DocumentCode :
3112629
Title :
Adaptive Front Light Systems of Vehicle for Road Safety
Author :
Magar, Snehal G.
Author_Institution :
Dept. of E&TC Eng., JSCOE, Pune, India
fYear :
2015
fDate :
26-27 Feb. 2015
Firstpage :
551
Lastpage :
554
Abstract :
Road safety is a major growing concern. Adaptive front light systems aim at automatically adjusting the headlamps beam of the vehicle to illuminate the road ahead as much as possible without causing any discomfort to other drivers. The proposed system "Adaptive Front Light System of Vehicle for Road Safety" focuses on building a prototype of adaptive front lighting system that improves the night time illumination of the curved roads to the driver. In this proposed system, unlike the traditional AFS which uses steering wheel for the headlamp\´s horizontal adjustment, we are using a camera and ultrasonic as sensors to adjust the headlamps horizontally and vertically. This AFS uses camera as image sensor to detect and capture the details of the curved road ahead of the vehicle. Ultrasonic sensor to detect any oncoming vehicle. As a result a suitable light beam with improved road illumination is obtained for the curved roads. This will lead to better illumination and safety at the curved roads.
Keywords :
cameras; object detection; road safety; steering systems; traffic engineering computing; ultrasonic transducers; wheels; AFS; camera; curved road detection; headlamp horizontal adjustment; headlamps beam; image sensor; light beam; night time illumination; road illumination; road image capturing; road safety; steering wheel; ultrasonic sensors; vehicle adaptive front light systems; Adaptive systems; Cameras; Lighting; Pulse width modulation; Roads; Sensors; Vehicles; Adaptive Front Light System; curved road; glaring; headlamps; horizontal and vertical adjustment; image sensor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing Communication Control and Automation (ICCUBEA), 2015 International Conference on
Conference_Location :
Pune
Type :
conf
DOI :
10.1109/ICCUBEA.2015.113
Filename :
7155907
Link To Document :
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