Registered Data

[01888] UAV Tracking and Targeting using YOLO with Enhanced Prior

  • Session Time & Room : 5D (Aug.25, 15:30-17:10) @D515
  • Type : Contributed Talk
  • Abstract : Unmanned Aerial Vehicles defense becomes a hot topic due to the ongoing Ukraine-Russia War and China’s constant threats to Taiwan. Drones tracking and countermeasures inevitably play a crucial role in future warfare. Here, we propose a feature-enhanced Yolo network to improve the accuracy of detection and tracking for small moving objects. Multi-cores, multi-threads and field programming logic array combined with Kalman filtering are used to speed up our algorithm on edge devices such as cellphones.
  • Classification : 93C10, 93E11, 68T45
  • Format : Talk at Waseda University
  • Author(s) :
    • Pink-Kong Huang (National Yang-Ming Chiao-Tung University)
    • Yu-Shi Chen (National Yang-Ming Chiao-Tung University)
    • Cho-Han Wu (Via Technologies Inc.)
    • Chin-Tien Wu (National Yang-Ming Chiao-Tung University)