Model-based Object Detection for Navigation
- Tae-Bum Kwon (Ph.D. email@example.com)
- 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.
- 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