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Mobile Robot Positioning by using Low-Cost Visual Tracking System

Niramon Ruangpayoongsak

Year
2017
Citations
3
Access
Open access

Abstract

This paper presents an application of visual tracking system on mobile robot positioning. The proposed method is verified on a constructed low-cost tracking system consisting of 2 DOF pan-tilt unit, web camera and distance sensor. The motion of pan-tilt joints is realized and controlled by using LQR controller running on microcontroller. Without needs of camera calibration, robot trajectory is tracked by Kalman filter integrating distance information and joint positions. The experimental results demonstrate validity of the proposed positioning technique and the obtained mobile robot trajectory is benchmarked against laser rangefinder positioning. The implemented system can successfully track a mobile robot driving at 14 cm/s.

Keywords

Computer visionArtificial intelligenceComputer scienceKalman filterMobile robotTrajectoryTilt (camera)Tracking systemRobotTracking (education)

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