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Robotics 2018, 7(4), 67; https://doi.org/10.3390/robotics7040067

Formation Control for a Fleet of Autonomous Ground Vehicles: A Survey

School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UK
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Received: 15 August 2018 / Revised: 5 October 2018 / Accepted: 22 October 2018 / Published: 1 November 2018
(This article belongs to the Special Issue Feature Papers)
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Abstract

Autonomous/unmanned driving is the major state-of-the-art step that has a potential to fundamentally transform the mobility of individuals and goods. At present, most of the developments target standalone autonomous vehicles, which can sense the surroundings and control the vehicle based on this perception, with limited or no driver intervention. This paper focuses on the next step in autonomous vehicle research, which is the collaboration between autonomous vehicles, mainly vehicle formation control or vehicle platooning. To gain a deeper understanding in this area, a large number of the existing published papers have been reviewed systemically. In other words, many distributed and decentralized approaches of vehicle formation control are studied and their implementations are discussed. Finally, both technical and implementation challenges for formation control are summarized. View Full-Text
Keywords: formation control; leader-follower approach; consensus control; behaviour-based approach; potential field; swarm intelligence; machine learning; model predictive control; virtual structure approach; flocking control formation control; leader-follower approach; consensus control; behaviour-based approach; potential field; swarm intelligence; machine learning; model predictive control; virtual structure approach; flocking control
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Soni, A.; Hu, H. Formation Control for a Fleet of Autonomous Ground Vehicles: A Survey. Robotics 2018, 7, 67.

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