Target robot for active safety evaluation of ADAS vehicles

Abstract

Active safety features and functions are built into a vehicle to automatically detect collision risks and prevent the occurrence of collisions. These functions are difficult to validate by using the traditional safety assessment methods. Therefore, evaluation methods and systems are developed for testing active safety systems. We developed a system for evaluating the active safety of advanced driver assistance system vehicles. This system consisted of an unmanned robot with a height of 100 mm and cloaked under a target dummy vehicle, which was made of balloons. This setup enabled the robot to pass through the underside of the test vehicle. In this manner, the evaluation system and test vehicle avoided possible damage during the collision test. The evaluation system could generate vehicular paths by using a differential global positioning system to enact a collision scenario for the assessment of the active safety function. Actual vehicle experiments were conducted to verify the system via the collision scenarios established by the Euro new car assessment program.