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Generalized Vision-Based Detection, Identification and Pose Estimation of Lamps for BIM Integration

Francisco Troncoso-Pastoriza, Javier López-Gómez, Lara Febrero-Garrido • Sensors (2018)

This paper introduces a comprehensive approach based on computer vision for the automatic detection, identification and pose estimation of lamps in a building using the image and location data from low-cost sensors, allowing the incorporati...

DOAJ Open Access (DOAJ) DOI: 10.3390/s18072364

Computer Vision for Human-Machine Interaction

• Cambridge University Press eBooks (1998)

Advances in the field of computer vision are leading to radical changes in the way we interact with computers. At the time of this book's publication in 1998, it would soon be possible to enable a computer linked to a video camera to detect...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511569937

Unmanned Aerial Vehicle-Based Structural Health Monitoring and Computer Vision-Aided Procedure for Seismic Safety Measures of Linear Infrastructures

Luna Ngeljaratan, Elif Ecem Bas, Mohamed A. Moustafa • Sensors (2024)

Computer vision in the structural health monitoring (SHM) field has become popular, especially for processing unmanned aerial vehicle (UAV) data, but still has limitations both in experimental testing and in practical applications. Prior wo...

DOAJ Open Access (DOAJ) DOI: 10.3390/s24051450

Deep Learning for Understanding Satellite Imagery: An Experimental Survey

Sharada Prasanna Mohanty, Jakub Czakon, Kamil A. Kaczmarek, Kamil A. Kaczmarek et al. • Frontiers in Artificial Intelligence (2020)

Translating satellite imagery into maps requires intensive effort and time, especially leading to inaccurate maps of the affected regions during disaster and conflict. The combination of availability of recent datasets and advances in compu...

DOAJ Open Access (DOAJ) DOI: 10.3389/frai.2020.534696

Edge AI for Industrial Visual Inspection: YOLOv8-Based Visual Conformity Detection Using Raspberry Pi

Marcelo T. Okano, William Aparecido Celestino Lopes, Sergio Miele Ruggero, Oduvaldo Vendrametto et al. • Algorithms (2025)

This paper presents a lightweight and cost-effective computer vision solution for automated industrial inspection using You Only Look Once (YOLO) v8 models deployed on embedded systems. The YOLOv8 Nano model, trained for 200 epochs, achieve...

DOAJ Open Access (DOAJ) DOI: 10.3390/a18080510

DEEP LEARNING-BASED DOOR AND WINDOW DETECTION FROM BUILDING FAÇADE

G. Sezen, M. Cakir, M. E. Atik, Z. Duran • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2022)

Detecting building façade elements is a crucial problem in computer vision for image interpretation. In Building Information Modeling (BIM) studies, the detection of building façade elements has an important role. BIM is a tool that allows ...

DOAJ Open Access (DOAJ) DOI: 10.5194/isprs-archives-XLIII-B4-2022-315-2022

OmniVO: Toward Robust Omni Directional Visual Odometry With Multicamera Collaboration for Challenging Conditions

Zeeshan Javed, Gon-Woo Kim • IEEE Access (2022)

With the recent developments in computer vision, vision-based odometry plays an increasingly important role in the field of autonomous systems. However, using traditional visual odometry or simultaneous localization and mapping (vSLAM) only...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2022.3204870

Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead

Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Guido Masera et al. • IEEE Access (2020)

Currently, Machine Learning (ML) is becoming ubiquitous in everyday life. Deep Learning (DL) is already present in many applications ranging from computer vision for medicine to autonomous driving of modern cars as well as other sectors in ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2020.3039858

Automated detection of bicycle helmets using deep learning

Felix Wilhelm Siebert, Christoffer Riis, Kira Hyldekær Janstrup, Hanhe Lin et al. • Journal of Cycling and Micromobility Research (2024)

Bicycle helmets are a main measure for injury prevention in case of a crash and are a central variable in transport safety studies. Despite this, helmet use data is only collected sporadically, as the observation of helmet use in traffic by...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jcmr.2024.100013

A Survey of Deep Learning Techniques and Computer Vision in Robotic and Drone with Applications

Khazaal Abbas Maaroof Maysoon, Bouhlel Med Salim • BIO Web of Conferences (2024)

The methods of deep learning have lately demonstrated outstanding outcomes of robotic objects such as imagination, localization and striping. Its exceptional abilities in order to learn idealizations from complicated data gathered in the re...

DOAJ Open Access (DOAJ) DOI: 10.1051/bioconf/20249700008

Assessment of the possibility of machine learning for electronic equipment quality prediction

Anna S. Kolosova, Anna S. Kameneva, Georgii G. Chukov, Alexander Y. Nikiforov • Безопасность информационных технологий (2023)

The major algorithms and methods of machine learning are considered. A possibility of machine learning and neural network using for electronic equipment quality prediction is assessed. The paper provides examples of the successful applicati...

DOAJ Open Access (DOAJ) DOI: 10.26583/bit.2023.1.09

Computational Symmetry in Computer Vision and Computer Graphics

Yanxi Liu, Hagit Zabrodsky Hel-Or, Craig S. Kaplan, Luc Van Gool • Foundations and Trends® in Computer Graphics and Vision (2010)

In the arts and sciences, as well as in our daily lives, symmetry has made a profound and lasting impact. Likewise, a computational treatment of symmetry and group theory (the ultimate mathematical formalization of symmetry) has the potenti...

OPENALEX DOI: https://doi.org/10.1561/0600000008

Impact of Water Depth on Subway Emergency Evacuation in Flood Scenarios

ZHU Wenhao, ZHU Haiyan, LIU Zhigang, SHEN Yuxin et al. • Chengshi guidao jiaotong yanjiu (2025)

[Objective] Evacuation bottlenecks for subway stations in flood scenarios are investigated to enhance subway station personnel evacuation efficiency under water inundation and backflow conditions, and provide insights for developing subway ...

DOAJ Open Access (DOAJ) DOI: 10.16037/j.1007-869x.20231053