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Autonomous Personal Mobility Scooter for Multi-Class Mobility-On-Demand Service

Author(s)
Andersen, Hans; Eng, You Hong; Leong, Wei Kang; Zhang, Chen; Kong, Hai Xun; Pendleton, Scott; Ang, Marcelo H., Jr.; Rus, Daniela L; ... Show more Show less
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Abstract
In this paper, we describe the design and development of an autonomous personal mobility scooter that was used in public trials during the 2016 MIT Open House, for the purpose of raising public awareness and interest about autonomous vehicles. The scooter is intended to work cooperatively with other classes of autonomous vehicles such as road cars and golf cars to improve the efficacy of Mobility-on-Demand transportation solutions. The scooter is designed to be robust, reliable, and safe, while operating under prolonged durations. The flexibility in fleet expansion is shown by replicating the system architecture and sensor package that has been previously implemented in the road car and golf cars. We show that the vehicle performed robustly with small localization variance. A survey of the users shows that the public is very receptive to the concept of the autonomous personal mobility device.
Date issued
2016-11
URI
http://hdl.handle.net/1721.1/105326
Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Journal
2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC 2016)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Andersen, Hans, You Hong Eng, Wei Kang Leong, Chen Zhang, Hai Xun Kong, Scott Pendleton, Marcelo H. Ang Jr., and Daniela Rus. "Autonomous Personal Mobility Scooter for Multi-Class Mobility-On-Demand Service." In 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC 2016), Convention Center, Windsor Oceanico Hotel, Rio de Janeiro, Brazil, November 1-4, 2016.
Version: Author's final manuscript

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