학술논문
Dynamic localization of mobile robot based on triangulation centroid estimation
Document Type
Conference
Author
Source
2017 29th Chinese Control And Decision Conference (CCDC) Control And Decision Conference (CCDC), 2017 29th Chinese. :3544-3549 May, 2017
Subject
Language
ISSN
1948-9447
Abstract
According to the inbuilding disaster rescue system failure in network blind spots, a self-dynamic localization system of mobile robot, which can dynamically choose beacon node and determine centroid of intersection based on circles of three beacon nodes, was proposed. This method can apply Received Signal Strength Indication (RSSI) for distance measurement. Geometric Contraints-based Triangle Centroid Estimation (GCTCE) fulfilled the localization. Kalman filter was integrated with the proposed localization to realize the error-correct. The errors caused by the interference of the environmental noises can be minimized efficiently. Especially in network blind spots, the Kalman filter provides optimal data. Simulation and experimental results showed the accuracy and adaptivity of the self-dynamic localization of mobile robots.