Threat assessment design for driver assistance system at intersections
Name
How-2010-Threat assessment design for driver assistance system at intersection.pdf
Size
978.97 KB
Format
Adobe PDF
Checksum (MD5)
ed4b26f8b59009196af1e55117ca7bb2
Author(s)
Aoude, Georges
Luders, Brandon Douglas
Lee, Kenneth King Ho
Levine, Daniel S.
How, Jonathan P.
Date Issued
September 2010
Journal
Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2010
Publisher
Institute of Electrical and Electronics Engineers
Citation
Aoude, Georges S. et al. “Threat Assessment Design for Driver Assistance System at Intersections.” 13th International IEEE Conference on Intelligent Transportation Systems. Funchal, Madeira Island, Portugal, 2010. 1855-1862. © 2011 IEEE.
Version
Final published version
Abstract
This paper considers the decision-making problem for a human-driven vehicle crossing a road intersection in the presence of other, potentially errant, drivers. Our approach relies on a novel threat assessment module, which combines an intention predictor based on support vector machines with an efficient threat assessor using rapidly-exploring random trees. This module warns the host driver with the computed threat level and the corresponding best “escape maneuver” through the intersection, if the threat is sufficiently large. Through experimental results with small autonomous and human-driven vehicles, we demonstrate that this threat assessment module can be used in real-time to minimize the risk of collision.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ITSC.2010.5625287
