Haosen Chen

Teaching assistant

RMIT University

Australia

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About

Haosen Chen is a Teaching Assistant at RMIT University, Australia. His research focuses on augmented reality, deep learning, and their applications in construction safety and performance enhancement. Recent publications include studies on leveraging deep learning techniques for stormwater pipe condition assessment and real-time mixed reality warnings for workforce safety.

Articles (9)

Year:

2024

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2024

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2024

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2023

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2023

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2022

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2022

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2021

Year:

2021

Collaborators (4)

Shaoze Wu

Teaching Assistant

RMIT University

AUSTRALIA

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Guomin Kevin Zhang

Professor

RMIT University

AUSTRALIA

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YANG ZOU

Senior Lecturer

University of Auckland

NEW ZEALAND

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Quddus Tushar

Lecturer

Central Queensland University

AUSTRALIA

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Haosen Chen

Research Interests

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About

Articles (9)

Augmented reality, deep learning and vision-language query system for construction worker safety

Leveraging deep learning techniques for condition assessment of stormwater pipe network

Using Eye-Tracking to Measure Worker Situation Awareness in Augmented Reality

Cognitive ergonomics-based Augmented Reality application for construction performance

Using Context-Guided data Augmentation, lightweight CNN, and proximity detection techniques to improve site safety monitoring under occlusion conditions

Real-time mixed reality-based visual warning for construction workforce safety

Social distance monitoring of site workers for COVID-19 using context-guided data augmentation, deep learning, and homography transformation

Deep Learning-Based Applications for Safety Management in the AEC Industry: A Review

Development of BIM, IoT and AR/VR technologies for fire safety and upskilling

Collaborators (4)

Shaoze Wu

Guomin Kevin Zhang

YANG ZOU

Quddus Tushar

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