Driver interference and risk in semiautonomous braking under uncertainty

Published

Conference Paper

Emergency maneuvering systems can take control of a vehicle in high-risk situations caused by distracted, fatigued, or careless drivers, which can reduce the frequency and severity of collisions. But in order to override the user's control the vehicle must reason with uncertain information: sensing provides noisy and partial input, vehicle dynamics models are never perfectly calibrated, and other agents (vehicles, pedestrians) may behave unpredictably. In the context of collision imminent braking (CIB), we explore the tradeoffs between risk and interference with normal driving behavior that are inherent in the presence of uncertainty. Specifically, control policies that take a conservative approach to uncertainty are more likely to brake unnecessarily. We compare several control policies on different scenarios using Monte-Carlo hardware-in-the-loop simulations in order to quantify their behavioral characteristics in terms of collision risk and driver interference. We demonstrate that a relatively high degree of safety can be achieved at a relatively low degree of interference, but idealized behavior is unattainable in the presence of uncertainty. © 2011 IEEE.

Full Text

Duke Authors

Cited Authors

  • Zhang, Y; Hauser, K

Published Date

  • December 15, 2011

Published In

  • Proceedings of the 2011 International Conference on Collaboration Technologies and Systems, Cts 2011

Start / End Page

  • 178 - 185

International Standard Book Number 13 (ISBN-13)

  • 9781612846378

Digital Object Identifier (DOI)

  • 10.1109/CTS.2011.5928684

Citation Source

  • Scopus