Visual Odometry with Neuromorphic Resonator Networks

arXiv:2209.02000v3 Announce Type: replace-cross
Abstract: Visual Odometry (VO) is a method to estimate self-motion of a mobile robot using visual sensors. Unlike odometry based on integrating differential measurements that can accumulate errors, such as inertial sensors or wheel encoders, visual odometry is not compromised by drift. However, image-based VO is computationally demanding, limiting its application in use cases with low-latency, -memory, and -energy requirements. Neuromorphic hardware offers low-power solutions to many vision and AI problems, but designing such solutions is …

abstract arxiv cs.ai cs.cv cs.ne cs.ro differential drift errors however image mobile networks neuromorphic replace robot sensors type visual