Jan 12, 2024 · APPA-3D can effectively guide the UAV to plan a safe and collision-free path from the starting point to the target point in an unknown complex 3D environment.

Dec 9, 2023 · Parrot AR drone real test. A Vision Based Deep Reinforcement Learning Algorithm for UAV Obstacle Avoidance, 2021; Deep-Reinforcement-Learning-Based Autonomous ...

Jan 2, 2024 · ... target drone with object detection and deep reinforcement learning [125] . ... Scaramuzza, “Autonomous drone racing with deep reinforcement learning,” in ...

Nov 22, 2023 · Currently, obstacle avoidance systems for quadrotor UAVs in dynamic environments typically ap- ply DATMO [44] for dynamic obstacle perception, followed by the ...

Jan 4, 2024 · This work presents two deep reinforcement learning approaches for training decentralized controllers that accommodate the high dimensionality and uncertainty ...

Jan 22, 2024 · Autonomous navigation of UAV in multi-obstacle environments based on a deep reinforcement learning approach. Appl. Soft. Comput. 115:108194. 10.1016/j.asoc ...

Jul 15, 2024 · The vision system utilizes machine learning-based object detection for ... Autonomous Vision-based UAV Landing with Collision Avoidance using Deep Learning.

May 10, 2024 · Deep learning, in particular, has gained significant traction in machine vision for its capabilities in object detection, tracking [7] , and depth estimation [8] ...

Oct 18, 2023 · ... Autonomous uav navigation: A ddpg-based deep reinforcement learning approach. ... reinforcement learning approach for multi-uav collision avoidance under ...

Jul 2, 2024 · Vision-based Distributed Multi-UAV Collision Avoidance via Deep Reinforcement Learning for Navigation. Huaxing Huang, Guijie Zhu, Zhun Fan, Hao Zhai, Yuwei ...