Formation Control for a Fleet of Autonomous Ground Vehicles: A Survey
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 per...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-11-01
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| Series: | Robotics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2218-6581/7/4/67 |
| _version_ | 1798005492285440000 |
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| author | Aakash Soni Huosheng Hu |
| author_facet | Aakash Soni Huosheng Hu |
| author_sort | Aakash Soni |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T12:41:15Z |
| format | Article |
| id | doaj.art-b0539e6119094a39b8a0013aa0cceea5 |
| institution | Directory Open Access Journal |
| issn | 2218-6581 |
| language | English |
| last_indexed | 2024-04-11T12:41:15Z |
| publishDate | 2018-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Robotics |
| spelling | doaj.art-b0539e6119094a39b8a0013aa0cceea52022-12-22T04:23:30ZengMDPI AGRobotics2218-65812018-11-01746710.3390/robotics7040067robotics7040067Formation Control for a Fleet of Autonomous Ground Vehicles: A SurveyAakash Soni0Huosheng Hu1School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UKSchool of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UKAutonomous/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.https://www.mdpi.com/2218-6581/7/4/67formation controlleader-follower approachconsensus controlbehaviour-based approachpotential fieldswarm intelligencemachine learningmodel predictive controlvirtual structure approachflocking control |
| spellingShingle | Aakash Soni Huosheng Hu Formation Control for a Fleet of Autonomous Ground Vehicles: A Survey Robotics formation control leader-follower approach consensus control behaviour-based approach potential field swarm intelligence machine learning model predictive control virtual structure approach flocking control |
| title | Formation Control for a Fleet of Autonomous Ground Vehicles: A Survey |
| title_full | Formation Control for a Fleet of Autonomous Ground Vehicles: A Survey |
| title_fullStr | Formation Control for a Fleet of Autonomous Ground Vehicles: A Survey |
| title_full_unstemmed | Formation Control for a Fleet of Autonomous Ground Vehicles: A Survey |
| title_short | Formation Control for a Fleet of Autonomous Ground Vehicles: A Survey |
| title_sort | formation control for a fleet of autonomous ground vehicles a survey |
| topic | formation control leader-follower approach consensus control behaviour-based approach potential field swarm intelligence machine learning model predictive control virtual structure approach flocking control |
| url | https://www.mdpi.com/2218-6581/7/4/67 |
| work_keys_str_mv | AT aakashsoni formationcontrolforafleetofautonomousgroundvehiclesasurvey AT huoshenghu formationcontrolforafleetofautonomousgroundvehiclesasurvey |