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- Scott Pendleton
- Department of Mechanical Engineering, National University of Singapore, Singapore 119077, Singapore
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- Hans Andersen
- Department of Mechanical Engineering, National University of Singapore, Singapore 119077, Singapore
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- Xinxin Du
- Future Urban Mobility, Singapore-MIT Alliance for Research and Technology, Singapore 138602, Singapore
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- Xiaotong Shen
- Future Urban Mobility, Singapore-MIT Alliance for Research and Technology, Singapore 138602, Singapore
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- Malika Meghjani
- Future Urban Mobility, Singapore-MIT Alliance for Research and Technology, Singapore 138602, Singapore
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- You Eng
- Future Urban Mobility, Singapore-MIT Alliance for Research and Technology, Singapore 138602, Singapore
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- Daniela Rus
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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- Marcelo Ang
- Department of Mechanical Engineering, National University of Singapore, Singapore 119077, Singapore
説明
<jats:p>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.</jats:p>
収録刊行物
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- Machines
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Machines 5 (1), 6-, 2017-02-17
MDPI AG