Please use this identifier to cite or link to this item: https://doi.org/10.3390/machines5010006
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dc.titlePerception, planning, control, and coordination for autonomous vehicles
dc.contributor.authorPendleton, S.D
dc.contributor.authorAndersen, H
dc.contributor.authorDu, X
dc.contributor.authorShen, X
dc.contributor.authorMeghjani, M
dc.contributor.authorEng, Y.H
dc.contributor.authorRus, D
dc.contributor.authorAng, M.H
dc.date.accessioned2020-09-02T06:35:56Z
dc.date.available2020-09-02T06:35:56Z
dc.date.issued2017
dc.identifier.citationPendleton, S.D, Andersen, H, Du, X, Shen, X, Meghjani, M, Eng, Y.H, Rus, D, Ang, M.H (2017). Perception, planning, control, and coordination for autonomous vehicles. Machines 5 (1) : 6. ScholarBank@NUS Repository. https://doi.org/10.3390/machines5010006
dc.identifier.issn20751702
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/173937
dc.description.abstractAutonomous 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. © 2017 by the authors.
dc.sourceUnpaywall 20200831
dc.typeArticle
dc.contributor.departmentMECHANICAL ENGINEERING
dc.description.doi10.3390/machines5010006
dc.description.sourcetitleMachines
dc.description.volume5
dc.description.issue1
dc.description.page6
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