Forward Vehicle Collision Warning Based on Quick Camera Calibration

Yuwei Lu, Yuan Yuan, Qi Wang

科研成果: 书/报告/会议事项章节会议稿件同行评审

8 引用 (Scopus)

摘要

Forward Vehicle Collision Warning (FCW) is one of the most important functions for autonomous vehicles. In this procedure, vehicle detection and distance measurement are core components, requiring accurate localization and estimation. In this paper, we propose a simple but efficient forward vehicle collision warning framework by aggregating monocular distance measurement and precise vehicle detection. In order to obtain forward vehicle distance, a quick camera calibration method which only needs three physical points to calibrate related camera parameters is utilized. As for the forward vehicle detection, a multi-scale detection algorithm that regards the result of calibration as distance priori is proposed to improve the precision. Intensive experiments are conducted in our established real scene dataset and the results have demonstrated the effectiveness of the proposed framework.

源语言英语
主期刊名2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
2586-2590
页数5
ISBN(印刷版)9781538646588
DOI
出版状态已出版 - 10 9月 2018
活动2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Calgary, 加拿大
期限: 15 4月 201820 4月 2018

出版系列

姓名ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
2018-April
ISSN(印刷版)1520-6149

会议

会议2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018
国家/地区加拿大
Calgary
时期15/04/1820/04/18

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