Photo from wikipedia
ABSTRACT In this short paper, we study platooning control of drones using only the information from a camera attached to each drone. For this, we adopt real-time objection detection based… Click to show full abstract
ABSTRACT In this short paper, we study platooning control of drones using only the information from a camera attached to each drone. For this, we adopt real-time objection detection based on a deep learning model called YOLO (you only look once). The YOLO object detector continuously estimates the relative position of the drone in front, by which each drone is controlled by a PD (Proportional-Derivative) feedback controller for platooning. The effectiveness of the proposed system is shown by indoor experiments with three drones. GRAPHICAL ABSTRACT
Journal Title: Advanced Robotics
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!