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Ȩ Ȩ > ¿¬±¸¹®Çå > Çмú´ëȸ ÇÁ·Î½Ãµù > Çѱ¹Á¤º¸°úÇÐȸ Çмú´ëȸ > 2019³â ÄÄÇ»ÅÍÁ¾ÇÕÇмú´ëȸ

2019³â ÄÄÇ»ÅÍÁ¾ÇÕÇмú´ëȸ

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) ½ÅÈ£À§¹Ý Â÷·® °¨Áö ½Ã½ºÅÛ
¿µ¹®Á¦¸ñ(English Title) Red Light Running Detect System
ÀúÀÚ(Author) ¹ÚÁö´ö   ¼­ÇýÀΠ  À̼ö   À̹μ±   Jeedeok Park   Hyein Suh   Sujeong Lee   Qingyuan Hu   Minsun Lee   You-Lim Ko   Kevin Saligoe  
¿ø¹®¼ö·Ïó(Citation) VOL 46 NO. 01 PP. 1696 ~ 1698 (2019. 06)
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(Korean Abstract)
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(English Abstract)
Red Light Running(RLR) has been identified as one of the primary factors for motorized vehicle accidents at intersections. In order to understand and ultimately prevent potential victims from these type of accidents, a better understanding of RLR behavior is needed. In this paper, we propose a model to reduce the number of car accidents at intersections by alerting nearby drivers when a car is approaching an incident of red light running. We built a first-round prototype that displays a neon sign of light given the car¡¯s speed and stopping distance, which is read via radar and LIDAR sensors. We conducted experiments to detect an RLR vehicle and measured stopping distances using the LIDAR sensor. The proposed model alarms non-RLR drivers where the go-straight RLR vehicle coming by a laser beam and LED panel.
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