How can autonomous vehicles be made safer?
Autonomous vehicles have made tremendous leaps in recent years. Professor Ding Zhao and the Safe AI Lab is making sure each leap keeps vehicles safe and controlled. Machine learning-based approaches for perception and coordination allow vehicles to perform well under the conditions they trained under but they leave significant gray area for new conditions. This ambiguity can lead to dangerous behavior which is what the Safe AI Lab investigates.
In this talk, scholars were introduced to some of the challenges in coordinating connected autonomous vehicles as well as some of the ways researchers have created more robust methods for evaluating vehicle behavior. Professor Zhao also shared pathways to a career in robotics and how his lab selects PhD students.
More about Professor Ding Zhao
https://www.meche.engineering.cmu.edu/directory/bios/zhao-ding.html
http://www.andrew.cmu.edu/user/dingzhao/