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- W2548572575 abstract "Resilient localization and navigation for autonomous Unmanned Aerial Vehicles (UAVs) still remains a challenge in certain scenarios, like GPS-deprived environments such as indoors or urban canyons. In this work, we explore a heterogeneous UAV swarm design, in which a small number of sensor and computationally powerful UAVs collaborate with the remaining resource-constrained UAVs to guarantee optimal localization accuracy." @default.
- W2548572575 created "2016-11-11" @default.
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- W2548572575 date "2016-11-14" @default.
- W2548572575 modified "2023-10-13" @default.
- W2548572575 title "Collaborative Localization and Navigation in Heterogeneous UAV swarms" @default.
- W2548572575 cites W2038445360 @default.
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- W2548572575 doi "https://doi.org/10.1145/2994551.2996544" @default.
- W2548572575 hasPublicationYear "2016" @default.
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