基于摄像头的车辆定位精度评价

Kai Cordes, Norman Nolte, N. Meine, Hellward Broszio
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引用次数: 5

摘要

协同机动在许多V2X应用中都非常受关注。协同机动的实施需要对车辆进行精确的定位。自动驾驶汽车的精确定位将由下一代5G互联汽车提供。在所有汽车都加入网络之前,还必须考虑未联网的汽车。这些汽车通过路边的静态摄像头进行定位。本文的范围是实现和评估一个系统,该系统为合作机动场景提供车辆的检测、跟踪和定位。该应用程序是车辆的车道合并,其中车辆定位用于规划轨迹。被观测车辆配备GNSS RTK单元进行自定位,这是相机系统提供的定位精度评估的基础。
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Accuracy Evaluation of Camera-based Vehicle Localization
Cooperative maneuvers are of high interest within many V2X applications. The implementation of cooperative maneuvers require the accurate localization of the vehicles. Accurate localizations of the ego-vehicle will be provided by the next generation of connected cars using 5G. Until all cars participate in the network, unconnected cars have to be considered as well. These cars are localized via static cameras positioned next to the road. The scope of this paper is the implementation and evaluation of a system which provides the detection, tracking, and localization of vehicles for a cooperative maneuvers scenario. The application is the lane merge of vehicles where the vehicle localizations are used for the planning of trajectories. The observed vehicles are equipped with GNSS RTK units for their self-localization which is the basis for the accuracy evaluation of the localization provided by the camera system.
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