Robotics Research Lab


Songlin Piao was born on 8th July 1985. He received his bachelor degree in the area of computer science and technology from Shanghai Jiao Tong University in Feburary 2009. From October 2005 to December 2006 he studied in Saarland University in Germany as an exchange student. He has also received a master's degree from Hanyang University South Korea in the department of electrical and computer engineering in February 2011. Songlin was working in the image engineering lab during his master period. The research interests includes computer vision, software engineering, object tracking especially using particle filters. He is now involved in the projects, which focus on solving safety issue around commercial vehicles using computer vision algorithms. He is responsible for Autonomous Low Speed Tractor and AsiMAT projects.


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  • Research on eclipse based media art authoring tool for the media artist.
    Songlin Piao, Jae-Ho Kwak and Whoi-Yul Kim
    Proceedings of the 9th international conference on Entertainment computing, S. 342 - 349. (2010)
  • Multi-Object Tracking Based on Tracking-Learning-Detection Framework.
    Songlin Piao and Karsten Berns
    Field and Assistive Robotics - Advances in Systems and Algorithms, S. 74 - 87. (2014)
  • Vision Based Person Detection for Safe Navigation of Commercial Vehicle.
    Songlin Piao and Karsten Berns
    Proceedings of the 13the International Conference on Intelligent Autonomous Systems (IAS-13), (2014-July 15-19)
  • Adaptive Particle Filter based on the Kurtosis of Distribution.
    Songlin Piao and Hanyang University, Graduate School
  • Adaptive sampling based on the motion.
    Songlin Piao and Whoi-Yul Kim
    2010 International Conference on Modeling, Simulation and Control, S. 336 - 340. (2010)
  • Virtual Development on Mixed Abstraction Levels. an Agricultural Vehicle Case Study.
    Matthias Jung, Songlin Piao, Thiyagarajan, Purusothaman, Xiao Pan, Thomas Kuhn, Christoph Grimm, Karsten Berns and Norbert Wehn
    Synopsys Users Group(SNUG) Germany 2015, (2015)
  • Real-time multi-platform pedestrian detection in a heavy duty driver assistance system.
    Songlin Piao, Lisa Kiekbusch, Daniel Schmidt, Karsten Berns, Daniel Hering, Stefan Wirtz, Nils Hering and Jürgen Weiland
    Commercial Vehicle Technology 2016 – Proceedings of the Commercial Vehicle Technology Symposium (CVT 2016), S. 61 - 70. (2016-March 8-10)
  • Safeguarding of Commercial Vehicle for Autonomous Mode.
    Songlin Piao, Syed Mehdi, Karsten Berns, Uwe Vollmar and Kilian Wolff
    Commercial Vehicle Technology 2016 – Proceedings of the Commercial Vehicle Technology Symposium (CVT 2016), (2016)
  • Compact Data Association in Multiple Object Tracking. Pedestrian Tracking on Mobile Vehicle as Case Study.
    Songlin Piao, Tanittha Sutjaritvorakul and Karsten Berns
    9th IFAC Symposium on Intelligent Autonomous Vehicles, (2016)


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