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As self-driving systems become better, simulating scenarios where the autonomy stack may fail becomes more important.
Alvinn: An autonomous land vehicle in a neural network
Dean A Pomerleau · 1989
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Genetic algorithms: concepts and applications [in engineering design]
Kim-Fung Man, Wallace Kit-Sang Tang, and Sam Kwong · 1996
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Curriculum learning
Yoshua Bengio, Jérôme Louradour, Ronan Collobert, and Jason Weston · 2009
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Gaussian process optimization in the bandit setting: No regret and experimental design
Niranjan Srinivas, Andreas Krause, Sham M. Kakade, and Matthias W. Seeger · 2010
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Optimal trajectory generation for dynamic street scenarios in a frenét frame
Moritz Werling, Julius Ziegler, Sören Kammel, and Sebastian Thrun · 2010
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Trajectory planning for bertha - A local, continuous method
Julius Ziegler, Philipp Bender, Thao Dang, and Christoph Stiller · 2014
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End to end learning for self-driving cars
Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski, Bernhard Firner, Beat Flepp, Prasoon Goyal, Lawrence D Jackel, Mathew Monfort, Urs Muller, Jiakai Zhang, et al · 2016
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Tom B. Brown, Dandelion Mané, Aurko Roy, Martín Abadi, and Justin Gilmer · 2017
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CARLA: an open urban driving simulator
Alexey Dosovitskiy, Germán Ros, Felipe Codevilla, Antonio M. López, and Vladlen Koltun · 2017
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The kinematic bicycle model: A consistent model for planning feasible trajectories for autonomous vehicles?
Philip Polack, Florent Altché, Brigitte d’Andréa-Novel, and Arnaud de La Fortelle · 2017
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Synthesizing robust adversarial examples
Anish Athalye, Logan Engstrom, Andrew Ilyas, and Kevin Kwok · 2018
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Intentnet: Learning to predict intention from raw sensor data
Sergio Casas, Wenjie Luo, and Raquel Urtasun · 2018
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End-to-end driving via conditional imitation learning
Felipe Codevilla, Matthias Miiller, Antonio López, Vladlen Koltun, and Alexey Dosovitskiy · 2018
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Robust physical-world attacks on deep learning visual classification
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno, and Dawn Song · 2018
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Black-box adversarial attacks with limited queries and information
Andrew Ilyas, Logan Engstrom, Anish Athalye, and Jessy Lin · 2018
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Alex Kendall, Jeffrey Hawke, David Janz, Przemyslaw Mazur, Daniele Reda, John-Mark Allen, Vinh-Dieu Lam, Alex Bewley, and Amar Shah · 2018
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Fast and furious: Real time end-to-end 3d detection, tracking and motion forecasting with a single convolutional net
Wenjie Luo, Bin Yang, and Raquel Urtasun · 2018
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Waymo built a secret world for self-driving cars, 2018
Alexis C. Madrigal · 2018
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Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2018
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Driving policy transfer via modularity and abstraction
Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem, and Vladen Koltun · 2018
Cited alongside, same era.
Scalable end-to-end autonomous vehicle testing via rare-event simulation
Matthew O’Kelly, Aman Sinha, Hongseok Namkoong, Russ Tedrake, and John C Duchi · 2018
Cited alongside, same era.
Generating adversarial driving scenarios in high-fidelity simulators
Yasasa Abeysirigoonawardena, Florian Shkurti, and Gregory Dudek · 2019
Cited alongside, same era.
Genattack: practical black-box attacks with gradient-free optimization
Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty, Huan Zhang, Cho-Jui Hsieh, and Mani B. Srivastava · 2019
Cited alongside, same era.
Learning to drive from simulation without real world labels
Alex Bewley, Jessica Rigley, Yuxuan Liu, Jeffrey Hawke, Richard Shen, Vinh-Dieu Lam, and Alex Kendall · 2019
Cited alongside, same era.
Adversarial attacks beyond the image space
Xiaohui Zeng, Chenxi Liu, Yu-Siang Wang, Weichao Qiu, Lingxi Xie, Yu-Wing Tai, Chi-Keung Tang, and Alan L. Yuille · 2019
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CAMOU: Learning physical vehicle camouflages to adversarially attack detectors in the wild
Yang Zhang, Hassan Foroosh, Philip David, and Boqing Gong · 2019
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Square attack: A query-efficient black-box adversarial attack via random search
Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion, and Matthias Hein · 2020
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Adversarial evaluation of autonomous vehicles in lane-change scenarios
Baiming Chen and Liang Li · 2020
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Multimodal safety-critical scenarios generation for decision-making algorithms evaluation, 2020
Wenhao Ding, Baiming Chen, Bo Li, Kim Ji Eun, and Ding Zhao · 2020
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Adversarial sensor attack on lidar-based perception in autonomous driving
Yulong Cao, Chaowei Xiao, Benjamin Cyr, Yimeng Zhou, Won Park, Sara Rampazzi, Qi Alfred Chen, Kevin Fu, and Z. Morley Mao · 2019
Cited alongside, same era.
Adversarial objects against lidar-based autonomous driving systems
Yulong Cao, Chaowei Xiao, Dawei Yang, Jing Fang, Ruigang Yang, Mingyan Liu, and Bo Li · 2019
Cited alongside, same era.
Simple black-box adversarial attacks
Chuan Guo, Jacob R. Gardner, Yurong You, Andrew Gordon Wilson, and Kilian Q. Weinberger · 2019
Cited alongside, same era.
Prior convictions: Black-box adversarial attacks with bandits and priors
Andrew Ilyas, Logan Engstrom, and Aleksander Madry · 2019
Cited alongside, same era.
Generating critical test scenarios for automated vehicles with evolutionary algorithms
Moritz Klischat and Matthias Althoff · 2019
Cited alongside, same era.
Computationally efficient safety falsification of adaptive cruise control systems
Markus Koschi, Christian Pek, Sebastian Maierhofer, and Matthias Althoff · 2019
Cited alongside, same era.
Beyond pixel norm-balls: Parametric adversaries using an analytically differentiable renderer
Hsueh-Ti Derek Liu, Michael Tao, Chun-Liang Li, Derek Nowrouzezahrai, and Alec Jacobson · 2019
Cited alongside, same era.
Wenhao Ding, Minjun Xu, and Ding Zhao · 2020
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Urban driving with conditional imitation learning
Jeffrey Hawke, Richard Shen, Corina Gurau, Siddharth Sharma, Daniele Reda, Nikolay Nikolov, Przemyslaw Mazur, Sean Micklethwaite, Nicolas Griffiths, Amar Shah, and Alex Kendall · 2020
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Lidarsim: Realistic lidar simulation by leveraging the real world
Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, and Raquel Urtasun · 2020
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Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d
Jonah Philion and Sanja Fidler · 2020
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Luis Alberto Rosero, Iago Pacheco Gomes, Júnior Anderson Rodrigues da Silva, Tiago Cesar dos Santos, Angelica Tiemi Mizuno Nakamura, Jean Amaro, Denis Fernando Wolf, and Fernando Santos Osório · 2020
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Bayesopt adversarial attack
Binxin Ru, Adam D. Cobb, Arno Blaas, and Yarin Gal · 2020
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Perceive, predict, and plan: Safe motion planning through interpretable semantic representations
Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, and Raquel Urtasun · 2020
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Robust behavioral cloning for autonomous vehicles using end-to-end imitation learning
Tanmay Vilas Samak, Chinmay Vilas Samak, and Sivanathan Kandhasamy · 2020
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Neural bridge sampling for evaluating safety-critical autonomous systems, 2020
Aman Sinha, Matthew O’Kelly, John Duchi, and Russ Tedrake · 2020
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Towards robust lidar-based perception in autonomous driving: General black-box adversarial sensor attack and countermeasures
Jiachen Sun, Yulong Cao, Qi Alfred Chen, and Z. Morley Mao · 2020
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Physically realizable adversarial examples for lidar object detection
James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, and Raquel Urtasun · 2020
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Physical adversarial attack on vehicle detector in the carla simulator
Tong Wu, Xuefei Ning, Wenshuo Li, Ranran Huang, Huazhong Yang, and Yu Wang · 2020
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Dsdnet: Deep structured self-driving network
Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, and Raquel Urtasun · 2020
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