Apr 27, 2023 · In this paper, we propose a Lightweight Deep Vision Reinforcement Learning (LDVRL) framework for dynamic object tracking that uses the camera as the only input ...

Apr 20, 2023 · In this paper, we propose a Lightweight Deep Vision Reinforcement Learning (LDVRL) framework for dynamic object tracking that uses the camera as ...

UAV dynamic object tracking with Lightweight Deep Vision Reinforcement Learning. H Nguyen, S Thudumu, H Du, K Mouzakis, R Vasa. Algorithms 16 (5), 227, 2023. 7 ...

Deep learning-based approaches have emerged as the key breakthrough for object detection in computer vision and the UAV industries. The state-of-the-art object ...

Sens. 2020. This paper combines deep reinforcement learning (DRL) with meta-learning and proposes a novel approach, ...

On-board electro-optical devices (e.g., on-board cameras), with their small sizes and light weights, are now widely used in UAVs, especially reconnaissance UAVs ...

In this paper, a vision-based approach using deep learning is proposed. In addition to detection and tracking, the approach also assesses the ... [Show full ...

Missing: Reinforcement | Show results with:Reinforcement

This paper provides a comprehensive survey on the research progress and prospects of DL-based UAV object detection and tracking methods.

In this paper, a distributed deep reinforcement learning algorithm based on Proximal Policy Optimization (PPO) is proposed for an unmanned aerial vehicle (UAV) ...