Abstract: This dissertation addresses the problem of estimating the angular velocity of the event camera with robustness to a dynamic environment where moving objects exist. These vision-based navigation problems have been mainly dealt with in frame-based cameras. The traditional frame-based came...
Abstract: Event cameras are bio-inspired sensors that capture intensity changes of pixels individually, and generate asynchronous and independent ``events’’. Due to the fundamental difference from the conventional cameras, most research on event cameras builds a global event frame by...
Abstract: This paper proposes the object depth estimation in real-time, using only a monocular camera in an onboard computer with a low-cost GPU. Our algorithm estimates scene depth from a sparse feature-based visual odometry algorithm and detects/tracks objects’ bounding box by util...