Author(s):
Jonas Nilsson, Mohammad Ali

Year of publication:
2010

Published in:
The "13th International IEEE Conference on Intelligent Transportation Systems", September 2010, Madeira

Publication type:
Conference paper - peer reviewed

Abstract:
Active safety systems utilize information about the vehicle’s state and possibly the surrounding environment to assist the driver if a traffic situation is considered hazardous. The decision to assist the driver is based on sensors that are more or less subjected to errors. In this paper, we study the influence of input perturbations on decision functions in active safety systems. We present a framework for evaluation of system performance and specification of input requirements. By introducing a robustness measure, describing the robustness to error for the decision function, we derive efficient methods for analyzing the system performance. The framework is demonstrated on experimental data.

More information / Full text:
http://publications.lib.chalmers.se/cpl/record/index.xsql?pubid=129267

Research area:
Pre-Crash Safety

Project:
Systems for Roadway Departure Avoidance
Verification of Active Safety Functions