Assessment of Convolutional Neural Networks for Asset Detection in Dynamic Automation Construction Environments-Reference-Cited by-同舟云学术

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Assessment of Convolutional Neural Networks for Asset Detection in Dynamic Automation Construction Environments

Published:2023-12-05 Issue: Volume:95 Page:1-6
ISSN:
Container-title:2023 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)
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Author:

Guamán-Rivera Robert¹,Menéndez Oswaldo²,Arevalo-Ramirez Tito³,Aro Katherine²,Prado Alvaro²,García-Alvarado Rodrigo⁴,Auat-Cheein Fernando⁵

Affiliation:

1. Institute of Engineering Sciences, Universidad de O'Higgins,Rancagua,Chile

2. Universidad Católica del Norte,Computer and Systems Engineering,Antofagasta,Chile

3. Pontificia Universidad Católica de Chile,Faculty of Engineering,Santiago,Chile

4. Universidad del Bio-Bio,Department of Design and theory of Architecture,Concepción,Chile

5. School of Engineering and Physical Sciences, Heriot-Watt University,Edinburgh,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10418608/10418599/10418631.pdf?arnumber=10418631

Reference35 articles.

1. Anthropomorphism in social robotics: empirical results on human–robot interaction in hybrid production workplaces

2. Research on the acceptance of collaborative robots for the industry 5.0 era - the mediating effect of perceived competence and the moderating effect of robot use self-efficacy;Liao;International Journal of Industrial Ergonomics,2023

3. Humans and robots: Friends of the future? a birds eye view of biomanufacturing industry 5.0;Selvam;Biotechnology Advances,2023

4. Probabilistic self-tuning approaches for enhancing performance of autonomous vehicles in changing terrains;Prado;Journal of Terramechanics,2018

5. Human-robot collaboration for on-site construction;Zhang;Automation in Construction,2023

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