Flocking-based cooperative autonomous driving using vehicle-to-everything communication

Y. Park, S. Kuk, S. Han, S. Lim, H. Kim

Research output: Contribution to journalArticlepeer-review

Abstract

Current autonomous driving relies on sensors that can only observe the vehicles in the line of sight (LoS), rendering the driving decisions to hinge on the physical movements of the visible vehicles in proximity. Furthermore, it is practically impossible to sense their intentions. Consequently, driving decisions that account for non-LoS vehicles and the intentions of neighbouring vehicles are hard to achieve. This Letter shows the potential of combining vehicular communication with autonomous driving. In particular, the authors show how vehicular communication can assist autonomous driving decision, with a case of a controller that mimics the flocking behaviours in nature.

Original languageEnglish
Pages (from-to)535-537
Number of pages3
JournalElectronics Letters
Volume55
Issue number9
DOIs
Publication statusPublished - 2019

Bibliographical note

Funding Information:
Acknowledgments: This research was supported by a grant (18CTAP-C133064-02) from the Technology Advancement Research Program (TARP) funded by the Ministry of Land, Infrastructure and Transport of Korean government, and by a Korea University Grant.

Funding Information:
This research was supported by a grant (18CTAP-C133064-02) from the Technology Advancement Research Program (TARP) funded by the Ministry of Land, Infrastructure and Transport of Korean government, and by a Korea University Grant.

Publisher Copyright:
© The Institution of Engineering and Technology 2019

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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