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.
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This research was supported by the Korea Ministry of Land, Infrastructure, and Transport and the Korea Agency for Infrastructure Technology Advancement (Project No.: 18TLRP-B117133-03).
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Yeonggeol Park received his B.S. degree from the Department of Automotive Engineering, Kookmin University, Seoul, South Korea in 2007. He earned his M.S. and Ph.D. degrees from the Department of Mechanics and Design, Kookmin University in 2009 and 2017, respectively. His current research interests include evaluation for advanced driving automotive safety systems.
Seohang Lee received his B.S. degree from the Department of Mechanical Engineering, Kookmin University, Seoul, South Korea in 2017. He has been a Ph.D. candidate at Kookmin University since 2017. His research interests include the development of mobile robots for advanced driving automotive safety
Myoungyeon Park received his B.S. degree from the Department of Automotive Engineering, Kookmin University, Seoul, South Korea in 2015. He received his M.S. degrees from the Department of Mechanics and Design in Kookmin University in 2017. He has been a Ph.D. candidate in Kookmin University since 2019.
Jaekon Shin received his B.S. and M.S. degrees from Inha University, Korea and Ajou University, Korea in Electronics Engineering in 1987 and 2001, respectively. He earned his Ph.D. degree from the Department of Electronics and Computer Engineering at Hanyang University, Seoul, Korea in 2015. He was with Hyundai Motor Company as a Senior Engineer from 1986 to 1993. Since then, he has been working as a Senior Researcher at the Korea Automobile Testing & Research Institute. He is the head of the Automated Vehicle Research Division. His research interests include evaluation and rulemaking of EMC, electronic control systems, and automated vehicles.
Jayil Jeong received his B.S., M.S., and Ph.D. degrees from the School of Mechanical and Aerospace Engineering, Seoul National University, Seoul, Korea, in 1995, 1997, and 2002, respectively. He was a Postdoctoral Researcher at the Department of Mechanical Engineering at Johns Hopkins University in the United States from 2003 to 2006. Since then, he has been a Professor in the School of Mechanical Engineering in Kook-min University, Seoul, Korea. His current research interests include safety evaluation systems for automated vehicles.
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Park, Y., Lee, S., Park, M. et al. Target robot for active safety evaluation of ADAS vehicles. J Mech Sci Technol 33, 4431–4438 (2019). https://doi.org/10.1007/s12206-019-0839-3
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DOI: https://doi.org/10.1007/s12206-019-0839-3