IEEJ Transactions on Industry Applications
Online ISSN : 1348-8163
Print ISSN : 0913-6339
ISSN-L : 0913-6339
Paper
Detection of Preceding Vehicles on the basis of the Shadow from Vehicle Front View Images
Hiroto SekiTakashi Izumi
Author information
JOURNALS RESTRICTED ACCESS

2016 Volume 136 Issue 1 Pages 9-16

Details
Abstract

The objective of this study is to reduce rear-end vehicle collisions caused by human errors. In order to achieve this objective, we studied a technique to detect preceding vehicles with image processing using a monocular in-vehicle camera and a computer. As an image characteristic for vehicle detection, we adopt the shadow under the vehicle. However, the detection of preceding vehicles using only the shadow has low reliability. In this paper, we propose a technique of identifying the region over the shadow as either vehicle or non-vehicle by machine learning. Experimental results show that the proposed method is more effective than the method using only the shadow.

Information related to the author
© 2016 by the Institute of Electrical Engineers of Japan
Previous article Next article
feedback
Top