Design guidelines on deep learning–based pedestrian detection methods for supporting autonomous vehicles

A Boukerche, M Sha - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Intelligent transportation systems (ITS) enable transportation participants to communicate
with each other by sending and receiving messages, so that they can be aware of their …

Machine-learning-based top-view safety monitoring of ground workforce on complex industrial sites

G Golcarenarenji, I Martinez-Alpiste, Q Wang… - Neural Computing and …, 2022 - Springer
Telescopic cranes are powerful lifting facilities employed in construction, transportation,
manufacturing and other industries. Since the ground workforce cannot be aware of their …

Illumination-aware image fusion for around-the-clock human detection in adverse environments from unmanned aerial vehicle

G Golcarenarenji, I Martinez-Alpiste, Q Wang… - Expert Systems with …, 2022 - Elsevier
This study proposes a novel illumination-aware image fusion technique and a Convolutional
Neural Network (CNN) called BlendNet to significantly enhance the robustness and real …

Machine learning-based understanding of aquatic animal behaviour in high-turbidity waters

I Martinez-Alpiste, JB de Tailly… - Expert Systems with …, 2024 - Elsevier
Inspired by the ambitions envisioned in the Fourth Industrial Revolution for aquaculture, also
known as Aquaculture 4.0, the aquaculture (marine animal farming) industry is seeking to …

Human Detection from Unmanned Aerial Vehicles' Images for Search and Rescue Missions: A State-of-the-Art Review

AAB Abdelnabi, G Rabadi - IEEE Access, 2024 - ieeexplore.ieee.org
Natural disasters continue to occur at an alarming rate impacting communities worldwide
and requiring greater preparedness and response efforts. In the aftermath of disasters such …

Exploring the performance of deep neural networks on embedded many-core processors

T Yabe, T Azumi - … ACM/IEEE 13th International Conference on …, 2022 - ieeexplore.ieee.org
This paper explores and evaluates the potential of deep neural network (DNN)-based
machine learning algorithms on embed-ded many-core processors in cyber-physical …

Face verification algorithms for UAV applications: An empirical comparative analysis

J Diez-Tomillo, JM Alcaraz-Calero… - … Software and Systems, 2024 - hrcak.srce.hr
Sažetak Unmanned Aerial Vehicles (UAVs) are revolutionising diverse computer vision use
case domains, from public safety surveillance to Search and Rescue (SAR), and other …

Human Recognition from High-altitude UAV Camera Images by AI based Body Region Detection

D Wijesundara, L Gunawardena… - 2022 Joint 12th …, 2022 - ieeexplore.ieee.org
The usage of unmanned aerial vehicles (UAVs) has rapidly increased during the recent
past. The application areas for UAVs include search and rescue operations, tracking …

Edge-accelerated UAV operations: a case study of open source solutions

J Diez-Tomillo, JM Alcaraz-Calero… - … and Mobile Computing …, 2024 - ieeexplore.ieee.org
This study explores the execution of AI algorithms on open Unmanned Aerial Vehicles
(UAVs) equipped with BeagleBone AI-64 (BBAI-64) boards, comparing their performance to …

Intelligent system for detection and identification of ground anomalies for rescue

A Dantas, L Diniz, M Almeida, E Olsson, P Funk… - ITNG 2022 19th …, 2022 - Springer
The search and identification of people lost in an emergency is a very important activity, it is
carried out to assist in human lives in danger, and the unavailability of support technologies …