期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2022
卷号：V-2-2022
页码：375-382
DOI：10.5194/isprs-annals-V-2-2022-375-2022
语种：English
出版社：Copernicus Publications
摘要：It is crucial to ensure no obstruction above urban streets for drivers. If street obstructions limit the sight of drivers, it may reduce the ability of drivers to perceive the surrounding road conditions. Street obstructions are usually caused by a variety of different factors. It includes street trees overgrowing into the space above the road or the wrong placement of the infrastructure. To ensure road traffic safety, transportation agencies are required to obtain the existence of street obstructions. To address the issue, this paper proposes a novel method to detect street obstructions. The method consists of two main steps: non-obstruction space construction by the Alpha-Smooth method and street obstruction analysis. The proposed approach is able to map the thematic map of street obstructions in the urban environment. The algorithm was tested on urban streets in Shanghai, China, and successfully obtained obstructions information. The results indicated that street trees are the main components of road obstructions. The proposed approach can make contribution to street maintenance and obstructions monitoring that aim to develop safer urban street environments.
关键词：MLS data; street obstruction; non-obstruction space; obstruction analysis; urban street environment
