Automotive Collision Avoidance System: Threat Assessment Simulation

 
Hariharan Krishnan

Electrical & Controls Integration Laboratory

GM Research and Development Center

Warren, Michigan

 

We present a summary of results on threat assessment simulation that have been conducted as part of the Automotive Collision Avoidance System Field Operational Test program. The Threat Assessment Simulation tool, TASIM, has been developed in order to simulate the performance of forward collision warning systems. TASIM incorporates detailed mathematical models of all sensors and algorithms that are used and provides a realistic simulation environment. We use TASIM to evaluate the performance of four different threat assessment algorithms that may be used - algorithms 1 and 2 developed by GMR, algorithm 3 developed by CAMP, and algorithm 4 developed by NHTSA.

 

We introduce TASIM and describe the various error models and system delays. We analyze the performance of the threat assessment algorithms using sixteen straight, scenario-specific tests. Next we present a time series analysis based on Monte-Carlo simulation and compute the probabilities of late alerts and early alerts issued by the various threat assessment algorithms on four major pre-crash scenarios. These tests determine if the timing of imminent alert issued by the threat assessment algorithms is late or early. We then present an instantaneous analysis based on Monte-Carlo simulation and compute the probabilities of false alarms and misses due to the various threat assessment algorithms on four major pre-crash scenarios. These tests determine if the decision to issue an imminent alert or not by the threat assessment algorithms is correct. The conclusions are presented in the end.

 Friday, November 9, 2001

3:30 - 5:00 p.m.

1500 EECS