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Probabilistic Lane Segmentation Using a Low–Dimensional Linear Parametrization Cover

Probabilistic Lane Segmentation Using a Low–Dimensional Linear Parametrization

International Journal of Applied Mathematics and Computer Science
Volume 35 (2025): Issue 1 (March 2025)
By: Carlos Acuña,  Gustavo Arechavaleta and  Mario Castelán  
Open Access
|Apr 2025

Authors

Carlos Acuña

carlos.acunaocampo@tec.mx

Robotics and Advanced Manufacturing Group Center for Research and Advanced Studies of the National Polytechnic Institute, Mexico
School of Engineering and Sciences Monterrey Institute of Technology, Mexico

Gustavo Arechavaleta

garechav@cinvestav.edu.mx

Robotics and Advanced Manufacturing Group Center for Research and Advanced Studies of the National Polytechnic Institute, Mexico

Mario Castelán

mario.castelan@cinvestav.edu.mx

Robotics and Advanced Manufacturing Group Center for Research and Advanced Studies of the National Polytechnic Institute, Mexico
DOI: https://doi.org/10.61822/amcs-2025-0013 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 179 - 189
Submitted on: Jan 25, 2024
Accepted on: Oct 16, 2024
Published on: Apr 1, 2025
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
lane detection,
Kalman filter,
dimensionality reduction
Related subjects:
Mathematics,
Applied mathematics

© 2025 Carlos Acuña, Gustavo Arechavaleta, Mario Castelán, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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