An Infrastructure-Based Localization Method for Articulated Vehicles

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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.

Original languageEnglish
Title of host publicationComputer Vision – ECCV 2024 Workshops, Proceedings
EditorsAlessio Del Bue, Cristian Canton, Jordi Pont-Tuset, Tatiana Tommasi
PublisherSpringer Science and Business Media Deutschland GmbH
Pages181-197
Number of pages17
ISBN (Print)9783031918124
DOIs
Publication statusPublished - 2025
EventWorkshops that were held in conjunction with the 18th European Conference on Computer Vision, ECCV 2024 - Milan, Italy
Duration: 29 Sept 20244 Oct 2024

Publication series

NameLecture Notes in Computer Science
Volume15630 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceWorkshops that were held in conjunction with the 18th European Conference on Computer Vision, ECCV 2024
Country/TerritoryItaly
CityMilan
Period29/09/244/10/24

Keywords

  • Articulated Vehicles
  • Hitch Angle Estimation
  • Infrastructure to Vehicle
  • Localization

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