Front object recognition system for vehicles based on sensor fusion using stereo vision and laser range finder

Jau Woei Perng, Pei Yu Liu, Kai Quan Zhong, Ya Wen Hsu

研究成果: Conference contribution同行評審

4 引文 斯高帕斯(Scopus)

摘要

This paper proposes a front object recognition system for the safety of driving, which is based on sensor fusion with laser range finder and stereo vision. The study utilizes a stereo vision system for objects detection. Since the calculation time of the stereo vision algorithm is too long, in order to detect objects immediately, a laser range finder is integrated to improve the calculation time and detection accuracy. On the completion of the detection stage, the support vector machine is used to recognize the objects. The experimental results show that the objects detection system yields an accuracy rate of 95%.

原文English
主出版物標題2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
發行者Institute of Electrical and Electronics Engineers Inc.
頁面261-262
頁數2
ISBN(電子)9781509040179
DOIs
出版狀態Published - 25 7月 2017
事件4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017 - Taipei, 美國
持續時間: 12 6月 201714 6月 2017

出版系列

名字2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017

Conference

Conference4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
國家/地區美國
城市Taipei
期間12/06/1714/06/17

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