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A Mobile Robot Localization via Indoor Fixed Remote Surveillance Cameras
1Department of Mechatronics Engineering, Korea Polytechnic University, Si-Heung, Gyunggi-do 429-793, Korea. jhshim@kpu.ac.kr.
Sensors (Basel, Switzerland)
|February 11, 2016
Summary
This study introduces a cost-effective indoor robot localization method using surveillance cameras. By creating a 2D map from multiple camera views, robots can accurately determine their position, simplifying development.
Area of Science:
- Robotics
- Computer Vision
- Indoor Navigation
Background:
- Indoor robot localization is crucial for service robots.
- Current localization methods often require expensive equipment and complex robot development.
- Reducing internal hardware costs simplifies robot design and implementation.
Purpose of the Study:
- To propose an effective robot localization method using indoor surveillance cameras.
- To reduce the cost and complexity of robot localization systems.
- To enable robot control through accurate indoor positioning.
Main Methods:
- Constructing a two-dimensional map using visual information from multiple surveillance cameras.
- Modeling camera field-of-coverage edges and using image processing to find object centers.
- Utilizing a multi-camera setup to overcome occlusion issues and enhance location estimation.
Main Results:
- Demonstrated an effective method for robot localization using a camera-generated 2D map.
- Successfully obtained robot location information for control purposes.
- The multi-camera setup's accuracy was pre-measured and validated.
Conclusions:
- The proposed method offers a cost-effective and simplified approach to indoor robot localization.
- Utilizing existing surveillance camera infrastructure can enhance robot navigation capabilities.
- This technique facilitates easier integration and development of service robots for indoor environments.
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