Lightweight Collaboration of Detecting and Tracking Algorithm in Low-Power Embedded Systems for Forward Collision Warning

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WEB OF SCIENCE

5
Citations

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9

초록

The cause of the majority of vehicle accidents is a safety issue due to the driver's inattention, such as drowsy driving. A forward collision warning system (FCWS) can significantly reduce the number and severity of accidents by detecting the risk of collision with vehicles in front and providing an advanced warning signal to the driver. This paper describes a low power embedded system based FCWS for highway safety. The algorithm described in this paper computes time to collision (TTC) through detection, tracking, distance calculation for the vehicle ahead and current vehicle speed information with a single camera. Additionally, in order to operate in real time even in a low-performance embedded system, an optimization technique in the program with high and low levels will be introduced. The system has been tested through the driving video of the vehicle in the embedded system. As a result of using the optimization technique, the execution time was about 170 times faster than that when using the previous non-optimized process.

키워드

Forward collision warning system; object detection; low-power vision processing; hardware-software acceleration
제목
Lightweight Collaboration of Detecting and Tracking Algorithm in Low-Power Embedded Systems for Forward Collision Warning
저자
Hong, Sunghoon; Park, Daejin
DOI
10.1109/ICUFN49451.2021.9528771
발행일
2021
유형
Proceedings Paper
저널명
International Conference on Ubiquitous and Future Networks, ICUFN
페이지
159 ~ 162