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Enhancement of the Total Least Squares Method for Feature Extraction in 2D LiDAR Mapped Environments
Natalia Prieto-Fernández Martín Bayón-Gutiérrez Sergio Fernández-Blanco álvaro Fernández-Blanco Francisco Carro-De-Lorenzo JoséAlberto Benítez-Andrades
Computer Modeling in Engineering & Sciences2026，Vol.147Issue(5)：P.1043-1059,17.
Computer Modeling in Engineering & Sciences2026，Vol.147Issue(5)：P.1043-1059,17.DOI:10.32604/cmes.2026.080540
Enhancement of the Total Least Squares Method for Feature Extraction in 2D LiDAR Mapped Environments
摘要
关键词
Feature extraction/geometric primitives/light detection and ranging(LiDAR)mapping/total least squares(TLS)分类
信息技术与安全科学引用本文复制引用
Natalia Prieto-Fernández,Martín Bayón-Gutiérrez,Sergio Fernández-Blanco,álvaro Fernández-Blanco,Francisco Carro-De-Lorenzo,JoséAlberto Benítez-Andrades..Enhancement of the Total Least Squares Method for Feature Extraction in 2D LiDAR Mapped Environments[J].Computer Modeling in Engineering & Sciences,2026,147(5):P.1043-1059,17.基金项目
supported by TRESCA Ingenieria S.A.within the framework of the Research Project on Survey Systems for Hostile Structured Environments Using Simultaneous Localization and Mapping(SLAM)Systems with Lidar Technology （SLAM）
The project was co-financed by the ERDF,Thematic Objective 1,which seeks to promote technological development,innovation andquality research,and inpart by the Regional Government of Castillay Leon,through the institute for the Business Competitiveness of Castilla y Leon(ICE). （ICE）
