A low-cost embedded platform for car's surrounding vision system

摘要

The design and the implementation of a flexible and low-cost embedded system for car's surrounding vision is presented. The target of the proposed multi-camera vision system is to provide the driver a better view of the objects that surround the vehicle during maneuvering. Fish-eye lenses are used to achieve a larger field of view (FOV) but, on the other hand, introduce radial distortion of the images projected on the sensors. Using low-cost cameras there could be also some alignment issues. Since these complications are noticeable and dangerous, a real-time algorithm for their correction and for the merging of 4 cameras video showed in a single view is presented.