Xiaotong Shen

Dr. Xiaotong Shen

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 February 2017 in Machines
Verified
Journal Article
Open access
PDF file
SPScott Drew Pendleton
Scott Drew Pendleton
HAHans Andersen
Hans Andersen
XDXinxin Du
Xinxin Du
XSXiaotong Shen
Xiaotong Shen
MMMalika Meghjani
Malika Meghjani
Marcelo H.   Ang Jr.Marcelo H. Ang Jr.
Marcelo H. Ang Jr.
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.