English

V2X-Based Vehicular Positioning: Opportunities, Challenges, and Future Directions

Information Theory 2020-03-03 v2 Networking and Internet Architecture math.IT

Abstract

Vehicle-to-Everything (V2X) will create many new opportunities in the area of wireless communications, while its feasibility on enabling vehicular positioning has not been explored yet. Vehicular positioning is a crucial operation for autonomous driving. Its complexity and stringent safety requirement render conventional technologies like RADAR and LIDAR inadequate. This article aims at investigating whether V2X can help vehicular positioning from different perspectives. We first explain V2X's critical advantages over other approaches and suggest new scenarios of V2X-based vehicular positioning. Then we review the state-of-the-art positioning techniques discussed in the ongoing 3GPP standardization and point out their limitations. Lastly, some promising research directions for V2X-based vehicular positioning are presented, which shed light on realizing fully autonomous driving by overcoming the current barriers.

Keywords

Cite

@article{arxiv.1908.04606,
  title  = {V2X-Based Vehicular Positioning: Opportunities, Challenges, and Future Directions},
  author = {Seung-Woo Ko and Hyukjin Chae and Kaifeng Han and Seungmin Lee and Dong-Wook Seo and Kaibin Huang},
  journal= {arXiv preprint arXiv:1908.04606},
  year   = {2020}
}

Comments

This work has been submitted to the IEEE for possible publication

R2 v1 2026-06-23T10:46:14.531Z