Positioning Accuracy Improvement via Distributed Location Estimate in Cooperative Vehicular Networks

The development of cooperative vehicle safety (CVS) applications, such as collision warnings, turning assistants, and speed advisories, etc., has received great attention in the past few years. Accurate vehicular localization is essential to enable these applications. In this study, motivated by the proliferation of the Global Positioning System (GPS) devices, and the increasing sophistication of wireless communication technologies in vehicular networks, the authors propose a distributed location estimate algorithm to improve the positioning accuracy via cooperative inter-vehicle distance measurement. In particular, the authors compute the inter-vehicle distance based on raw GPS pseudorange measurements, instead of depending on traditional radio-based ranging techniques, which usually either suffer from high hardware cost or have inadequate positioning accuracy. In addition, the authors improve the estimation of the vehicles' locations only based on the inaccurate GPS fixes, without using any anchors with known exact locations. The algorithm is decentralized, which enhances its practicability in highly dynamic vehicular networks. The authors have developed a simulation model to evaluate the performance of the proposed algorithm, and the results demonstrate that the algorithm can significantly improve the positioning accuracy.

• Record URL:
  https://doi.org/10.1109/ITSC.2012.6338743
• Availability:
  • Find a library where document is available. Order URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6328848
• Supplemental Notes:
  • Abstract reprinted with permission of IEEE.
• Corporate Authors:

  Institute of Electrical and Electronics Engineers (IEEE)

  3 Park Avenue, 17th Floor
  New York, NY  United States  10016-5997
• Authors:
  • Liu, Kai
  • Lim, Hock Beng
• Conference:
  • 15th International IEEE Conference on Intelligent Transportation Systems (ITSC2012)
  • Location: Anchorage Alaska, United States
  • Date: 2012-9-16 to 2012-9-19
• Publication Date: 2012-9

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1549-1554
• Monograph Title: 15th International IEEE Conference on Intelligent Transportation Systems (ITSC 2012)

Subject/Index Terms

• TRT Terms: Algorithms; Crash avoidance systems; Global Positioning System; Simulation; Vehicle electronics; Vehicle safety; Vehicular ad hoc networks; Wireless communication systems
• Subject Areas: Highways; Vehicles and Equipment; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01568358
• Record Type: Publication
• ISBN: 9781467330640
• Files: TRIS
• Created Date: Jun 26 2015 5:12PM