Scholarlink

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.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

An Infrastructure-Based Localization Method for Articulated Vehicles

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Alberto Justo,
  • Iker Pacho,
  • Javier Araluce,
  • Jesus Murgoitio,
  • Luis Miguel Bergasa

摘要

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.