Dwell-angle-independent tracking and monitoring objects using lidar

Abstract

A remote tracking system such as a LIDAR system may track objects such as human faces. In such objects there is a natural axis of symmetry that is seen to be substantially normal to the orientation of the object. Nevertheless, because the object is typically in motion, one cannot expect that beams incident on the object to be normal to the object consistently. Rather, the beams tend to dwell on the object at some skew angle. In a typical case, the detected beam pattern from a given portion of the object is dependent on this dwell angle. In conventional remote tracking systems, it may be difficult to identify the portion of the object efficiently through all of the possible beam patterns due to variation of the dwell angle. It is an objective of improved techniques described herein to efficiently monitor and track an object regardless of the dwell angle.