Task 010/011 - Application Drivers
|Event Date:||October 29, 2020|
|Time:||11:00am (ET) / 8:00am (PT)
|School or Program:||Electrical and Computer Engineering
Kendall Queen, University of Pennsylvania Visual Servoing with an Event Camera for Ground Vehicles
Abstract: Neuromorphic Event Cameras are asynchronous visual sensors that can detect changes in image intensity. Event cameras provide a number of benefits and advantages over traditional frame-based cameras. In this presentation, I will be discussing the operation and benefits of event cameras in comparison to traditional cameras. Next, I will be presenting some current event camera work, applications, and open problems. Then, I will present our work in event based control, using events solely for lane detection to contribute to the task of lane following. I will present our non-holonomic robotic car platform (Ryder) and discuss our proposed event-to-control pipeline’s modular structure to allow for new methodologies. In conclusion, I will briefly present some of the next steps and future directions of this work.
Bio: Kendall Queen is an Electrical & Systems Engineering PhD student at the University of Pennsylvania under the advisement of Kostas Daniilidis, PhD. He received his B.S. degree in Computer Engineering from the University of Maryland, Baltimore County (UMBC) as a Meyerhoff Scholar in 2016. He then earned his M.S. degree with a focus in Robotics from Penn. Kendall’s interests lie at the intersection of robotics and computer vision. Currently Kendall is investigating event cameras’ applications to robotic systems such as autonomous vehicles.