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

2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN) Pub Date : 2021-08-17 DOI:10.1109/ICUFN49451.2021.9528771

Sunghoon Hong, Daejin Park

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引用次数: 3

Abstract

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.

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面向前向碰撞预警的低功耗嵌入式系统轻量化协同检测与跟踪算法

大部分交通事故的原因是由于疲劳驾驶等驾驶员的注意力不集中而引起的安全问题。前方碰撞预警系统(FCWS)通过检测与前方车辆的碰撞风险，并向驾驶员提供提前预警信号，可以显著减少事故的数量和严重程度。本文介绍了一种基于FCWS的低功耗嵌入式公路安全系统。本文所描述的算法通过单摄像头对前方车辆的检测、跟踪、距离计算和当前车速信息来计算碰撞时间(TTC)。此外，为了在低性能的嵌入式系统中也能实时运行，本文还将介绍一种高、低层次程序的优化技术。通过嵌入式系统中车辆的行驶视频对系统进行了测试。由于使用了优化技术，执行时间比使用先前未优化的进程快了大约170倍。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)

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