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2014 | OriginalPaper | Chapter

Obstacle Detection for On-Road Vehicle Based on Range and Visual Information Fusion

Author : Lipu Zhou

Published in: Foundations and Practical Applications of Cognitive Systems and Information Processing

Publisher: Springer Berlin Heidelberg

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Abstract

Obstacle detection is very important for Advanced Driving Assistance Systems (ADAS) and Unmanned Ground Vehicles (UGV) in on-road scene. The motion of vehicles is restricted by a pair of lane markings. This constraint makes obstacle detection in the on-road scene difference to the one in other robot application. Objects between lane markings are the most emergent obstacles and should be taken more attention. In this paper, we present an effective and efficient method to fuse lane marking information obtained from camera with LIDAR data to discriminate obstacles as within lane markings and outside lane markings.

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previous chapter Improved ICP Algorithm with Bounded Rotation Angle for 2D Point Set Registration
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Metadata
Title
Obstacle Detection for On-Road Vehicle Based on Range and Visual Information Fusion
Author
Lipu Zhou
Copyright Year
2014
Publisher
Springer Berlin Heidelberg
Book
Foundations and Practical Applications of Cognitive Systems and Information Processing

Print ISBN: 978-3-642-37834-8

Electronic ISBN: 978-3-642-37835-5

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-642-37835-5_46

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