Visual Odometry Using Commodity Optical Flow

Jason Campbell, Rahul Sukthankar, and Illah Nourbakhsh

A wide variety of techniques for visual navigation using robot-mounted cameras have been described over the past several decades, yet adoption of optical flow navigation techniques has been slow. This demo illustrates what visual navigation has to offer: robust hazard detection (including precipices and obstacles), high-accuracy open-loop odometry, and stable closed-loop motion control implemented via an optical flow based visual odometry system. This work is based on (1) open source vision code, (2) common computing hardware, and (3) inexpensive, consumer-quality cameras, and as such should be accessible to many robot builders.


This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.