[HTML][HTML] Autonomous UAV Navigation using Deep Learning-Based Computer Vision Frameworks: A Systematic Literature Review
The increasing use of unmanned aerial vehicles (UAVs) in both military and civilian
applications, such as infrastructure inspection, package delivery, and recreational activities …
applications, such as infrastructure inspection, package delivery, and recreational activities …
Comprehensive Investigation of Unmanned Aerial Vehicles (UAVs): An In-Depth Analysis of Avionics Systems
The evolving technologies regarding Unmanned Aerial Vehicles (UAVs) have led to their
extended applicability in diverse domains, including surveillance, commerce, military, and …
extended applicability in diverse domains, including surveillance, commerce, military, and …
Deep Reinforcement Learning Tf-Agent-Based Object Tracking with Virtual Autonomous Drone in a Game Engine
The recent development of object-tracking frameworks has affected the performance of
many manufacturing and industrial services such as product delivery, autonomous driving …
many manufacturing and industrial services such as product delivery, autonomous driving …
Learning-based navigation and collision avoidance through reinforcement for UAVs
R Azzam, M Chehadeh, OA Hay… - … on Aerospace and …, 2023 - ieeexplore.ieee.org
Reinforcement learning (RL) has been proven to enable the automation of tasks involving
complex sequential decision-making. The simulation to reality (sim2real) gap, however …
complex sequential decision-making. The simulation to reality (sim2real) gap, however …
Data-Driven Switching Control Technique based on Deep Reinforcement Learning for Packed E-Cell as Smart EV Charger
M Gheisarnejad, A Fathollahi… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Among Hybrid Multilevel Rectifiers (HMRs), Packed E-Cell appeared as an interesting
topology due to the generation of nine-level voltage with minimum active/passive devices …
topology due to the generation of nine-level voltage with minimum active/passive devices …
UAV Multi-Dynamic Target Interception: A Hybrid Intelligent Method Using Deep Reinforcement Learning and Fuzzy Logic
B Xia, I Mantegh, W Xie - Drones, 2024 - mdpi.com
With the rapid development of Artificial Intelligence, AI-enabled Uncrewed Aerial Vehicles
have garnered extensive attention since they offer an accessible and cost-effective solution …
have garnered extensive attention since they offer an accessible and cost-effective solution …
基于深度强化学习的无人机虚拟管道视觉避障
赵静， 裴子楠， 姜斌， 陆宁云， 赵斐， 陈树峰 - 自动化学报, 2024 - aas.net.cn
针对虚拟管道下的无人机自主避障问题, 提出一种基于视觉传感器的自主学习架构.
通过引入新颖的奖励函数, 设计了一种端到端的深度强化学习控制策略. 融合卷积神经网络和 …
通过引入新颖的奖励函数, 设计了一种端到端的深度强化学习控制策略. 融合卷积神经网络和 …
Vision-Based UAV Detection and Localization to Indoor Positioning System
In recent years, the technological landscape has undergone a profound metamorphosis
catalyzed by the widespread integration of drones across diverse sectors. Essential to the …
catalyzed by the widespread integration of drones across diverse sectors. Essential to the …
RLoPlanner: Combining Learning and Motion Planner for UAV Safe Navigation in Cluttered Unknown Environments
Y Xue, W Chen - IEEE Transactions on Vehicular Technology, 2023 - ieeexplore.ieee.org
In this paper, we propose a hierarchical navigation framework named RLoPlanner that
combines deep reinforcement learning algorithms and local motion planners, allowing …
combines deep reinforcement learning algorithms and local motion planners, allowing …
AI-powered vision-aided navigation and ground obstacles detection for UAM approach and landing
This paper describes a vision-aided navigation and ground obstacle detection pipeline for
highly autonomous Vertical Take-Off and Landing aircraft in Urban Air Mobility scenarios …
highly autonomous Vertical Take-Off and Landing aircraft in Urban Air Mobility scenarios …