Learning Autonomous Vehicle Safety Concepts from Demonstrations

6 October 2022

Papers citing "Learning Autonomous Vehicle Safety Concepts from Demonstrations"

20 / 20 papers shown

Title
Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation Sever Topan Karen Leung Yuxiao Chen Pritish Tupekar Edward Schmerling Jonas Nilsson Michael Cox Marco Pavone 70 20 0 24 Jun 2022
Driving in Real Life with Inverse Reinforcement Learning Tung Phan-Minh Forbes Howington Ting-Sheng Chu Sang Uk Lee Momchil S. Tomov ... Fráncisco Suarez-Ruiz Robert E. Beaudoin Bo Yang Sammy Omari Eric M. Wolff OffRL 110 28 0 07 Jun 2022
MTBF Model for AVs -- From Perception Errors to Vehicle-Level Failures Fabian Oboril Cornelius Bürkle Alon Sussmann Simcha Bitton Simone Fabris 37 8 0 05 May 2022
Adaptive Safe Merging Control for Heterogeneous Autonomous Vehicles using Parametric Control Barrier Functions Yiwei Lyu Wenhao Luo John M. Dolan 26 18 0 20 Feb 2022
Convex-Concave Min-Max Stackelberg Games Denizalp Goktas Amy Greenwald 33 30 0 05 Oct 2021
Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models Ran Tian Liting Sun Andrea V. Bajcsy Masayoshi Tomizuka Anca Dragan 89 55 0 29 Sep 2021
Learning Robust Hybrid Control Barrier Functions for Uncertain Systems Alexander Robey Lars Lindemann Stephen Tu Nikolai Matni 51 39 0 16 Jan 2021
Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates Zengyi Qin Kai Zhang Yuxiao Chen Jingkai Chen Chuchu Fan 48 133 0 14 Jan 2021
On Infusing Reachability-Based Safety Assurance within Planning Frameworks for Human-Robot Vehicle Interactions Karen Leung Edward Schmerling Mengxuan Zhang Mo Chen J. Talbot Chris Gerdes Marco Pavone LLMSV 62 90 0 06 Dec 2020
DeepReach: A Deep Learning Approach to High-Dimensional Reachability Somil Bansal Claire Tomlin 83 156 0 04 Nov 2020
Infusing Reachability-Based Safety into Planning and Control for Multi-agent Interactions Xinrui Wang Karen Leung Marco Pavone 18 18 0 31 Jul 2020
Learning Control Barrier Functions from Expert Demonstrations Alexander Robey Haimin Hu Lars Lindemann Hanwen Zhang Dimos V. Dimarogonas Stephen Tu Nikolai Matni 80 207 0 07 Apr 2020
Reachable Sets for Safe, Real-Time Manipulator Trajectory Design P. Holmes Shreyas Kousik Bohao Zhang Daphna Raz Corina Barbalata Matthew Johnson-Roberson Ram Vasudevan 65 36 0 05 Feb 2020
Counter-example Guided Learning of Bounds on Environment Behavior Yuxiao Chen Sumanth Dathathri Tung Phan-Minh R. Murray OffRL 23 7 0 20 Jan 2020
Unconstrained Monotonic Neural Networks Antoine Wehenkel Gilles Louppe TPM 168 147 0 14 Aug 2019
Human Motion Trajectory Prediction: A Survey Andrey Rudenko Luigi Palmieri Michael Herman Kris Kitani D. Gavrila Kai O. Arras 84 731 0 15 May 2019
Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies Lucas Janson Tommy Hu Marco Pavone 42 41 0 16 Apr 2018
Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction Edward Schmerling Karen Leung Wolf Vollprecht Marco Pavone 80 173 0 25 Oct 2017
On a Formal Model of Safe and Scalable Self-driving Cars Shai Shalev-Shwartz Shaked Shammah Amnon Shashua 46 739 0 21 Aug 2017
Continuous Inverse Optimal Control with Locally Optimal Examples Sergey Levine V. Koltun OffRL 71 328 0 18 Jun 2012