Automatic feature extraction in laser rangefinder data using geometric invariance

This paper presents a feature extraction method in scanning laser rangefinder data. Whereas many popular methods use Cartesian coordinates to detect features, the proposed method use a geometric invariant in natural (polar) coordinates. It leads to a membership condition that only depends on the sensor properties (angular resolution and range measurement error).