Self-Supervised Optical Flow with Spiking Neural Networks and Event Based Cameras
Kenneth Chaney,Artemis Panagopoulou,Chankyu Lee,Kaushik Roy,Kostas Daniilidis,Kenneth Chaney,Artemis Panagopoulou,Chankyu Lee,Kaushik Roy,Kostas Daniilidis
Optical flow can be leveraged in robotic systems for obstacle detection where low latency solutions are critical in highly dynamic settings. While event-based cameras have changed the dominant paradigm of sending by encoding stimuli into spike trails, offering low bandwidth and latency, events are still processed with traditional convolutional networks in GPUs defeating, thus, the promise of effic...
