4.7 Article

Networking and Communications in Autonomous Driving: A Survey

Journal

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
Volume 21, Issue 2, Pages 1243-1274

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/COMST.2018.2888904

Keywords

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

Funding

  1. National Natural Science Foundation of China [61771374, 61771373, 61801360, 61601357]
  2. China 111 Project [B16037]
  3. Fundamental Research Fund for the Central Universities [JB171501, JB181506, JB181507, JB181508]

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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-hoard 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.

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