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A study on hovering control of small aerial robot by sensing existing floor features

Chinthaka Premachandra, Dang N. H. Thanh, Tomotaka Kimura, Hiroharu Kawanaka

发表年份
2020
引用次数
19

摘要

Since precise self-position estimation is required for autonomous flight of aerial robots, there has been some studies on self-position estimation of indoor aerial robots. In this study, we tackle the self-position estimation problem by mounting a small downward-facing camera on the chassis of an aerial robot. We obtain robot position by sensing the features on the indoor floor. In this work, we used the vertex points (tile corners) where four tiles on a typical tiled floor connected, as an existing feature of the floor. Furthermore, a small lightweight microcontroller is mounted on the robot to perform image processing for the onboard camera. A lightweight image processing algorithm is developed. So, the real-time image processing could be performed by the microcontroller alone which leads to conduct on-board real time tile corner detection. Furthermore, same microcontroller performs control value calculation for flight commanding. The flight commands are implemented based on the detected tile corner information. The above mentioned all devices are mounted on an actual machine, and the effectiveness of the system was investigated.

关键词

RobotMicrocontrollerChassisComputer visionArtificial intelligenceComputer scienceTilePosition (finance)Vertex (graph theory)Feature (linguistics)

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