A comprehensive review for typical applications based upon unmanned aerial vehicle platform
Unmanned aerial vehicles (UAVs) have been widely applied in military and civilian fields
due to their flexibility and effectiveness. As a vital component of UAVs, the vision system has …
due to their flexibility and effectiveness. As a vital component of UAVs, the vision system has …
Intellicise wireless networks from semantic communications: A survey, research issues, and challenges
Information and communication technology (ICT) has been an essential part of modern
society. However, the current communication systems are not sufficient to meet the demands …
society. However, the current communication systems are not sufficient to meet the demands …
AI-enabled UAV communications: Challenges and future directions
Recently, unmanned aerial vehicles (UAVs) communications gained significant
concentration as a talented technology for future wireless communications using its …
concentration as a talented technology for future wireless communications using its …
Uavformer: A composite transformer network for urban scene segmentation of uav images
S Yi, X Liu, J Li, L Chen - Pattern Recognition, 2023 - Elsevier
Urban scenes segmentation based on UAV (Unmanned aerial vehicle) view is a
fundamental task for the applications of smart city such as city planning, land use monitoring …
fundamental task for the applications of smart city such as city planning, land use monitoring …
Viewpoint and scale consistency reinforcement for UAV vehicle re-identification
This paper studies vehicle ReID in aerial videos taken by Unmanned Aerial Vehicles
(UAVs). Compared with existing vehicle ReID tasks performed with fixed surveillance …
(UAVs). Compared with existing vehicle ReID tasks performed with fixed surveillance …
DeepRivWidth: Deep learning based semantic segmentation approach for river identification and width measurement in SAR images of Coastal Karnataka
River width is an essential parameter for studying the river's hydrological process and has
been widely used to estimate the river discharge. The existing approaches to measuring …
been widely used to estimate the river discharge. The existing approaches to measuring …
[PDF][PDF] 移动机器人视觉SLAM 回环检测原理, 现状及趋势
杨雪梅， 李帅永 - 电子测量与仪器学报, 2022 - jemi.cnjournals.com
近年来, 视觉SLAM 以结构简单, 成本低, 可结合语义信息等优势得到广泛关注.
回环检测在其中发挥着重要的作用. 根据获得的回环信息, 视觉SLAM 后端优化算法便可以根据 …
回环检测在其中发挥着重要的作用. 根据获得的回环信息, 视觉SLAM 后端优化算法便可以根据 …
Uvid-net: Enhanced semantic segmentation of uav aerial videos by embedding temporal information
Semantic segmentation of aerial videos has been extensively used for decision making in
monitoring environmental changes, urban planning, and disaster management. The …
monitoring environmental changes, urban planning, and disaster management. The …
Integrating remote sensing and street view images to quantify urban forest ecosystem services
E Barbierato, I Bernetti, I Capecchi, C Saragosa - Remote sensing, 2020 - mdpi.com
There is an urgent need for holistic tools to assess the health impacts of climate change
mitigation and adaptation policies relating to increasing public green spaces. Urban …
mitigation and adaptation policies relating to increasing public green spaces. Urban …
Methods and datasets on semantic segmentation for Unmanned Aerial Vehicle remote sensing images: A review
Abstract Unmanned Aerial Vehicle (UAV) has seen a dramatic rise in popularity for remote-
sensing image acquisition and analysis in recent years. It has brought promising results in …
sensing image acquisition and analysis in recent years. It has brought promising results in …