Perception, Planning, Control, and Coordination for Autonomous Vehicles
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; Rus, Daniela L; ... Show more Show less
Downloadmachines-05-00006-v3.pdf (1.087Mb)
PUBLISHER_CC
Publisher with Creative Commons License
Creative Commons Attribution
Terms of use
Metadata
Show full item recordAbstract
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
Date issued
2017-02Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer ScienceJournal
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
ISSN
2075-1702