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Data fusion for overtaking vehicle detection based on radar and optical flow

机译:基于雷达和光流的超车检测数据融合

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摘要

Trustworthiness is a key point when dealing with vehicle safety applications. In this paper an approach to a real application is presented, able to fulfill the requirements of such demanding applications. Most of commercial sensors available nowadays are usually designed to detect front vehicles but lack the ability to detect overtaking vehicles. The work presented here combines the information provided by two sensors, a Stop&Go radar and a camera. Fusion is done by using the unprocessed information from the radar, and computer vision based on optical flow. The basic capabilities of the commercial systems are upgraded giving the possibility to improve the front vehicles detection system, by detecting overtaking vehicles with a high positive rate.
机译:在处理车辆安全应用程序时,诚信是关键。在本文中,提出了一种能够满足此类苛刻应用程序要求的实际应用程序的方法。如今,大多数商用传感器通常设计用于检测前方车辆,但缺乏检测超车的能力。此处介绍的工作结合了两个传感器(即停即走雷达和摄像头)提供的信息。通过使用来自雷达的未处理信息以及基于光流的计算机视觉来完成融合。商用系统的基本功能得到了升级,通过检测超车率高的超车,可以改善前车检测系统。

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