Lateral driving assistance using optical flow and scene analysis

Kai-Tai Song*, Hung Yi Chen

*Corresponding author for this work

研究成果: Conference contribution同行評審

13 引文 斯高帕斯(Scopus)

摘要

This paper presents a novel algorithm of image-based motion detection for lateral driving assistance. We propose a feature-based motion detection algorithm, which combines optical-flow estimation and road plane segmentation using FOE concept. The developed algorithm can segment moving objects from a changing background efficiently. Both cars and motorcycles on the lateral side of a driving vehicle can be detected. We have realized the system in a stand-alone image processing platform, which can operate independently on a vehicle using a CMOS image sensor and embedded processor. Experimental results show that the proposed methods are effective to segment moving vehicles from a moving background for lateral safety assistance.

原文English
主出版物標題Proceedings of the 2007 IEEE Intelligent Vehicles Symposium, IV 2007
頁面624-629
頁數6
DOIs
出版狀態Published - 1 十二月 2007
事件2007 IEEE Intelligent Vehicles Symposium, IV 2007 - Istanbul, Turkey
持續時間: 13 六月 200715 六月 2007

出版系列

名字IEEE Intelligent Vehicles Symposium, Proceedings

Conference

Conference2007 IEEE Intelligent Vehicles Symposium, IV 2007
國家Turkey
城市Istanbul
期間13/06/0715/06/07

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