TY  - JOUR 
AU  - Escuela de Ingenierias Industrial, Informática y Aeroespacial
AU  - Prieto Fernández, Natalia
AU  - Fernández Blanco, Sergio
AU  - Fernández Blanco, Álvaro
AU  - Benítez Andrades, José Alberto
AU  - Carro de Lorenzo, Francisco Julián
AU  - Benavides Cuéllar, María del Carmen
AU  - Ingenieria de Sistemas y Automatica
DA  - 2024
SN  - 1551-3203
UR  - https://hdl.handle.net/10612/20233
AB  - [EN] The ability to map an unknown environment is a fundamental milestone for autonomous robotic vehicles. Solutions in this field must combine efficiency, accuracy, and precision. We propose a novel methodology for map feature extraction in indoor...
LA  - eng
PB  - IEEE
KW  - Ingenierías
KW  - Matemáticas
KW  - Bivariate linear regression mapping
KW  - LiDAR
KW  - SLAM
KW  - Computational efficiency
KW  - Feature extraction
KW  - Light detection and ranging
KW  - Simultaneous localization and mapping
TI  - Conditional Weighted Linear Fitting for 2D-LiDAR-Mapping of Indoor SLAM
DO  - 10.1109/TII.2024.3384626
T2  - IEEE Transactions on Industrial Informatics
M2  - 1
ER  -