The Detection Fusion Algorithm of Intellectual Vehicles Based on Laser Radar in Traversable Areas

The safety traffic of intellectual vehicles is mainly carried out through environmental sensory perceptual system. This thesis uses the data collected by the vehicle-mounted laser radar and puts forward to a kind of improved straight-line feature pick-up algorithm SEF-LSM-BO. It experiments on the four kinds of algorithm using the same frame of laser radar data. It turns out that compared with SEF, LSM and SEF-LSM; SEF-LSM-BO can quickly and accurately detect and merge boundaries, mark surrounding obstacles and provide traversable areas.