Hybrid kinematic–visual sensing approach for activity recognition of construction equipment-Reference-Cited by-同舟云学术

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Hybrid kinematic–visual sensing approach for activity recognition of construction equipment

Published:2021-12 Issue: Volume:44 Page:102709
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Kim Jinwoo^ORCID,Chi Seokho,Ahn Changbum Ryan

Funder

Ministry of Land, Infrastructure and Transport

Korea Agency for Infrastructure Technology Advancement

Publisher

Elsevier BV

Subject

Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference54 articles.

1. Part based model and spatial–temporal reasoning to recognize hydraulic excavators in construction images and videos;Azar;Autom. Con. Struct.,2012

2. Automated methods for activity recognition of construction workers and equipment: state-of-the-art review;Sherafat;J. Construct. Eng. Manag.,2020

3. Action recognition of earthmoving excavators based on sequential pattern analysis of visual features and operation cycles;Kim;Autom. Con. Struct.,2019

4. Construction Planning, Equipment, and Methods;Peurifoy,2018

5. Spatial factors affecting the loading efficiency of excavators;Yoon;Autom. Con. Struct.,2014

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1. Generating realistic training images from synthetic data for excavator pose estimation;Automation in Construction;2024-11

2. Data augmentation aided excavator activity recognition using deep convolutional conditional generative adversarial networks;Advanced Engineering Informatics;2024-10

3. Image generation of hazardous situations in construction sites using text-to-image generative model for training deep neural networks;Automation in Construction;2024-10

4. Automatic recognition of excavator working cycles using supervised learning and motion data obtained from inertial measurement units (IMUs);Construction Robotics;2024-07-24

5. Unsupervised clustering-based domain adaptation for estimating occupancy and recognizing activities in smart buildings;Journal of Building Engineering;2024-05

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