GateNet: An Efficient Deep Neural Network Architecture for Gate Perception Using Fish-Eye Camera in Autonomous Drone Racing

Titel:: GateNet: An Efficient Deep Neural Network Architecture for Gate Perception Using Fish-Eye Camera in Autonomous Drone Racing
Dokumenttyp:: Konferenzbeitrag
Autor(en):: Pham, Huy Xuan; Bozcan, Ilker; Sarabakha, Andriy; Haddadin, Sami; Kayacan, Erdal
Kongress- / Buchtitel:: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Jahr:: 2021
Seiten:: 4176-4183
Volltext / DOI:: doi:10.1109/IROS51168.2021.9636207
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