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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538648810
DOIs
StatePublished - 26 Apr 2018
Event2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Florence, Italy
Duration: 27 May 201830 May 2018

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2018-May
ISSN (Print)0271-4310

Conference

Conference2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018
CountryItaly
CityFlorence
Period27/05/1830/05/18

Fingerprint Dive into the research topics of 'A Blind Spot Detection Warning System based on Gabor Filtering and Optical Flow for E-mirror Applications'. Together they form a unique fingerprint.

Cite this