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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/108538

    Title: Data Association of Aerial Robot Monocular Simultaneous Localization and Mapping
    Authors: Yin-Tien Wang;Chung-Hsun Sun;Ting-Wei Chen;Chen-Tung Chi
    Keywords: visual simultaneous localization and mapping (vSLAM);image depth parameterization;data association;map management
    Date: 2016-09-22
    Issue Date: 2016-11-26 02:11:13 (UTC+8)
    Publisher: MYU K.K.
    Abstract: This paper presents an algorithm for data association for the visual navigation of aerial robots.The major objective is to provide the aerial robot with the capabilities of localization and mappingin global positioning system (GPS) denied environments. The visual sensor system could measureinformation for robot state estimation and environmental mapping as the aerial robot navigates in aGPS-denied environment. Only one single camera was used to reduce the load on the aerial robot.The captured image was transmitted to a personal computer for image processing using a radiofrequency transmitter. In this study, an efficient data association method based on fuzzy rules wasdeveloped to determine the robust landmarks for robot mapping. An ultrasonic sensor was designedto provide distance measurements and to solve the map scale determination problem of monocularvision. The software program of the robot navigation system was developed on a windows-basedpersonal computer. The navigation system integrated the visual sensor, the algorithm for dataassociation, and the state estimator. The integrated system was used to carry out simultaneouslocalization and mapping for aerial robots.
    Relation: Sensors and Materials 28(9), p.1013-1021
    DOI: 10.18494/SAM.2016.1263
    Appears in Collections:[Graduate Institute & Department of Mechanical and Electro-Mechanical Engineering] Journal Article

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