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Model-based Object Detection

Model-based Object Detection for Navigation
  • Researchers
    • Tae-Bum Kwon (Ph.D.
  • Period of research
    • 2006. 10. ~ 2007. 7.
  • Research Background
    • Some objects such as chairs, tables, etc. can be exploited as a landmark or goal position.
    • A robot should avoid collision with other objects.
    • Object detection with only a range sensor is very difficult.
    • The model information and vision sensor data can help a robot detect an object.
  • Research Objectives
    • Model-based object detection using both vision and range sensors or using only a vision sensor.
    • Obstacle avoidance through object detection.
    • Landmark-based localization through object detection.
  • Research Output

  • Demo Movies

  • Paper 1 :  Tae-Bum Kwon, Jae-Bok Song, Munsang Kim, Table Recognition through Range-based Candidate Generation and Vision-based Candidate Evaluation, Proc. of Int. Conf. on Advanced Robotics, pp.918-923, 2007.10.  
  • Paper 2 :  Tae-Bum Kwon, Jae-Bok Song, Recognition of Objects with Legs Using Vision-based Candidate Generation and Evaluation, Proc. of Int. Conf. on Ubiquitous Robots and Ambient Intelligence, pp. 264-269, 2007.11.  

* Last updated: 2012. 4. 30