Now showing items 1-5 of 5

    • Collision resilient foldable micro aerial robot 

      Dilaveroğlu, Levent (Bilkent University, 2019-09)
      Collision management strategies are integral part of micro air vehicles for the reliability of their operation. Collision avoidance strategies require enhanced environmental and situational awareness for generating evasive ...
    • Design, fabrication, and soft impact modeling and simulation of a collision-resilient foldable micro quadcopter 

      Abazari, Amirali (Bilkent University, 2022-09)
      Despite the appreciable advancements in mobile robot navigation and obstacle avoidance algorithms using an abundance of sensors and sensor fusion methods, the navigation of moving robots through confined and cluttered ...
    • Relative localization for swarm aerial vehicles 

      Aytekin, Alptuğ; Bağcı, Furkan; Bozdağ, Mustafa; Camuzcu, Nisanur; Duru, Alperen; Elma, Mehmet Saim; Maghsoudi, Amirhossein; Barshan, Billur; Köse, Serdar; Akman, Çağlar (IEEE, 2022-08-29)
      In Unmanned Aerial Vehicle (UAV) swarm formation, it is required that UAVs in the swarm should have the location information of other swarm members and all UAVs should be a part of the decision process. Global Navigation ...
    • Simultaneous localization and mapping for unmanned aerial vehicles 

      Kök, Mehmet (Bilkent University, 2008)
      Most mobile robot applications require the robot to be able to localize itself in an unknown environment without prior information so that the robot can navigate and accomplish tasks. The robot must be able to build a ...
    • YOLODrone+: improved YOLO architecture for object detection in UAV images 

      Şahin, Öykü; Özer, Sedat (IEEE, 2022-08-29)
      The performance of object detection algorithms running on images taken from Unmanned Aerial Vehicles (UAVs) remains limited when compared to the object detection algorithms running on ground taken images. Due to its various ...