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Prof. Bongsob Song

송봉섭 교수

bsong@ajou.ac.kr

Dept. of Mechanical Engineering, Ajou University Director, Automatic Control Lab

경력

  • 2002 - 2003 Assistant Research Engineer, California PATH, University of California at Berkeley, USA.
  • 2004 - present Professor, Ajou University, Korea.
  • 2018 - present Board member of KSAE, Korea.
  • 2015 - present Advisory committee member of KNCAP, Korea.
  • 2013 - 2015 Associate editor of Journal of Mechanical Science and Technology, KSME Publication Chair of IEEE IV Symposium 2015, Seoul, Korea. member of KSAE, KSME and ICROS.

학력

  • B.S. from Hanyang University in 1996, M.S. and Ph. D. from UC Berkeley in 1999 and 2002 respectively

연구분야

  • Dynamic Surface Control – Robust nonlinear control technique; Bongsob Song and Karl Hedrick, Dynamic Surface Control of Uncertain Nonlinear Control, published by Springer in 2011.
  • Sensor fusion for ADAS – Sensor fusion architecture and technique for sensor fusion of commercial radar and vision sensors; funded by HMC from 2009 to present.
  • Maneuver intention – Decision of cut-in of vehicles and crossing of pedestrians; Integrated decision of model-based and data-driven approaches, funded by HMC from 2015 to present.
  • Bank observers – Sensor health monitoring for Deep Learning; recently collaborated with SAIT

관심분야

  • Sensor Fusion, Decision for Fallback in Automated Driving, Functional Safety in Autonomous Driving

연구 개발 경력

  • Dynamic Surface Control – Robust nonlinear control technique; Bongsob Song and Karl Hedrick, Dynamic Surface Control of Uncertain Nonlinear Control, published by Springer in 2011.
  • Sensor fusion for ADAS – Sensor fusion architecture and technique for sensor fusion of commercial radar and vision sensors; funded by HMC from 2009 to present.
  • Maneuver intention – Decision of cut-in of vehicles and crossing of pedestrians; Integrated decision of model-based and data-driven approaches, funded by HMC from 2015 to present.
  • Bank observers – Sensor health monitoring for Deep Learning; recently collaborated with SAIT