Visual Odometry with Neuromorphic Resonator Networks

Understand

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 complicated and often has to be assembled from scratch.