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 |
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Multidisciplinary Digital Publishing Institute
2018
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| Online Access: | http://hdl.handle.net/1721.1/113359 https://orcid.org/0000-0001-5473-3566 |
| _version_ | 1811084032467795968 |
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| author | Pendleton, Scott Drew Andersen, Hans Du, Xinxin Shen, Xiaotong Meghjani, Malika Eng, You Hong Ang, Marcelo H. Pendleton, Scott Eng, You Ang, Marcelo Rus, Daniela L |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Pendleton, Scott Drew Andersen, Hans Du, Xinxin Shen, Xiaotong Meghjani, Malika Eng, You Hong Ang, Marcelo H. Pendleton, Scott Eng, You Ang, Marcelo Rus, Daniela L |
| author_sort | Pendleton, Scott Drew |
| collection | MIT |
| 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. Keywords: autonomous vehicles; localization; perception; planning; automotive control; multi-vehicle cooperation |
| first_indexed | 2024-09-23T12:43:31Z |
| format | Article |
| id | mit-1721.1/113359 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T12:43:31Z |
| publishDate | 2018 |
| publisher | Multidisciplinary Digital Publishing Institute |
| record_format | dspace |
| spelling | mit-1721.1/1133592022-10-01T10:45:24Z Perception, Planning, Control, and Coordination for Autonomous Vehicles Pendleton, Scott Drew Andersen, Hans Du, Xinxin Shen, Xiaotong Meghjani, Malika Eng, You Hong Ang, Marcelo H. Pendleton, Scott Eng, You Ang, Marcelo Rus, Daniela L Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Rus, Daniela L 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. Keywords: autonomous vehicles; localization; perception; planning; automotive control; multi-vehicle cooperation 2018-01-30T20:33:18Z 2018-01-30T20:33:18Z 2017-02 2017-01 2018-01-24T21:03:42Z Article http://purl.org/eprint/type/JournalArticle 2075-1702 http://hdl.handle.net/1721.1/113359 Pendleton, Scott et al. "Perception, Planning, Control, and Coordination for Autonomous Vehicles." Machines 5, 1 (February 2017): 6 © 2017 The Author(s) https://orcid.org/0000-0001-5473-3566 http://dx.doi.org/10.3390/machines5010006 Machines Creative Commons Attribution http://creativecommons.org/licenses/by/4.0/ application/pdf Multidisciplinary Digital Publishing Institute Multidisciplinary Digital Publishing Institute |
| spellingShingle | Pendleton, Scott Drew Andersen, Hans Du, Xinxin Shen, Xiaotong Meghjani, Malika Eng, You Hong Ang, Marcelo H. Pendleton, Scott Eng, You Ang, Marcelo Rus, Daniela L Perception, Planning, Control, and Coordination for Autonomous Vehicles |
| 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 |
| url | http://hdl.handle.net/1721.1/113359 https://orcid.org/0000-0001-5473-3566 |
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