Autonomous Vehicles: From Visual Perception to the Final Autonomous Stack
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Autonomous Vehicles: From Visual Perception to the Final Autonomous StackRegister for Courses
March 5, 2021 @ 10:00 am - 11:30 am
Join us for an exciting class as we learn about autonomous, or self-driving, vehicles. We’ll look at a brief history of autonomous vehicles and then explore some of the technologies that are needed for perception, planning, and obstacle avoidance. We will consider the benefits of assistive driving and vehicles specialized for delivery and road cleaning. We will note how comfort and safety concerns are issues in their construction.
Instructor: Dr. Shu Kong – Dr. Shu Kong is a postdoctoral researcher at the Robotics Institute at Carnegie Mellon University. He obtained a Ph.D. in computer science at University of California at Irvine in 2019. His research is motivated by a desire to create intelligent systems that benefit human life through computer vision and machine learning. His current focus is on visual perception and learning in the real open-world. His research of visual perception has been applied to autonomous driving. He also actively applies his algorithms to interdisciplinary research such as building vision-aided high-throughput systems that study ecology on pollen grains, and the study of health and aging with nematodes.