Obstacle Detecion by Evaluation of Optical Flow Fields from Image Sequences

The approach discussed in this contribution is an example for the interpretation of temporal variations in image sequences recorded by a translating camera. The encouraging results show how obstacles can be detected in image sequences taken from a translating camea by evaluation of optical flow vectors estimated with independently developed approaches. Further developments are necessary to extend the approach to more general motion and more complex environments.