A Monocular Vision-Based Positioning Method for Floating Car

Once driving in a blind-spot area, there are difficulties in transferring vehicle position through GPS data. To tackle this problem, a monocular vision-based positioning method was proposed for ITS (Intelligence Transport System). Experiment results show that the average accuracy error of the position data obtained by the proposed method is 8m, lower than the average error of GPS, which can be used as a means to obtain the position data of the floating vehicle in blind-spot. The finding of the study can help in ITS.

• Record URL:
  http://www.atsinternationaljournal.com/index.php/2020-issues/lii-november-2020/1162-a-monocular-vision-based-positioning-method-for-floating-car
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18245463
• Supplemental Notes:
  • © 2020, Aracne Editrice. All rights reserved.
• Authors:
  • Zheng, K
  • Xue, Q
  • Naji, H A
  • Zhu, D
• Publication Date: 2020-11

Language

• English

Media Info

• Media Type: Print
• Features: References;
• Pagination: pp 43-54
• Serial:
  • Advances in Transportation Studies
  • Volume: 52
  • Publisher: University Roma Tre
  • ISSN: 1824-5463
  • Serial URL: http://www.atsinternationaljournal.com/

Subject/Index Terms

• TRT Terms: Computer vision; Floating car data; Global Positioning System; Intelligent transportation systems; Position fixing; Position indicators
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01760004
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 19 2020 11:21AM