Summary of road information extraction methods

doi:10.13474/j.cnki.11-2246.2020.0174

Abstract

Abstract: Road information extraction aims to extract information on a road by using relevant data and methods, such as the number of lanes, centerlines and boundary lines. Road information extraction has important application value in transportation planning and vehicle navigation. With the wide application of various sensor devices, the explosion of traffic data and the method of road information extraction are changing rapidly. This paper reviews the research progress of road information extraction recently. The road information extraction method is divided into three categories based on video and data, high-density point cloud data and floating vehicle trajectory data according to the data source, and these three categories are discussed in depth. The main implementation algorithms of the method, and the comparative analysis of these algorithm models, finally explored the future research trends and challenges of the existing road information extraction methods.

Key words: road information extraction, data mining, time and space track, image data, floating car data, high-density point cloud data

CLC Number:

P237

LI Xiaolong, ZHANG Yun. Summary of road information extraction methods[J]. Bulletin of Surveying and Mapping, 2020, 0(6): 22-27.

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