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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 …
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
Telescopic cranes are powerful lifting facilities employed in construction, transportation,
manufacturing and other industries. Since the ground workforce cannot be aware of their …
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
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 …
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 …
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 …
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 …
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 …
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 …
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 …
(UAVs) equipped with BeagleBone AI-64 (BBAI-64) boards, comparing their performance to …
Intelligent system for detection and identification of ground anomalies for rescue
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 …
carried out to assist in human lives in danger, and the unavailability of support technologies …