ML Anthology

An Infrastructure-Based Localization Method for Articulated Vehicles

Alberto Justo, Iker Pacho, Javier Araluce, Jesús Murgoitio Larrauri, Luis Miguel Bergasa
ECCVW 2024 pp. 181-197
doi:10.1007/978-3-031-91813-1_12 /eccvw/2024/justo2024eccvw-infrastructurebased/

Abstract

Automating articulated vehicles in valet parking maneuvers is becoming more significant, due to the growing need for efficient freight transportation and logistics. Thus, this paper introduces a novel Infrastructure to Vehicle (I2V) localization approach for articulated vehicles. The proposed method focuses on accurately classifying trucks and trailers and hitch angle estimation between them. Validations with real-world LiDAR data on different articulated vehicles show that our solution improves safety and efficiency in automated docking scenarios without vehicle modifications.

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Text

Justo et al. "An Infrastructure-Based Localization Method for Articulated Vehicles." European Conference on Computer Vision Workshops, 2024. doi:10.1007/978-3-031-91813-1_12

Markdown

[Justo et al. "An Infrastructure-Based Localization Method for Articulated Vehicles." European Conference on Computer Vision Workshops, 2024.](https://mlanthology.org/eccvw/2024/justo2024eccvw-infrastructurebased/) doi:10.1007/978-3-031-91813-1_12

BibTeX

@inproceedings{justo2024eccvw-infrastructurebased,
  title     = {{An Infrastructure-Based Localization Method for Articulated Vehicles}},
  author    = {Justo, Alberto and Pacho, Iker and Araluce, Javier and Larrauri, Jesús Murgoitio and Bergasa, Luis Miguel},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2024},
  pages     = {181-197},
  doi       = {10.1007/978-3-031-91813-1_12},
  url       = {https://mlanthology.org/eccvw/2024/justo2024eccvw-infrastructurebased/}
}