In recent decades, scientific and technological developments have continued to increase in
speed, with researchers focusing not only on the innovation of single technologies but also …

Abstract Unmanned Aerial Vehicles (UAVs) have become increasingly popular in recent
years, with a wide range of applications in areas such as surveying, delivery, and security …

Accurate and timely access to data describing disaster impact and extent of damage is key
to successful disaster management (a process that includes prevention, mitigation …

abstract Unmanned Aerial Vehicles (UAVs) have become increasingly popular in recent
years, with a wide range of applications in areas such as surveying, delivery, and security …

Automatic car extraction (ACE) from high-resolution airborne imagery (ie, true-orthophoto)
has been a hot research topic in the field of photogrammetry and machine learning. ACE …

Electric companies face flow control and inventory obstacles such as reliability, outlays, and
time-consuming tasks. Convolutional Neural Networks (CNNs) combined with computational …

Object detection is increasingly used onboard Unmanned Aerial Vehicles (UAV) for various
applications; however, the machine learning (ML) models for UAV-based detection are often …

The use of artificial intelligence solutions for Army field applications will rely heavily on
machine learning (ML) algorithms. Current ML algorithms need large amounts of mission …

Facing the image detection of dense small rigid targets, the main bottleneck of convolutional
neural network (CNN)-based algorithms is the lack of massive correctly labeled training …

Visual odometry has gained increasing attention due to the proliferation of unmanned aerial
vehicles, self-driving cars, and other autonomous robotics systems. Landmark detection and …