Abstract
In this paper, we present an approach of extracting high-integrity feature points in stereo images for calculating visual odometry for outdoor robots equipped with an inexpensive stereo camera. The robot pose is estimated by bundle adjustment approach. Bundle adjustment helps to reduce the error significantly. As a result, it is shown that successful extracting high-integrity feature points was done.
