Unmanned Aerial Vehicles have proven to be helpful in domains like defence and
agriculture and will play a vital role in implementing smart cities in the upcoming years …

Recent advances in camera equipped drone applications and their widespread use
increased the demand on vision based object detection algorithms for aerial images. Object …

Object detection acts as an essential part in a wide range of measurement systems in traffic
management, urban planning, defense, agriculture, and so on. Convolutional Neural …

Due to the rapid development of deep learning, the performance of object detection has
greatly improved. However, object detection in high-resolution Unmanned Aerial Vehicles …

Object detection in unmanned aerial vehicle (UAV) images is an important and challenging
task for many applications, which often needs highly efficient detection algorithms to meet …

Object detection has a key application in the field of UAV aerial photography, and its
research is of great significance for the expansion of unmanned aerial vehicles (UAVs) …

With the rapid development of object detection technology for unmanned aerial vehicles
(UAVs), it is convenient to collect data from UAV aerial photographs. They have a wide …

Deep learning-based object detection solutions emerged from computer vision has
captivated full attention in recent years. The growing UAV market trends and interest in …

Abstract Unmanned Aerial Vehicles (UAVs) especially drones, equipped with vision
techniques have become very popular in recent years, with their extensive use in wide …

Recent advances in robotics and computer vision fields yield emerging new applications for
camera equipped drones. One such application is aerial-based object detection. However …