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Pedestrian Detection and Tracking in an Urban Environment Using a Multilayer Laser Scanner

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5 Author(s)
Gidel, S. ; Lab. des Sci. et Mater. pour l''Electron., et d''Autom., Blaise Pascal Univ., Aubière, France ; Checchin, P. ; Blanc, C. ; Chateau, T.
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Pedestrians are the most vulnerable participants in urban traffic. The first step toward protecting pedestrians is to reliably detect them in a real-time framework. In this paper, a new approach is presented for pedestrian detection in urban traffic conditions using a multilayer laser sensor mounted onboard a vehicle. This sensor, which is placed on the front of a vehicle, collects information about the distance distributed according to four planes. Like a vehicle, a pedestrian constitutes, in the vehicle environment, an obstacle that must be detected, and located and then identified and tracked if necessary. To improve the robustness of pedestrian detection using a single laser sensor, a detection system based on the fusion of information located in the four laser planes is proposed. The method uses a nonparametric kernel-density-based estimation of pedestrian position of each laser plane. The resulting pedestrian estimations are then sent to a decentralized fusion according to the four planes. Temporal filtering of each object is finally achieved within a stochastic recursive Bayesian framework (particle filter), allowing a closer observation of pedestrian random movement dynamics. Many experimental results are given and validate the relevance of our pedestrian-detection algorithm with regard to a method using only a single-row laser-range scanner.

Published in:

Intelligent Transportation Systems, IEEE Transactions on  (Volume:11 ,  Issue: 3 )

Date of Publication:

Sept. 2010

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