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Machines 2017, 5(1), 6;

Perception, Planning, Control, and Coordination for Autonomous Vehicles

Department of Mechanical Engineering, National University of Singapore, Singapore 119077, Singapore
Future Urban Mobility, Singapore-MIT Alliance for Research and Technology, Singapore 138602, Singapore
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Author to whom correspondence should be addressed.
Academic Editor: Robert Parkin
Received: 3 January 2017 / Revised: 1 February 2017 / Accepted: 13 February 2017 / Published: 17 February 2017
(This article belongs to the Special Issue Mechatronics: Intelligent Machines)
PDF [1113 KB, uploaded 28 February 2017]


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. View Full-Text
Keywords: autonomous vehicles; localization; perception; planning; automotive control; multi-vehicle cooperation autonomous vehicles; localization; perception; planning; automotive control; multi-vehicle cooperation

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Pendleton, S.D.; Andersen, H.; Du, X.; Shen, X.; Meghjani, M.; Eng, Y.H.; Rus, D.; Ang, M.H. Perception, Planning, Control, and Coordination for Autonomous Vehicles. Machines 2017, 5, 6.

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