Efficient Black-box Assessment of Autonomous Vehicle Safety

8 December 2019

Papers citing "Efficient Black-box Assessment of Autonomous Vehicle Safety"

28 / 28 papers shown

Title
Formal Verification and Control with Conformal Prediction Lars Lindemann Yiqi Zhao Xinyi Yu George J. Pappas Jyotirmoy Deshmukh 695 17 0 31 Aug 2024
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings Nicholas Rhinehart R. McAllister Kris Kitani Sergey Levine 63 373 0 03 May 2019
Exploring the Limitations of Behavior Cloning for Autonomous Driving Felipe Codevilla Eder Santana Antonio M. López Adrien Gaidon 51 543 0 18 Apr 2019
VERIFAI: A Toolkit for the Design and Analysis of Artificial Intelligence-Based Systems T. Dreossi Daniel J. Fremont Shromona Ghosh Edward J. Kim H. Ravanbakhsh Marcell Vazquez-Chanlatte Sanjit A. Seshia 45 29 0 12 Feb 2019
Adaptive Stress Testing for Autonomous Vehicles Mark Koren Saud Alsaif Ritchie Lee Mykel J. Kochenderfer 45 195 0 05 Feb 2019
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst Mayank Bansal A. Krizhevsky A. Ogale OOD 86 739 0 07 Dec 2018
A Statistical Approach to Assessing Neural Network Robustness Stefan Webb Tom Rainforth Yee Whye Teh M. P. Kumar AAML 58 83 0 17 Nov 2018
Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning Ritchie Lee Ole J. Mengshoel Nannan Li Shan Liu Daniel Genin Thomas H. Li Michael Owen Ge Li 31 10 0 06 Nov 2018
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation Matthew O'Kelly Aman Sinha Hongseok Namkoong John C. Duchi Russ Tedrake 79 217 0 31 Oct 2018
Deep Imitative Models for Flexible Inference, Planning, and Control Nicholas Rhinehart R. McAllister Sergey Levine 68 148 0 15 Oct 2018
AI Benchmark: Running Deep Neural Networks on Android Smartphones Andrey D. Ignatov Radu Timofte William Chou Ke Wang Max Wu Tim Hartley Luc Van Gool ELM 70 323 0 02 Oct 2018
FuzzerGym: A Competitive Framework for Fuzzing and Learning W. Drozd Michael D. Wagner 52 32 0 19 Jul 2018
Evaluating Robustness of Neural Networks with Mixed Integer Programming Vincent Tjeng Kai Y. Xiao Russ Tedrake AAML 77 117 0 20 Nov 2017
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 135 5,173 0 10 Nov 2017
Certifying Some Distributional Robustness with Principled Adversarial Training Aman Sinha Hongseok Namkoong Riccardo Volpi John C. Duchi OOD 125 863 0 29 Oct 2017
Burn-In Demonstrations for Multi-Modal Imitation Learning Alex Kuefler Mykel J. Kochenderfer 53 25 0 13 Oct 2017
End-to-end Driving via Conditional Imitation Learning Felipe Codevilla Matthias Muller Antonio M. López V. Koltun Alexey Dosovitskiy 128 1,066 0 06 Oct 2017
On a Formal Model of Safe and Scalable Self-driving Cars Shai Shalev-Shwartz Shaked Shammah Amnon Shashua 48 740 0 21 Aug 2017
Spectrally-normalized margin bounds for neural networks Peter L. Bartlett Dylan J. Foster Matus Telgarsky ODL 202 1,220 0 26 Jun 2017
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 210 1,354 0 19 May 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 318 1,868 0 03 Feb 2017
Imitating Driver Behavior with Generative Adversarial Networks Alex Kuefler Jeremy Morton T. Wheeler Mykel Kochenderfer GAN 73 407 0 24 Jan 2017
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 137 1,820 0 15 Jun 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 140 3,115 0 10 Jun 2016
On the Expressive Power of Deep Learning: A Tensor Analysis Nadav Cohen Or Sharir Amnon Shashua 81 471 0 16 Sep 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 313 4,182 0 21 May 2015
Provable Bounds for Learning Some Deep Representations Sanjeev Arora Aditya Bhaskara Rong Ge Tengyu Ma BDL 94 335 0 23 Oct 2013
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 222 3,221 0 02 Nov 2010