Autonomous drone hunter operating by deep learning and all-onboard computations in GPS-denied environments

This paper proposes a UAV platform that autonomously detects, hunts, and takes down other small UAVs in GPS-denied environments. The platform detects, tracks, and follows another drone within its sensor range using a pre-trained machine learning model. We collect and generate a 58,647-image dataset...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:PLoS One
Päätekijät: Wyder, Philippe Martin, Chen, Yan-Song, Lasrado, Adrian J., Pelles, Rafael J., Kwiatkowski, Robert, Comas, Edith O. A., Kennedy, Richard, Mangla, Arjun, Huang, Zixi, Hu, Xiaotian, Xiong, Zhiyao, Aharoni, Tomer, Chuang, Tzu-Chan, Lipson, Hod
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Public Library of Science 2019
Aiheet:
Research Article
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC6860441/
https://ncbi.nlm.nih.gov/pubmed/31738785
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0225092
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