NPE-DRL: Enhancing Perception-Constrained Obstacle Avoidance with Nonexpert Policy-Guided Reinforcement Learning

Engineering, Aerospace Engineering, Information Science, Computer Science, Artificial Intelligence,
UAVs   Obstacle avoidance   Deep reinforcement learning   Nonexpert policy   Perception-constrained   Sample efficiency   Monocular vision  

Research on Improving UAV Obstacle Avoidance in Vision-Constrained Environments Based on Nonexpert Policy Reinforcement Learning In recent years, unmanned aerial vehicles (UAVs) have gained widespread application in civilian fields such as package delivery, risk assessment, and emergency rescue, owing to their superior maneuverability and versatili...

Satellite-Assisted 6G Wide-Area Edge Intelligence: Dynamics-Aware Task Offloading and Resource Allocation for Remote IoT Services

Satellite-Assisted 6G Wide-Area Edge Intelligence: Dynamics-Aware Task Offloading and Resource Allocation for Remote IoT Services

Engineering, Aerospace Engineering, Information Science, Electronic Information, Computer Science, Artificial Intelligence,
satellite communication   6G networks   task offloading   resource allocation   deep reinforcement learning   edge computing   spatio-temporal dynamics  

Satellite-Assisted 6G Wide-Area Edge Intelligence: Dynamics-Aware Task Offloading and Resource Allocation for Remote IoT Services Background Introduction With the advent of the 6G mobile communication network, the traditional Internet of Things (IoT) architecture is gradually transforming into the new paradigm of the intelligent Internet of Everyth...

From Behavior to Natural Language: Generative Approach for UAV Intent Recognition

Engineering, Aerospace Engineering, Information Science, Computer Science, Artificial Intelligence,
UAV   intent recognition   generative model   cross-modal   time series   deep learning   confrontation environment  

UAV Behavior Intent Recognition Based on Generative Models: A Cross-Modal Study From Behavior to Natural Language Background and Research Objectives In recent years, Unmanned Aerial Vehicle (UAV) technology has advanced rapidly and has found widespread applications in civilian and military domains, including search and rescue, precision agriculture...

Enhancing Aerial Object Detection with Selective Frequency Interaction Network

Engineering, Aerospace Engineering, Information Science, Computer Science, Artificial Intelligence,
aerial object detection   frequency-domain features   selective frequency interaction   convolutional neural networks   feature extraction   deep learning   computer vision  

Selective Frequency Interaction Network for Improved Aerial Object Detection Background and Problem Statement With the advancements in computer vision, aerial object detection has become a critical research focus in remote sensing. This task aims to identify targets such as vehicles or buildings from aerial images captured at varying angles and alt...