Xintao Yan and Haojie Zhu, both civil engineering PhD students, prepare to take one of the autonomous vehicles for a test run at Mcity. Photo: Brenda Ahearn/Michigan Engineering
In this episode, we delve into a game-changing approach developed by the University of Michigan, where 'simulated terrible drivers' in a mixed reality environment are used to drastically cut the time and cost of Autonomous Vehicle (AV) safety testing. Discover how this innovative method enhances testing by focusing on rare but critical driving events, potentially accelerating the deployment and public acceptance of self-driving cars.
This podcast is sponsored by Mouser Electronics.
This episode was brought to you by Mouser, our favorite place to get electronics parts for any project, whether it be a hobby at home or a prototype for work. Click HERE to learn about how electronics suppliers are planning to meet the technical and regulatory requirements to make autonomous vehicles possible!
As always, you can find these and other interesting & impactful engineering articles on Wevolver.com.
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