Non-Line-Of-Sight GNSS signal detection using an on-board 3D model of buildings

Peyret François, Bétaille David, Mougel Florian
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引用次数: 28

Abstract

In the context of mobile robot applications for public transportation in cities, there are many challenging issues, one of these being the ability to guarantee a continuous positioning with an acceptable and controlled level of uncertainty under poor conditions of satellites visibility. In the meanwhile, the local environment is more and more accurately described with the very last geographical data bases. The idea that has been studied and implemented at IFSTTAR consists in detecting and eliminating among current GPS raw data the possible Non-Line-Of-Sight satellite measurements, using the knowledge of the 3D environment around the vehicle. The paper describes the principle of the method, its validation and the promising results that have been obtained on the resulting PVT solution. Next step will be the final real-time demonstration of the French National project CityVIP next summer in Paris.
非视距GNSS信号检测使用车载3D模型的建筑物
在移动机器人应用于城市公共交通的背景下,存在许多具有挑战性的问题,其中之一是在卫星能见度较差的条件下,以可接受和可控的不确定性水平保证连续定位的能力。同时,最新的地理数据库对当地环境的描述也越来越准确。IFSTTAR研究和实施的想法包括利用车辆周围3D环境的知识,在当前GPS原始数据中检测和消除可能的非视距卫星测量数据。本文介绍了该方法的原理、验证方法以及在得到的PVT解上取得的令人满意的结果。下一步,法国国家项目CityVIP将于明年夏天在巴黎进行最后的实时演示。
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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