Deep learning-based object detection in maritime unmanned aerial vehicle imagery: Review and experimental comparisons

C Zhao, RW Liu, J Qu, R Gao - Engineering Applications of Artificial …, 2024 - Elsevier
With the advancement of maritime unmanned aerial vehicles (UAVs) and deep learning
technologies, the application of UAV-based object detection has become increasingly …

Toward a Smart Metaverse City: Immersive Realism and 3D Visualization of Digital Twin Cities

H Xu, A Berres, Y Shao, CR Wang… - Advances in Scalable …, 2023 - taylorfrancis.com
Metaverse and its related extended reality technologies can enable immersive, realistic, and
participatory visualization of 3D data, and their use and the potential within a smart city can …

An outlook on the future marine traffic management system for autonomous ships

M Martelli, A Virdis, A Gotta, P Cassarà… - IEEE …, 2021 - ieeexplore.ieee.org
In the shipping digitalisation process, the peak will be reached with the advent of a wholly
autonomous and at the same time safe and reliable ship. Full autonomy could be obtained …

Development of a novel object detection system based on synthetic data generated from unreal game engine

I Rasmussen, S Kvalsvik, PA Andersen, TN Aune… - Applied Sciences, 2022 - mdpi.com
This paper presents a novel approach to training a real-world object detection system based
on synthetic data utilizing state-of-the-art technologies. Training an object detection system …

Multiplane Prior Guided Few-Shot Aerial Scene Rendering

Z Gao, L Jiao, L Li, X Liu, F Liu… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract Neural Radiance Fields (NeRF) have been successfully applied in various aerial
scenes yet they face challenges with sparse views due to limited supervision. The …

A framework for fast prototyping of photo-realistic environments with multiple pedestrians

S Casao, A Otero, Á Serra-Gómez… - … on Robotics and …, 2023 - ieeexplore.ieee.org
Robotic applications involving people often require advanced perception systems to better
understand complex real-world scenarios. To address this challenge, photo-realistic and …

Video processing from a virtual unmanned aerial vehicle: Comparing two approaches to using OpenCV in unity

A Bustamante, LM Belmonte, R Morales, A Pereira… - Applied Sciences, 2022 - mdpi.com
Virtual reality (VR) simulators enable the evaluation of engineering systems and robotic
solutions in safe and realistic environments. To do so, VR simulators must run algorithms in …

Training deep learning spacecraft component detection algorithms using synthetic image data

H Viggh, S Loughran, Y Rachlin… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
On-orbit satellite servicing can benefit from increased local autonomy when long time delays
prevent effective teleoperation. One required perception capability is automated detection …

Fractal texture enhancement of simulated infrared images using a CNN-based neural style transfer algorithm with a histogram matching technique

T Kim, H Bang - Sensors, 2022 - mdpi.com
Here, we propose a CNN-based infrared image enhancement method to transform pseudo-
realistic regions of simulation-based infrared images into real infrared texture. The proposed …

Learning-based shadow detection in aerial imagery using automatic training supervision from 3D point clouds

DK Ufuktepe, J Collins, E Ufuktepe… - Proceedings of the …, 2021 - openaccess.thecvf.com
Shadows, motion parallax, and occlusions pose significant challenges to vision tasks in
wide area motion imagery (WAMI) including object identification and tracking. Although …