본문 바로가기
[학술저널]

  • 학술저널

Kyeong Min Jeong(Inha University),  Byung Cheol Song(Inha University)

DOI : 10.5573/IEIESPC.2017.6.4.269

표지

북마크 0

리뷰 0

이용수 36

피인용수 0

초록

Automatic vehicle detection is a very important function for autonomous vehicles. Conventional vehicle detection approaches are based on visible-light images obtained from cameras mounted on a vehicle in the daytime. However, unlike daytime, a visible-light image is generally dark at night, and the contrast is low, which makes it difficult to recognize a vehicle. As a feature point that can be used even in the low light conditions of nighttime, the rear lamp is virtually unique. However, conventional rear lamp–based detection methods seldom cope with atypical lamps, such as LED lamps, or flashing turn signals. In this paper, we detect atypical lamps by blurring the lamp area with a low pass filter (LPF) to make out the lamp shape. We also propose to detect flickering of the turn signal lamp in a manner such that the lamp area is vertically projected, and the maximum difference of two paired lamps is examined. Experimental results show that the proposed algorithm has a higher F-measure value of 0.24 than the conventional lamp pairing–based detection methods, on average. In addition, the proposed algorithm shows a fast processing time of 6.4 ㎳ per frame, which verifies real-time performance of the proposed algorithm.

목차

Abstract
1. Introduction
2. The Proposed Algorithm
3. Experiment Results
4. Conclusions
References

리뷰(0)

도움이 되었어요.0

도움이 안되었어요.0

첫 리뷰를 남겨주세요.
DBpia에서 서비스 중인 논문에 한하여 피인용 수가 반영됩니다.
인용된 논문이 DBpia에서 서비스 중이라면, 아래 [참고문헌 신청]을 통해서 등록해보세요.
Insert title here
첫 번째 리뷰를 남겨주세요!
닫기

2020년 새학기
DBpia와 함께 '목표 달성'해보세요!

목표 달성하고 아이패드, LG gram 받자!

이벤트 바로가기