Autonomous driving Test

Driving intelligence tests are critical to the development and deployment of autonomous vehicles. The prevailing approach tests autonomous vehicles in life-like simulations of the naturalistic driving environment. However, due to the high dimensionality of the environment and the rareness of safety-critical events, hundreds of millions of miles would be required to demonstrate the safety performance of autonomous vehicles, which is severely inefficient.

We established a multi-dimensional evaluation system for autonomous parking scenarios in the park. Besides we carried out practical inspection and screening of test cases according to relevant standards, and established a complete set of intelligent driving vehicle test evaluation system and test specifications from aspects such as basic driving standards, driving safety, and driving comfort. On the basis of the virtual simulation platform test, combined with the actual vehicle test, verification and improvement are carried out.

Wang Lin
Wang Lin
Professor of Department of Automation

My research interests include Multi-agent Systems analysis and control.