전조등의 시각적 특성을 이용한 야간 사각 지대 차량 검출 기법 = Night-Time Blind Spot Vehicle Detection Using Visual Property of Head-Lamp

다국어 초록 (Multilingual Abstract)

The blind spot is an area where drivers visibility does not reach. When drivers change a lane to adjacent lane, they need to give an attention because of the blind spot. If drivers try to change lane without notice of vehicle approaching in the blind spot, it causes a reason to have a car accident. This paper proposes a night-time blind spot vehicle detection using cameras. At nighttime, head-lights are used as characteristics to detect vehicles. Candidates of headlight are selected by high luminance feature and then shape filter and kalman filter are employed to remove other noisy blobs having similar luminance to head-lights. In addition, vehicle position is estimated from detected head-light, using virtual center line represented by approximated the first order linear equation. Experiments show that proposed method has relatively high detection porformance in clear weather independent to the road types, but has not sufficient performance in rainy weather because of various ground reflectors.

참고문헌 (Reference)

1 김현구, "적응형 헤드 램프 컨트롤을 위한 야간 차량 인식" 대한임베디드공학회 6 (6): 8-15, 2011

2 Eui Yoon Chung, "Vision based for lane change decision aid system" 2006

3 L. Andreonet, "Vehicle detection and localization in infra-red images" 141-146, 2002

4 Ronan O’Malley, "Rear-lamp vehicle detection and tracking in low-exposure color video for night conditions" 11 (11): 2010

5 Raoul de Charette, "Real time visual traffic lights recognition based on spot light detection and adaptive traffic lights templates" 358-363, 2009

6 Anselm Haselhoff, "Radar-vision fusion with an application to car-following using an improved adaboost detection algorithm" 854-, 2007

7 P. F. Alcantarilla, "Night time vehicle detection for driving assistance lightbeam controller" 291-, 2008

8 Chan Yet Wong, "Intelligent surround sensing using fuzzy inference system" 2005

9 B. F. Lin, "Incorporating appearance and edge features for vehicle detection in the blind-spot area" 869-874, 2010

10 S. Kim, "Front and rear vehicle detection and tracking in the day and night times using vision and sonar sensor fusion" 2173-2178, 2005

11 David Acunzo, "Context-adaptive approach for vehicle detection under varying lighting conditions" 654-, 2007

12 Grag Welch, "An Introduction to the kalman filter" UNC-Chapel Hill 2006

13 Sayanan Sivaraman, "Active learning based robust monocular vehicle detection for on-road safety systems" 399-, 2009

14 Luigi Giubbolini, "A Multistatic microwave radar sensor for short range anticollision warning" 49 (49): 2270-2275, 2000