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Multisensors-based pedestrian detection system

This paper presents a LIDAR and vision-based pedestrian detection system. 3D LIDAR data are segmented into clusters. The clusters are projected on the corresponding image to get regions of interests (ROIs). Color-based HOG features are used together with SVM classifiers to detect pedestrian from extracted ROIs. The main contributions of the paper are the use of (LIDAR data to get ROIs and color-based HOG features for classification of ROIs. The proposed method has been tested on multisensors data and the results provided are satisfactory.