Sensor Fusion Based Obstacle Detection/Classification for Active Pedestrian Protection System

This paper proposes a sensor fusion based obstacle detection/classification system for active pedestrian protection system. At the front-end of vehicle, one laser scanner and one camera is installed. Clustering and tracking of range data from laser scanner generate obstacle candidates. Vision system...

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Bibliographic Details
Published inAdvances in Visual Computing pp. 294 - 305
Main Authors Jung, Ho Gi, Lee, Yun Hee, Yoon, Pal Joo, Hwang, In Yong, Kim, Jaihie
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2006
SeriesLecture Notes in Computer Science
Subjects
Correct Classification Rate
Gabor Filter
Intelligent Transportation System
Support Vector Machine
Vehicle Detection
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Summary:This paper proposes a sensor fusion based obstacle detection/classification system for active pedestrian protection system. At the front-end of vehicle, one laser scanner and one camera is installed. Clustering and tracking of range data from laser scanner generate obstacle candidates. Vision system classifies the candidates into three categories: pedestrian, vehicle, and other. Gabor filter bank extracts the feature vector of candidate image. The obstacle classification is implemented by combining two classifiers with the same architecture: support vector machine for pedestrian and vehicle. Obstacle detection system recognizing the class can actively protect pedestrian while reducing false positive rate.
ISBN:3540486267
9783540486268
ISSN:0302-9743
1611-3349
DOI:10.1007/11919629_31