Perception, Planning, Control, and Coordination for Autonomous Vehicles
Autonomous vehicles are expected to play a key role in the future of urban transportation systems, as they offer potential for additional safety, increased productivity, greater accessibility, better road efficiency, and positive impact on the environment. Research in autonomous systems has seen dram...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-02-01
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| Series: | Machines |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2075-1702/5/1/6 |
| _version_ | 1811317021207429120 |
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| author | Scott Drew Pendleton Hans Andersen Xinxin Du Xiaotong Shen Malika Meghjani You Hong Eng Daniela Rus Marcelo H. Ang |
| author_facet | Scott Drew Pendleton Hans Andersen Xinxin Du Xiaotong Shen Malika Meghjani You Hong Eng Daniela Rus Marcelo H. Ang |
| author_sort | Scott Drew Pendleton |
| collection | DOAJ |
| description | Autonomous vehicles are expected to play a key role in the future of urban transportation systems, as they offer potential for additional safety, increased productivity, greater accessibility, better road efficiency, and positive impact on the environment. Research in autonomous systems has seen dramatic advances in recent years, due to the increases in available computing power and reduced cost in sensing and computing technologies, resulting in maturing technological readiness level of fully autonomous vehicles. The objective of this paper is to provide a general overview of the recent developments in the realm of autonomous vehicle software systems. Fundamental components of autonomous vehicle software are reviewed, and recent developments in each area are discussed. |
| first_indexed | 2024-04-13T11:59:26Z |
| format | Article |
| id | doaj.art-abdfe9dec3654b44b40253e67430c8cc |
| institution | Directory Open Access Journal |
| issn | 2075-1702 |
| language | English |
| last_indexed | 2024-04-13T11:59:26Z |
| publishDate | 2017-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj.art-abdfe9dec3654b44b40253e67430c8cc2022-12-22T02:47:48ZengMDPI AGMachines2075-17022017-02-0151610.3390/machines5010006machines5010006Perception, Planning, Control, and Coordination for Autonomous VehiclesScott Drew Pendleton0Hans Andersen1Xinxin Du2Xiaotong Shen3Malika Meghjani4You Hong Eng5Daniela Rus6Marcelo H. Ang7Department of Mechanical Engineering, National University of Singapore, Singapore 119077, SingaporeDepartment of Mechanical Engineering, National University of Singapore, Singapore 119077, SingaporeFuture Urban Mobility, Singapore-MIT Alliance for Research and Technology, Singapore 138602, SingaporeFuture Urban Mobility, Singapore-MIT Alliance for Research and Technology, Singapore 138602, SingaporeFuture Urban Mobility, Singapore-MIT Alliance for Research and Technology, Singapore 138602, SingaporeFuture Urban Mobility, Singapore-MIT Alliance for Research and Technology, Singapore 138602, SingaporeDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USADepartment of Mechanical Engineering, National University of Singapore, Singapore 119077, SingaporeAutonomous vehicles are expected to play a key role in the future of urban transportation systems, as they offer potential for additional safety, increased productivity, greater accessibility, better road efficiency, and positive impact on the environment. Research in autonomous systems has seen dramatic advances in recent years, due to the increases in available computing power and reduced cost in sensing and computing technologies, resulting in maturing technological readiness level of fully autonomous vehicles. The objective of this paper is to provide a general overview of the recent developments in the realm of autonomous vehicle software systems. Fundamental components of autonomous vehicle software are reviewed, and recent developments in each area are discussed.http://www.mdpi.com/2075-1702/5/1/6autonomous vehicleslocalizationperceptionplanningautomotive controlmulti-vehicle cooperation |
| spellingShingle | Scott Drew Pendleton Hans Andersen Xinxin Du Xiaotong Shen Malika Meghjani You Hong Eng Daniela Rus Marcelo H. Ang Perception, Planning, Control, and Coordination for Autonomous Vehicles Machines autonomous vehicles localization perception planning automotive control multi-vehicle cooperation |
| title | Perception, Planning, Control, and Coordination for Autonomous Vehicles |
| title_full | Perception, Planning, Control, and Coordination for Autonomous Vehicles |
| title_fullStr | Perception, Planning, Control, and Coordination for Autonomous Vehicles |
| title_full_unstemmed | Perception, Planning, Control, and Coordination for Autonomous Vehicles |
| title_short | Perception, Planning, Control, and Coordination for Autonomous Vehicles |
| title_sort | perception planning control and coordination for autonomous vehicles |
| topic | autonomous vehicles localization perception planning automotive control multi-vehicle cooperation |
| url | http://www.mdpi.com/2075-1702/5/1/6 |
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