matthias Althoff 42 1 0 03 Mar 2025
Traffic-Rule-Compliant Trajectory Repair via Satisfiability Modulo Theories and Reachability Analysis Yuanfei Lin Zekun Xing Xuyuan Han Matthias Althoff 88 1 0 20 Dec 2024
WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents Siyu Zhou Tianyi Zhou Yijun Yang Guodong Long Deheng Ye Jing Jiang Chengqi Zhang LLMAG LM&Ro 33 3 0 09 Oct 2024
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
Optimization of Rulebooks via Asymptotically Representing Lexicographic Hierarchies for Autonomous Vehicles Matteo Penlington A. Zanardi Emilio Frazzoli 39 0 0 17 Sep 2024
Autonomous Drifting Based on Maximal Safety Probability Learning Hikaru Hoshino Jiaxing Li Arnav Menon John M. Dolan Yorie Nakahira 28 0 0 05 Sep 2024
Don't Get Stuck: A Deadlock Recovery Approach Francesca Baldini Faizan M. Tariq Sangjae Bae David Isele 33 1 0 19 Aug 2024
Model Predictive Path Integral Methods with Reach-Avoid Tasks and Control Barrier Functions Hardik Parwana Mitchell Black Georgios Fainekos Bardh Hoxha Hideki Okamoto Danil Prokhorov 40 1 0 18 Jul 2024
Safe CoR: A Dual-Expert Approach to Integrating Imitation Learning and Safe Reinforcement Learning Using Constraint Rewards Hyeokjin Kwon Gunmin Lee Junseo Lee Songhwai Oh 54 0 0 02 Jul 2024
A Rule-Based Behaviour Planner for Autonomous Driving Bouchard Frederic Sedwards Sean Czarnecki Krzysztof 23 4 0 29 Jun 2024
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters J. Lavington Ke Zhang Vasileios Lioutas Matthew Niedoba Yunpeng Liu ... Xiaoxuan Liang Setareh Dabiri Adam Scibior Berend Zwartsenberg Frank Wood 34 5 0 07 May 2024
A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving Ahmed Abouelazm Jonas Michel J. M. Zöllner 44 6 0 12 Apr 2024
CBFKIT: A Control Barrier Function Toolbox for Robotics Applications Mitchell Black Georgios Fainekos Bardh Hoxha Hideki Okamoto Danil Prokhorov 42 2 0 10 Apr 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
Driving Everywhere with Large Language Model Policy Adaptation Boyi Li Yue Wang Jiageng Mao Boris Ivanovic Sushant Veer Karen Leung Marco Pavone 40 30 0 08 Feb 2024
A Middle Way to Traffic Enlightenment M. Nice George Gunter Junyi Ji Yuhang Zhang Matt Bunting William Barbour Jonathan Sprinkle Dan Work 28 3 0 29 Jan 2024
Learning Performance-Oriented Control Barrier Functions Under Complex Safety Constraints and Limited Actuation Shaoru Chen Mahyar Fazlyab 50 7 0 11 Jan 2024
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors Sushant Veer Apoorva Sharma Marco Pavone 31 4 0 03 Jul 2023
EnergyShield: Provably-Safe Offloading of Neural Network Controllers for Energy Efficiency Mohanad Odema James Ferlez Goli Vaisi Yasser Shoukry M. A. Al Faruque 33 3 0 13 Feb 2023
Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles Sushant Veer Karen Leung Ryan K. Cosner Yuxiao Chen Peter Karkus Marco Pavone 32 12 0 06 Dec 2022
Model Predictive Robustness of Signal Temporal Logic Predicates Yuan-Chuen Lin Haoxuan Li Matthias Althoff AAML 11 11 0 16 Sep 2022
Semi-Supervised Imitation Learning with Mixed Qualities of Demonstrations for Autonomous Driving Gunmin Lee Wooseok Oh Seungyoung Shin Dohyeong Kim Jeongwoo Oh Jaeyeon Jeong Sungjoon Choi Songhwai Oh SSL 39 2 0 23 Sep 2021
Towards Defensive Autonomous Driving: Collecting and Probing Driving Demonstrations of Mixed Qualities Jeongwoo Oh Gunmin Lee Jeongeun Park Wooseok Oh Jaeseok Heo ... Do Hyung Kim B. Park Chang-Gun Lee Sungjoon Choi Songhwai Oh 17 3 0 16 Sep 2021
The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior Bassam Helou Aditya Dusi Anne-Sophie Collin N. Mehdipour Zhiliang Chen Cristhian G. Lizarazo C. Belta Tichakorn Wongpiromsarn R. D. Tebbens Oscar Beijbom 29 21 0 28 Jul 2021
Rule-based Evaluation and Optimal Control for Autonomous Driving Wei Xiao N. Mehdipour Anne-Sophie Collin A. Bin-Nun Emilio Frazzoli R. D. Tebbens C. Belta 18 3 0 15 Jul 2021
Plane and Sample: Maximizing Information about Autonomous Vehicle Performance using Submodular Optimization Anne-Sophie Collin A. Bin-Nun R. D. Tebbens 20 4 0 15 Jun 2021
Sufficient Conditions for Feasibility of Optimal Control Problems Using Control Barrier Functions Wei Xiao C. Belta Christos G. Cassandras 44 67 0 16 Nov 2020
Adaptive Control Barrier Functions for Safety-Critical Systems Filippo Ascolani C. Belta Christos G. Cassandras 49 12 0 11 Feb 2020