Perception, Planning, Control, and Coordination for Autonomous Vehicles
Name
machines-05-00006-v3.pdf
Size
1.09 MB
Format
Adobe PDF
Checksum (MD5)
1a8e219eaf488a59b745a7cc524f8350
Author(s)
Pendleton, Scott Drew
Andersen, Hans
Du, Xinxin
Shen, Xiaotong
Meghjani, Malika
Eng, You Hong
Ang, Marcelo H.
Pendleton, Scott
Eng, You
Ang, Marcelo
Date Issued
February 2017
Journal
Machines
Publisher
Multidisciplinary Digital Publishing Institute
Citation
Pendleton, Scott et al. "Perception, Planning, Control, and Coordination for Autonomous Vehicles." Machines 5, 1 (February 2017): 6 © 2017 The Author(s)
Version
Final published version
Abstract
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
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3390/machines5010006
