Curb-intersection feature based Monte Carlo Localization on urban roads
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Frazzoli_Curb-intersection.pdf
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1.9 MB
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Checksum (MD5)
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Author(s)
Qin, B.
Chong, Z. J.
Ang, M. H.
Frazzoli, Emilio
Rus, Daniela L.
Bandyopadhyay, Tirthankar
Date Issued
May 2012
Journal
Proceedings of the 2012 IEEE International Conference on Robotics and Automation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Qin, B., Z. J. Chong, T. Bandyopadhyay, M. H. Ang, E. Frazzoli, and D. Rus. “Curb-intersection feature based Monte Carlo Localization on urban roads.” In 2012 IEEE International Conference on Robotics and Automation, 2640-2646. Institute of Electrical and Electronics Engineers, 2012.
Version
Author's final manuscript
Abstract
One of the most prominent features on an urban road is the curb, which defines the boundary of a road surface. An intersection is a junction of two or more roads, appearing where no curb exists. The combination of curb and intersection features and their idiosyncrasies carry significant information about the urban road network that can be exploited to improve a vehicle's localization. This paper introduces a Monte Carlo Localization (MCL) method using the curb-intersection features on urban roads. We propose a novel idea of “Virtual LIDAR” to get the measurement models for these features. Under the MCL framework, above road observation is fused with odometry information, which is able to yield precise localization. We implement the system using a single tilted 2D LIDAR on our autonomous test bed and show robust performance in the presence of occlusion from other vehicles and pedestrians.
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
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DOI of Published Version
https://doi.org/10.1109/ICRA.2012.6224913
