Autonomous personal vehicle for the first- and last-mile transportation services
Name
Frazzoli_Autonomous Personal Vehicle.pdf
Size
1.74 MB
Format
Adobe PDF
Checksum (MD5)
4a01a607d6a31aaefc0b3d283992834b
Author(s)
Chong, Z. J.
Qin, B.
Wongpiromsarn, T.
Rankin, E. S.
Ang, M. H.
Hsu, D.
Low, Kian Hsiang
Frazzoli, Emilio
Rus, Daniela L.
Bandyopadhyay, Tirthankar
Date Issued
September 2011
Journal
Proceedings of the 2011 IEEE 5th International Conference on Cybernetics and Intelligent Systems (CIS)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Chong, Z. J., B. Qin, T. Bandyopadhyay, T. Wongpiromsarn, E. S. Rankin, M. H. Ang, E. Frazzoli, D. Rus, D. Hsu, and K. H. Low. “Autonomous personal vehicle for the first- and last-mile transportation services.” In 2011 IEEE 5th International Conference on Cybernetics and Intelligent Systems (CIS), 253-260. Institute of Electrical and Electronics Engineers, 2011.
Version
Author's final manuscript
Abstract
This paper describes an autonomous vehicle testbed that aims at providing the first- and last- mile transportation services. The vehicle mainly operates in a crowded urban environment whose features can be extracted a priori. To ensure that the system is economically feasible, we take a minimalistic approach and exploit prior knowledge of the environment and the availability of the existing infrastructure such as cellular networks and traffic cameras. We present three main components of the system: pedestrian detection, localization (even in the presence of tall buildings) and navigation. The performance of each component is evaluated. Finally, we describe the role of the existing infrastructural sensors and show the improved performance of the system when they are utilized.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ICCIS.2011.6070337
