Browsing by Author "Kao, Chih-Chun"

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A Vision-Based Collision Warning System by Surrounding Vehicles Detection
(2012-04-25)
Wu, Bing-Fei
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Chen, Ying-Han
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Kao, Chih-Chun
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Li, Yen-Feng
;
Chen, Chao-Jung
To provide active notification and enhance drivers' awareness of their surroundings, a vision-based collision warning system that detects and monitors surrounding vehicles is proposed in this paper. The main objective is to prevent possible vehicle collisions by monitoring the status of surrounding vehicles, including the distance to the other vehicles in front, behind, to the left and to the right sides. In addition, the proposed system collects and integrates this information to provide advisory warnings to drivers. To offer the correct notification, an algorithm based on features of edge and morphology to detect vehicles is also presented. The proposed system has been implemented in embedded systems and evaluated on real roads in various lighting and weather conditions. The experimental results indicate that the vehicle detection ratios were higher than 97% in the daytime, and appropriate for real road applications.
Mobile Lane Departure Warning Systems
(2009)
Chen, Chao-Jung
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Wu, Bing-Fei
;
Lin, Wen-Hsin
;
Kao, Chih-Chun
;
Chen, Yi-Han
In this paper, mobile lane departure warning systems (M-LDWS) are addressed. The proposed lane departure warning (LDW) detection algorithm has been successfully implemented on handheld devices with their build-in cameras. The users as long as download LDW program to their own mobile phones and the driving safety service will be enabled. M-LDWS is settled behind the windshield and the driver will be alerted when his car departs from the host lane. M-LDWS detects lane boundaries ahead the host vehicle and estimates the position within the host lane by the captured real-time image. It is qualified to be applied on highways, expressways and urban roadways in Taiwan. It also has been successfully verified in sunny, cloudy and rainy conditions for day and night. M-LDWS will be a novel killer application in consumer devices for driving assistance systems.