Vehicle Detection Using Fusion of LIDAR and Video

Ming Fang Zhang; Chen Wu; Yuan Xin Xu

doi:10.4028/www.scientific.net/AMR.1030-1032.1868

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1030-1032Vehicle Detection Using Fusion of LIDAR and Video

Vehicle Detection Using Fusion of LIDAR and Video

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.

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Periodical:

Advanced Materials Research (Volumes 1030-1032)

Pages:

1868-1872

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1030-1032.1868

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Online since:

September 2014

Authors:

Ming Fang Zhang*, Chen Wu, Yuan Xin Xu

Keywords:

Hausdorff Distance, LiDAR, Vehicle Detection, Video

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* - Corresponding Author

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