Model-based Object Detection

Model-based Object Detection for Navigation

• Researchers

  • Tae-Bum Kwon (Ph.D. chokr@haksan.dsc.ac.kr)

• 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