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- W3118777943 abstract "In this paper, we present a localization system for the use of drone in a remote laboratory. The objective is to allow a drone to inspect remote electronic instruments autonomously, as well as to return to its base and land on a platform for the recharge of its batteries. In addition, the drone should be able to detect the presence of a teacher in the laboratory and to center the human face in the image in order to enable remote student–teacher communication. To achieve the first objective, the localization approach is composed of a monocular simultaneous localization and mapping algorithm, parallel tracking and mapping and an estimation based on the homography transform. For the face-drone servoing, the approach is based on the 3D Candide model. Both approaches work in real time. Quantitative and qualitative experiments are presented that show the robustness of both methods." @default.
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- W3118777943 date "2021-01-01" @default.
- W3118777943 modified "2023-10-12" @default.
- W3118777943 title "Visual localization and servoing for drone use in indoor remote laboratory environment" @default.
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- W3118777943 doi "https://doi.org/10.1007/s00138-020-01161-7" @default.
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