A Blind Spot Detection Warning System based on Gabor Filtering and Optical Flow for E-mirror Applications

Shun Min Chang, Chia Chi Tsai, Jiun In Guo

研究成果: Conference contribution

5 引文 斯高帕斯(Scopus)

摘要

Blind Spot Detection (BSD) is an important technique for ADAS. We propose a BSD algorithm using Gabor filtering and optical flow to detect vehicles in the blind spot region for both day-time and night-time applications. For the day-time scene, the Gabor filtering is used to detect the vehicles, inside lane line, and outside lane line. After detection, the optical flow information calculated according to Horn-Schunck method is used to judge the motion of the vehicle candidates and filter the mistake-judgement. For the night-time scene, we try to find the head-light of the approaching cars. First, we perform binarization on the image first, find the center of gravity of the light-area, classify the light-area into 2 groups and judge it as a vehicle or not. The proposed BSD system achieves 93.58% recall and 95.83% precision in day time scene and 90.22% recall and 92.76% precision in night time scene. The algorithm can achieve performance of 89 fps on Intel Core I7 and 50 fps on Renesas R-Car M2 under 640×480 resolution.

原文English
主出版物標題2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781538648810
DOIs
出版狀態Published - 2018 4月 26
事件2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Florence, Italy
持續時間: 2018 5月 272018 5月 30

出版系列

名字Proceedings - IEEE International Symposium on Circuits and Systems
2018-May
ISSN(列印)0271-4310

Other

Other2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018
國家/地區Italy
城市Florence
期間18-05-2718-05-30

All Science Journal Classification (ASJC) codes

  • 電氣與電子工程

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