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Umit Ozguner

Using Collision Momentum in Deep Reinforcement Learning Based Adversarial Pedestrian Modeling

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Jun 13, 2023
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A Finite-Sampling, Operational Domain Specific, and Provably Unbiased Connected and Automated Vehicle Safety Metric

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Nov 15, 2021
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A Formal Characterization of Black-Box System Safety Performance with Scenario Sampling

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Oct 05, 2021
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Pedestrian Emergence Estimation and Occlusion-Aware Risk Assessment for Urban Autonomous Driving

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Jul 06, 2021
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Towards Guaranteed Safety Assurance of Automated Driving Systems with Scenario Sampling: An Invariant Set Perspective (Extended Version)

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Apr 23, 2021
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A Modeled Approach for Online Adversarial Test of Operational Vehicle Safety

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Sep 28, 2020
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An online evolving framework for advancing reinforcement-learning based automated vehicle control

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Jun 16, 2020
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Optical Flow based Visual Potential Field for Autonomous Driving

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May 30, 2020
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A Multi-State Social Force Based Framework for Vehicle-Pedestrian Interaction in Uncontrolled Pedestrian Crossing Scenarios

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May 15, 2020
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Integrating Deep Reinforcement Learning with Model-based Path Planners for Automated Driving

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Feb 02, 2020
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