Mobile robot self-localization system using single webcam distance measurement technology in indoor environments.

Area of Science:

• Robotics
• Computer Vision
• Indoor Navigation

Background:

• Indoor robot localization is crucial for autonomous systems.
• Existing methods often require expensive hardware or complex setups.
• Leveraging existing surveillance webcams offers a practical alternative.

Purpose of the Study:

• To propose a cost-effective, single-webcam distance measurement technique for indoor robot localization.
• To develop an easy-to-set-up system utilizing readily available components.
• To enable reliable robot navigation in indoor environments without high-resolution cameras or complex algorithms.

Main Methods:

• Development of an Image-Based Distance Measurement System (IBDMS) and a Parallel Lines Distance Measurement System (PLDMS).
• Utilizing a single webcam for distance estimation.
• Employing simple image processing techniques like background subtraction.
• Requiring only a single known-dimension rectangle pattern (e.g., a ground tile) for calibration.

Main Results:

• The proposed method successfully estimates distance using only one webcam.
• The system setup is straightforward, relying on basic patterns.
• Experimental results demonstrate the reliability and effectiveness of the localization technique in indoor settings.
• The method avoids the need for expensive high-resolution webcams and complex pattern recognition.

Conclusions:

• The single-webcam distance measurement technique provides a reliable and effective solution for indoor robot localization.
• The IBDMS and PLDMS offer a low-cost, easily implementable approach.
• This method is suitable for indoor environments where existing webcams can be utilized for robot navigation.