[HTML][HTML] Applications, databases and open computer vision research from drone videos and images: a survey
Analyzing videos and images captured by unmanned aerial vehicles or aerial drones is an
emerging application attracting significant attention from researchers in various areas of …
emerging application attracting significant attention from researchers in various areas of …
Vision meets drones: A challenge
In this paper we present a large-scale visual object detection and tracking benchmark,
named VisDrone2018, aiming at advancing visual understanding tasks on the drone …
named VisDrone2018, aiming at advancing visual understanding tasks on the drone …
Computer vision in autonomous unmanned aerial vehicles—a systematic mapping study
Personal assistant robots provide novel technological solutions in order to monitor people's
activities, helping them in their daily lives. In this sense, unmanned aerial vehicles (UAVs) …
activities, helping them in their daily lives. In this sense, unmanned aerial vehicles (UAVs) …
Applications and challenges in video surveillance via drone: A brief survey
Our society is moving quickly towards smart homes and smart cities, requiring more and
more deployment of Internet of Things (IoT) devices. To achieve smart urbanization …
more deployment of Internet of Things (IoT) devices. To achieve smart urbanization …
Computer vision for autonomous UAV flight safety: An overview and a vision-based safe landing pipeline example
Recent years have seen an unprecedented spread of Unmanned Aerial Vehicles (UAVs, or
“drones”), which are highly useful for both civilian and military applications. Flight safety is a …
“drones”), which are highly useful for both civilian and military applications. Flight safety is a …
Survey of computer vision algorithms and applications for unmanned aerial vehicles
This paper presents a complete review of computer vision algorithms and vision-based
intelligent applications, that are developed in the field of the Unmanned Aerial Vehicles …
intelligent applications, that are developed in the field of the Unmanned Aerial Vehicles …
Drone model classification using convolutional neural network trained on synthetic data
We present a convolutional neural network (CNN) that identifies drone models in real-life
videos. The neural network is trained on synthetic images and tested on a real-life dataset of …
videos. The neural network is trained on synthetic images and tested on a real-life dataset of …
Structure from motion technique for scene detection using autonomous drone navigation
YP Huang, L Sithole, TT Lee - IEEE Transactions on Systems …, 2017 - ieeexplore.ieee.org
A method is presented for scene detection and estimation using high-resolution imagery
acquired through autonomous drone navigation aided with landmark detection and …
acquired through autonomous drone navigation aided with landmark detection and …
Computer vision and image processing: a paper review
V Wiley, T Lucas - International Journal of Artificial Intelligence Research, 2018 - ijair.id
Computer vision has been studied from many persective. It expands from raw data recording
into techniques and ideas combining digital image processing, pattern recognition, machine …
into techniques and ideas combining digital image processing, pattern recognition, machine …
Survey on computer vision for UAVs: Current developments and trends
C Kanellakis, G Nikolakopoulos - Journal of Intelligent & Robotic Systems, 2017 - Springer
During last decade the scientific research on Unmanned Aerial Vehicless (UAVs) increased
spectacularly and led to the design of multiple types of aerial platforms. The major challenge …
spectacularly and led to the design of multiple types of aerial platforms. The major challenge …