中文标题：Sidewalk matching: a smartphone-based GNSS positioning technique for pedestrians in urban canyons

英文标题：Sidewalk matching: a smartphone-based GNSS positioning technique for pedestrians in urban canyons

来源期刊：SpringerOpen

基金项目：This study was funded by State Key Laboratory Open Fund CEPNT2022A02 and the University Grants Committee of Hong Kong under the Research Impact Fund Grant R5009-21.

作  者：Duojie Weng, Wu Chen, Mengyu Ding, Simin Liu and Jingxian Wang

作者单位：Ministry of Natural Resources (MNR) Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics, Shenzhen University, Shenzhen, China(Duojie Weng)
The Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China(Duojie Weng,Wu Chen,Mengyu Ding&Jingxian Wang)
GNSS Research Center, Wuhan University, Wuhan, Hubei, China(Simin Liu)

摘  要：In urban canyons, most of Global Navigation Satellite System (GNSS) signals are blocked or reflected by high-rising buildings. The lack of redundant fault-free measurements poses a great challenge for detecting and isolating faulty measurements, degrading the GNSS positioning accuracy, particularly in the cross-street direction. The current GNSS positioning accuracy in urban canyons is not sufficient for identifying the sides of a street, which is highly demanded by numerous pedestrian applications. To address this issue, this study proposes a sidewalk matching technique to improve the redundancy of fault-free measurements and achieve positioning accuracy at sidewalk level in urban canyons. The technique relies on a simple pedestrian map and smartphone sensors, without Three-Dimensional (3D) building models. A new algorithm is proposed to identify the sides of the street, and a searching algorithm is developed to find GNSS position under constraints of the sidewalk. Extensive evaluation of the proposed technique based on a real-time platform demonstrated that the accuracy of GNSS positioning was less than 5 m, enabling seamless determination of the street sides in urban canyons. The new sidewalk matching technique can be used in various real-life applications, including pedestrian collision avoidance systems, online ride-hailing service, and jaywalking monitoring.

全文链接： https://satellite-navigation.springeropen.com/articles/10.1186/s43020-025-00159-8