Real-time object detection based on uav remote sensing: A systematic literature review
Real-time object detection based on UAV remote sensing is widely required in different
scenarios. In the past 20 years, with the development of unmanned aerial vehicles (UAV) …
scenarios. In the past 20 years, with the development of unmanned aerial vehicles (UAV) …
UAV sensor data applications with deep neural networks: a comprehensive survey
Abstract The use of Unmanned Aerial Vehicles (UAVs) has become increasingly popular in
recent years, leading to a surge in research on this topic that is widely represented in the …
recent years, leading to a surge in research on this topic that is widely represented in the …
Smart cybersecurity framework for IoT-empowered drones: Machine learning perspective
Drone advancements have ushered in new trends and possibilities in a variety of sectors,
particularly for small-sized drones. Drones provide navigational interlocation services, which …
particularly for small-sized drones. Drones provide navigational interlocation services, which …
A novel GAN-based anomaly detection and localization method for aerial video surveillance at low altitude
The last two decades have seen an incessant growth in the use of Unmanned Aerial
Vehicles (UAVs) equipped with HD cameras for develo** aerial vision-based systems to …
Vehicles (UAVs) equipped with HD cameras for develo** aerial vision-based systems to …
A Comprehensive Survey of Machine Learning Methods for Surveillance Videos Anomaly Detection
Video Surveillance Systems (VSSs) are used in a wide range of applications including
public safety and perimeter security. They are deployed in places such as markets …
public safety and perimeter security. They are deployed in places such as markets …
Sm3det: A unified model for multi-modal remote sensing object detection
With the rapid advancement of remote sensing technology, high-resolution multi-modal
imagery is now more widely accessible. Conventional Object detection models are trained …
imagery is now more widely accessible. Conventional Object detection models are trained …
Unmanned aerial vehicle-based computer vision for structural vibration measurement and condition assessment: A concise survey
With the rapid advance in camera sensor technology, the acquisition of high-resolution
images or videos has become extremely convenient and cost-effective. Computer vision that …
images or videos has become extremely convenient and cost-effective. Computer vision that …
Learning a multi-cluster memory prototype for unsupervised video anomaly detection
In recent years, there has been rapid development in video anomaly detection (VAD). The
previous methods ignored the differences between normal videos and only emphasized …
previous methods ignored the differences between normal videos and only emphasized …
Efficient CNN-based disaster events classification using UAV-aided images for emergency response application
Natural disasters can be unpredictable and catastrophic. Even after the event, the
repercussions are prolonged due to the incompetence of disaster management strategies …
repercussions are prolonged due to the incompetence of disaster management strategies …
Self-calibrating anomaly and change detection for autonomous inspection robots
Automatic detection of visual anomalies and changes in the environment has been a topic of
recurrent attention in the fields of machine learning and computer vision over the past …
recurrent attention in the fields of machine learning and computer vision over the past …