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Showing 1 to 2 of 2 for “"Unmanned Aerial Vehicle Navigation"”.

  1. Map-Based Localization for Unmanned Aerial Vehicle Navigation

    Unmanned Aerial Vehicles (UAVs) require precise pose estimation when navigating in indoor and GNSS-denied / GNSS-degraded outdoor environments. The possibility of crashing in these environments is high, as spaces are confined, with many moving obstacles. There are many solutions for localization in …

    york Repository record for Map-Based Localization for Unmanned Aerial Vehicle Navigation (opens in a new tab)

  2. Reinforcement Learning with Gaussian Processes for Unmanned Aerial Vehicle Navigation

    … the problem of Reinforcement Learning (RL) for Unmanned Aerial Vehicle (UAV) navigation with the smallest number of real world samples possible. This work is motivated by applications of learning autonomous navigation for aerial robots in structural inspec- tion. A naive RL implementation …

    vt Repository record for Reinforcement Learning with Gaussian Processes for Unmanned Aerial Vehicle Navigation (opens in a new tab)