AEB Simulation Method Based on Vehicle Test Data for Accident Analysis of ADAS Vehicles

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AEB Simulation Method Based on Vehicle Test Data for Accident Analysis of ADAS Vehicles

Kim, Jong Hyuk / Lee, Jae Hyeong / Choi, Ji Hun / Jeon, Woo Jeong

The use of vehicles equipped with autonomous emergency braking (AEB), among the most widely employed functions of the advanced driver assistance system (ADAS), is rising, and thus so is demand for analytical services for accident investigation related to AEB issues. In fact, even if the AEB system functions properly, accidents may still occur due to various causes, such as the malfunction of ADAS sensors, functional or performance limits of ADAS operating algorithms, or driver negligence. Therefore, a clear understanding of the workings of ADAS sensors and ADAS operating algorithms, as well as analytical tools and scientific methods for accident reconstruction and forensic analysis, is required to ensure accuracy and consistency in accident investigation. The present study focused on the reconstruction and analysis of traffic accidents involving autonomous and ADAS vehicles. To this end, an attempt was made to create an AEB simulation environment in which various AEB functions can be implemented and tested. AEB function tests were conducted according to the EuroNCAP AEB's test scenarios to determine the functional characteristics of AEB systems. As such, it was possible to implement an AEB function simulation based on actual vehicle test data.