Design of Driver-Assist Systems Under Probabilistic Safety Specifications Near Stop Signs
Name
Del Vecchio_Design of driver.pdf
Size
1.57 MB
Format
Adobe PDF
Checksum (MD5)
f1ab9eea623202f8e8d79ea3d60285c2
Author(s) • • •
McNew, John M.
Forghani Oozroody, Mojtaba
Hoehener, Daniel Andreas
Del Vecchio, Domitilla
Date Issued
December 2015
Journal
IEEE Transactions on Automation Science and Engineering
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Forghani, Mojtaba; McNew, John M.; Hoehener, Daniel and Del Vecchio, Domitilla “Design of Driver-Assist Systems Under Probabilistic Safety Specifications Near Stop Signs.” IEEE Transactions on Automation Science and Engineering 13, no. 1 (January 2016): 43–53. © 2016 Institute of Electrical and Electronics Engineers (IEEE)
Version
Author's final manuscript
Abstract
In this paper, we consider the problem of designing in-vehicle driver-assist systems that warn or override the driver to prevent collisions with a guaranteed probability. The probabilistic nature of the problem naturally arises from many sources of uncertainty, among which the behavior of the surrounding vehicles and the response of the driver to on-board warnings. We formulate this problem as a control problem for uncertain systems under probabilistic safety specifications and leverage the structure of the application domain to reach computationally efficient implementations. Simulations using a naturalistic data set show that the empirical probability of safety is always within 5% of the theoretical value in the case of direct driver override. In the case of on-board warnings, the empirical value is more conservative due primarily to drivers decelerating more strongly than requested. However, the empirical value is greater than or equal to the theoretical value, demonstrating a clear safety benefit.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/TASE.2015.2499221