Unmanned Aerial Vehicle

Unmanned Aerial Vehicles (UAVs), or drones, are increasingly used for diverse applications, driving research focused on improving their autonomy, safety, and efficiency. Current research emphasizes robust navigation and control in complex environments, employing techniques like nonlinear model predictive control and advanced search algorithms for path planning, often coupled with deep learning models (e.g., YOLO, U-Net) for perception and object detection. These advancements are crucial for expanding UAV capabilities in sectors such as agriculture, search and rescue, and infrastructure monitoring, while also addressing critical concerns like security and reliable operation in challenging conditions (e.g., GPS-denied environments, harsh weather).

Papers

June 25, 2023

A Novel Dual-pooling Attention Module for UAV Vehicle Re-identification
Xiaoyan Guo, Jie Yang, Xinyu Jia, Chuanyan Zang, Yan Xu, Zhaoyang Chen
Unmanned Aerial Vehicle Attention Based Pooling Vehicle Image

June 21, 2023

Decentralized Aerial Transportation and Manipulation of a Cable-Slung Payload With Swarm of Agents
Aniket Sharma, Nandan K Sinha
Unmanned Aerial Vehicle Agent Smith Strategic Manipulation Aerial Vehicle Decentralized Control Autonomous Aerial Cable Suspended

June 20, 2023

June 15, 2023

Joint Path planning and Power Allocation of a Cellular-Connected UAV using Apprenticeship Learning via Deep Inverse Reinforcement Learning
Alireza Shamsoshoara, Fatemeh Lotfi, Sajad Mousavi, Fatemeh Afghah, Ismail Guvenc
Unmanned Aerial Vehicle Q Learning Inverse Reinforcement Learning Power Allocation Apprenticeship Learning Deep Inverse Reinforcement Learning Joint Motion Planning

June 14, 2023

Density-Aware Reinforcement Learning to Optimise Energy Efficiency in UAV-Assisted Networks
Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
Multi Agent Reinforcement Learning Unmanned Aerial Vehicle Network Programming Energy Efficiency Multiple Unmanned Aerial Vehicle

June 8, 2023

June 3, 2023

Model-aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks
Jichao Chen, Omid Esrafilian, Harald Bayerlein, David Gesbert, Marco Caccamo
Multi Agent Reinforcement Learning Unmanned Aerial Vehicle Internet of Thing Network Federated Reinforcement Learning Multiple Unmanned Aerial Vehicle Multi UAV Autonomous Micro Aerial Vehicle

June 2, 2023

Energy-Efficient UAV-Assisted IoT Data Collection via TSP-Based Solution Space Reduction
Sivaram Krishnan, Mahyar Nemati, Seng W. Loke, Jihong Park, Jinho Choi
Unmanned Aerial Vehicle Traveling Salesman Problem Internet of Thing Data Solution Space Processing Pipeline

May 31, 2023

A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehicles
Michaël Fonder, Marc Van Droogenbroeck
Unmanned Aerial Vehicle Depth Estimation Uncertainty Estimation Barzilai Borwein Technique Large Depth Multi View Depth Depth Anything

May 25, 2023

May 23, 2023

Autonomous Control for Orographic Soaring of Fixed-Wing UAVs
Tom Suys, Sunyou Hwang, Guido C. H. E. de Croon, Bart D. W. Remes
Unmanned Aerial Vehicle Various Fast Moving Drone Autonomous Control Model Gradient Fixed Wing Robust Flight Position Control

May 22, 2023

Optimality Principles in Spacecraft Neural Guidance and Control
Dario Izzo, Emmanuel Blazquez, Robin Ferede, Sebastien Origer, Christophe De Wagter, Guido C. H. E. de Croon
Unmanned Aerial Vehicle External Control Real Robotic Platform Optimality Criterion Exploration Mission

May 21, 2023

May 19, 2023

A Secure and Robust Approach for Distance-Based Mutual Positioning of Unmanned Aerial Vehicles
Bin Han, Hans D. Schotten
Unmanned Aerial Vehicle Robust Framework Multi Drone Mutual Localization

May 15, 2023

Exploration of unknown indoor regions by a swarm of energy-constrained drones
Ori Rappel, Joseph Z. Ben-Asher, Alfred M. Bruckstein
Unmanned Aerial Vehicle Environment Exploration Single Drone Mobile Agent Unknown Indoor

May 11, 2023

Deep Reinforcement Learning for Interference Management in UAV-based 3D Networks: Potentials and Challenges
Mojtaba Vaezi, Xingqin Lin, Hongliang Zhang, Walid Saad, H. Vincent Poor
Deep Reinforcement Learning Technical Challenge Unmanned Aerial Vehicle Full Potential Catastrophic Interference UAV Network Interference Management

Unmanned Aerial Vehicle

Papers

A Novel Dual-pooling Attention Module for UAV Vehicle Re-identification

Decentralized Aerial Transportation and Manipulation of a Cable-Slung Payload With Swarm of Agents

Time-Optimal Path Planning in a Constant Wind for Uncrewed Aerial Vehicles using Dubins Set Classification

CoNi-MPC: Cooperative Non-inertial Frame Based Model Predictive Control

Joint Path planning and Power Allocation of a Cellular-Connected UAV using Apprenticeship Learning via Deep Inverse Reinforcement Learning

Density-Aware Reinforcement Learning to Optimise Energy Efficiency in UAV-Assisted Networks

AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs

A review of UAV Visual Detection and Tracking Methods

Model-aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks

Energy-Efficient UAV-Assisted IoT Data Collection via TSP-Based Solution Space Reduction

A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehicles

Vision-based Safe Autonomous UAV Docking with Panoramic Sensors

LLHR: Low Latency and High Reliability CNN Distributed Inference for Resource-Constrained UAV Swarms

Autonomous Control for Orographic Soaring of Fixed-Wing UAVs

Optimality Principles in Spacecraft Neural Guidance and Control

A Reinforcement Learning Approach for Robust Supervisory Control of UAVs Under Disturbances

YOLOv3 with Spatial Pyramid Pooling for Object Detection with Unmanned Aerial Vehicles

A Secure and Robust Approach for Distance-Based Mutual Positioning of Unmanned Aerial Vehicles

Exploration of unknown indoor regions by a swarm of energy-constrained drones

Deep Reinforcement Learning for Interference Management in UAV-based 3D Networks: Potentials and Challenges