Object detection is a common application within the computer vision area. Its tasks include
the classic challenges of object localization and classification. As a consequence, object …

Maritime surveillance for intruders/illegal activities requires monitoring of a large area of the
coastline. This task being manually exhaustive, would benefit immensely by application of …

When processing the detection of boats in aerial images by neural networks, we have
always been concerned about the execution time of these networks in the equipment on …

In this paper, we address the geolocation problem of a target on the ground from aerial
images captured by the drone camera. We propose a new approach named CGA (Color …

This paper addresses the crucial challenge of optimizing battery management for electric
Unmanned Aerial Vehicles (UAVs), with a specific focus on 18650 lithium-ion (Li-Ion) …

The development of object detection algorithms utilizing convolutional neural networks
(CNNs) has led to the proliferation of these methods in daily life, from autonomous vehicles …

In this article, we focus on boat real-time detection in aerial images taken by UAVs
Unmanned Aerial Vehicles. Several methods dealing with this problem are based on …

This article describes a Network Architecture Search (NAS) method based on an
evolutionary algorithm. It applies constraints in the search space to find architectures …