Networking and Communications in Autonomous Driving: A Survey

Jiadai Wang, Jiajia Liu, Nei Kato

Research output: Contribution to journalArticlepeer-review

104 Citations (Scopus)

Abstract

The development of light detection and ranging, Radar, camera, and other advanced sensor technologies inaugurated a new era in autonomous driving. However, due to the intrinsic limitations of these sensors, autonomous vehicles are prone to making erroneous decisions and causing serious disasters. At this point, networking and communication technologies can greatly make up for sensor deficiencies, and are more reliable, feasible and efficient to promote the information interaction, thereby improving autonomous vehicle's perception and planning capabilities as well as realizing better vehicle control. This paper surveys the networking and communication technologies in autonomous driving from two aspects: intra-and inter-vehicle. The intra-vehicle network as the basis of realizing autonomous driving connects the on-board electronic parts. The inter-vehicle network is the medium for interaction between vehicles and outside information. In addition, we present the new trends of communication technologies in autonomous driving, as well as investigate the current mainstream verification methods and emphasize the challenges and open issues of networking and communications in autonomous driving.

Original languageEnglish
Article number8584062
Pages (from-to)1243-1274
Number of pages32
JournalIEEE Communications Surveys and Tutorials
Volume21
Issue number2
DOIs
Publication statusPublished - 2019 Apr 1
Externally publishedYes

Keywords

  • Autonomous driving
  • inter-vehicle network
  • intra-vehicle network
  • survey
  • verification method

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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