Method for evaluating the accuracy of point cloud matching positioning results based on composite multi-attribute decision making

doi:10.13474/j.cnki.11-2246.2020.0354

Abstract

Abstract: LiDAR point cloud matching and inertial integrated navigation technology are hot topics in the field of high-precision positioning and navigation. The accuracy in the evaluation in matching positioning results directly affects the accuracy of integrated navigation positioning. Especially, outdoor actual road scenarios, the environment is complex, so the probability of mismatches is high. Only if evaluating the matching positioning results accurately can improve the integrated navigation positioning accuracy. Therefore, it is great significante to study evaluation models. In this paper, the construction of the evaluation model is abstracted as a multi-attribute decision problem. A compound multi-attribute decision algorithm is used to identify factors that influence the positioning results and give a weight. The quality of the positioning results is evaluated quantitatively, and the model is verified with using actual road data. The results show that the algorithm is reliable and effective, could reflect the quality of mateling positioning results actually.

Key words: multi-attribute decision making, integrated positioning, evaluation model, positioning precision, point clould matehing

CLC Number:

P237

WU Yuhan, LI Chaoyang, XUE Qingquan, QIE Xiaobin, ZHANG Yabo. Method for evaluating the accuracy of point cloud matching positioning results based on composite multi-attribute decision making[J]. Bulletin of Surveying and Mapping, 2020, 0(11): 55-60.

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