  In this work we present a method for performance evaluation of stereo vision
based obstacle detection techniques that takes into account the specifics of
road situation analysis to minimize the effort required to prepare a test
dataset. This approach has been designed to be implemented in systems such as
self-driving cars or driver assistance and can also be used as problem-oriented
quality criterion for evaluation of stereo vision algorithms.
