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Deep Probabilistic Accelerated Evaluation: A Certifiable Rare-Event Simulation Methodology for Black-Box Autonomy


Jul 01, 2020
Mansur Arief, Zhiyuan Huang, Guru Koushik Senthil Kumar, Yuanlu Bai, Shengyi He, Wenhao Ding, Henry Lam, Ding Zhao


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How to Evaluate Proving Grounds for Self-Driving? A Quantitative Approach


Sep 24, 2019
Rui Chen, Mansur Arief, Weiyang Zhang, Ding Zhao


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How to Evaluate Self-Driving Testing Ground? A Quantitative Approach


Sep 20, 2019
Rui Chen, Mansur Arief, Weiyang Zhang, Ding Zhao


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Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field


Jun 25, 2019
Yaohui Guo, Vinay Varma Kalidindi, Mansur Arief, Wenshuo Wang, Jiacheng Zhu, Huei Peng, Ding Zhao


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Assessing Modeling Variability in Autonomous Vehicle Accelerated Evaluation


Apr 19, 2019
Zhiyuan Huang, Mansur Arief, Henry Lam, Ding Zhao


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Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach


Apr 07, 2019
Zuxin Liu, Mansur Arief, Ding Zhao

* 7 pages including the references, accepted by International Conference on Robotics and Automation (ICRA), 2019 

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An Accelerated Approach to Safely and Efficiently Test Pre-Production Autonomous Vehicles on Public Streets


Sep 09, 2018
Mansur Arief, Peter Glynn, Ding Zhao


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An "Xcity" Optimization Approach to Designing Proving Grounds for Connected and Autonomous Vehicles


Aug 09, 2018
Rui Chen, Mansur Arief, Ding Zhao


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