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This paper presents a new robot-vision system architecture for real-time moving object localization.
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The WSN-based indoor moving target localization system contains several ANs and a moving node (MN).
MN has robustness against moving objects since localization and control are performed by using only ambient magnetic field.
The authors introduce a novel laser range finder based partially observable moving object tracking and self-localization algorithm for interactive robot applications.
Therefore, this paper presents a novel laser range finder based partially observable moving object tracking and self-localization algorithm for interactive robot applications.
The speed threshold is dependent on the moving object and the location of the moving object.
This article presents an algorithm for moving object detection (MOD) in robot visual simultaneous localization and mapping (SLAM).
In the second stage, which is the main localization stage, the difference distances between the moving object and the anchors can be obtained using a OneBeep ranging system.
In recent years, more and more researchers solve the simultaneous localization and mapping (SLAM) as well as the moving object tracking (MOT) problems concurrently.
Tseng et al. present an algorithm for self-localization and stream field based partially observable moving object tracking.
(a) Localization and (b) velocity errors of the D-GPS referenced moving object.
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