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Found 6 papers, 3 papers with code
Scan-to-BIM for As-built Roads: Automatic Road Digital Twinning from Semantically Labeled Point Cloud Data
Creating geometric digital twins (gDT) for as-built roads still faces many challenges, such as low automation level and accuracy, limited asset types and shapes, and reliance on engineering experience.
SDNIA-YOLO: A Robust Object Detection Model for Extreme Weather Conditions
Though current object detection models based on deep learning have achieved excellent results on many conventional benchmark datasets, their performance will dramatically decline on real-world images taken under extreme conditions.
Personal Protective Equipment Detection in Extreme Construction Conditions
Object detection has been widely applied for construction safety management, especially personal protective equipment (PPE) detection.
Scene restoration from scaffold occlusion using deep learning-based methods
The occlusion issues of computer vision (CV) applications in construction have attracted significant attention, especially those caused by the wide-coverage, crisscrossed, and immovable scaffold.
Monocular 2D Camera-based Proximity Monitoring for Human-Machine Collision Warning on Construction Sites
This study preliminarily reveals the potential and feasibility of proximity monitoring using only a 2D camera, providing a new promising and economical way for early warning of human-machine collisions.
VCVW-3D: A Virtual Construction Vehicles and Workers Dataset with 3D Annotations
Currently, object detection applications in construction are almost based on pure 2D data (both image and annotation are 2D-based), resulting in the developed artificial intelligence (AI) applications only applicable to some scenarios that only require 2D information.
