Abstract
Vehicle detection is an essential task of environment perception. We proposed a vehicle detection method using the fusion of LIDAR and video for current traffic conditions. First, joint calibration of LIDAR and camera are introduced, the target area obtained by clustering of laser scanning data is projected into the image to get the region of interest (ROI). According to the analysis of vehicle symmetry, vertical edge statistics and template matching based on Hausdorff distance, the transitable area is distinguished. Vehicle detection algorithm is implemented in the united simulation condition of PreScan and Matlab/Simulink. Detection results show that the detection algorithm is robust and reliable.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
