Presented By: Michigan Institute for Computational Discovery and Engineering
MICDE Ph.D. Student Seminar: Xintao Yan
Xintao Yan, PhD candidate in Civil & Environmental Engineering and Scientific Computing
Topic: Simulating Naturalistic Driving Environment for Autonomous Vehicles
Simulation provides a controllable, efficient, and low-cost venue for both developing and testing autonomous vehicles (AV). But for simulation to be an effective tool, statistical realism of the simulated driving environment is a must. In this talk, we will introduce methods to simulate naturalistic driving environment for AV testing purposes.
Simulation provides a controllable, efficient, and low-cost venue for both developing and testing autonomous vehicles (AV). But for simulation to be an effective tool, statistical realism of the simulated driving environment is a must. In this talk, we will introduce methods to simulate naturalistic driving environment for AV testing purposes.
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Livestream Information
ZoomMarch 16, 2023 (Thursday) 4:30pm
Meeting ID: 97711175222
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