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A stereovision based rear-end collision warning system on mobile devices

机译：移动设备上基于立体远端碰撞警告系统

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摘要

In this paper, we tackle the challenge of developing a stereovision-based driving assistance system for collision avoidance on a mobile device. This novel system is aimed to work in an urban environment, where a driver experiences lots of stop and go situations. In cities, rear-end accidents are the most common type of accidents, since a momentary lapse of concentration can lead to unsafe headway. The system detects and tracks the vehicle in front of the host vehicle and issues a warning if a crash is imminent, such that the driver has sufficient time to brake or take another action to avoid the accident. Complex functions were developed for lane detection and tracking and vehicle detection and tracking. The rear-end collision warning is based on the computation of Time-To-Collision and Time-Gap taking into account host vehicle speed, relative speed and relative acceleration. Stereovision-based algorithms for driving assistance are computational intensive and mobile devices as they are today have reduced resources. Our algorithms run in real-time, at 20-22 frames/second and at the same time they are robust and have high accuracy.
机译：在本文中，我们解决了在移动设备上开发基于立体驾驶辅助系统的挑战。这部小型系统旨在在城市环境中工作，驾驶员经历大量停止和情况。在城市，后端事故是最常见的事故类型，因为瞬间失效会导致不安全的入头。系统检测和跟踪车辆前面的车辆，并在迫在眉睫的情况下发出警告，使得驾驶员有足够的时间来制动或采取另一个动作以避免事故。为车道检测和跟踪和车辆检测和跟踪开发了复杂功能。后端碰撞警告是基于考虑主车辆速度，相对速度和相对加速的时间间隔和时隙的计算。基于立体驾驶辅助的基于立体型算法是计算密集型和移动设备，因为它们今天具有降低的资源。我们的算法实时运行，在20-22帧/秒，同时它们是坚固的，精度高。

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