Vehicle Positioning Based on Road-side Features and Matching Techniques

Sheng Lun Wang, Jyh Ching Juang, Hung Yih Tsai

研究成果: Conference contribution

摘要

The accuracy and reliability of the vehicle positioning system are important performance indices of advanced driver assisted systems and the autonomous driving systems. The paper focuses on the development and verification of vehicle positioning techniques by using Lidar and GPS/IMU sensors. To this end, the techniques for feature extraction, map building, and point cloud matching are investigated. The techniques are then integrated and implemented in a robotic operating system (ROS) platform. Experimental results verify the feasibility of the proposed sensor fusion technique with roadside feature extraction characteristics in rendering high accuracy and reliability vehicle positioning.

原文English
主出版物標題2018 International Automatic Control Conference, CACS 2018
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781538662786
DOIs
出版狀態Published - 2019 一月 9
事件2018 International Automatic Control Conference, CACS 2018 - Taoyuan, Taiwan
持續時間: 2018 十一月 42018 十一月 7

出版系列

名字2018 International Automatic Control Conference, CACS 2018

Conference

Conference2018 International Automatic Control Conference, CACS 2018
國家/地區Taiwan
城市Taoyuan
期間18-11-0418-11-07

All Science Journal Classification (ASJC) codes

  • 控制和優化
  • 建模與模擬

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