Dataset and benchmark for detecting moving objects in construction sites-Reference-Cited by-同舟云学术

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Dataset and benchmark for detecting moving objects in construction sites

Published:2021-02 Issue: Volume:122 Page:103482
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Xuehui An,Li Zhou,Zuguang Liu,Chengzhi Wang,Pengfei Li,Zhiwei Li

Funder

Powerchina Roadbridge Group Co., Ltd.

SinoHydro Bureau 8 Co., Ltd.

China Three Gorges Corporation

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference57 articles.

1. An object recognition, tracking, and contextual reasoning-based video interpretation method for rapid productivity analysis of construction operations;Gong;Autom. Constr.,2011

2. Visualization of construction progress monitoring with 4D simulation model overlaid on time-lapsed photographs;Golparvar-Fard;J. Comput. Civ. Eng.,2009

3. Hardhat-wearing detection for enhancing on-site safety of construction workers;Park;J. Constr. Eng. Manag.,2015

4. Remote proximity monitoring between mobile construction resources using camera-mounted UAVs;Kim;Autom. Constr.,2019

5. End-to-end vision-based detection, tracking and activity analysis of earthmoving equipment filmed at ground level;Roberts;Autom. Constr.,2019

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1. Make it till you fake it: Construction-centric computational framework for simultaneous image synthetization and multimodal labeling;Automation in Construction;2024-11

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

3. Proactive safety hazard identification using visual–text semantic similarity for construction safety management;Automation in Construction;2024-10

4. AIDCON: An Aerial Image Dataset and Benchmark for Construction Machinery;Remote Sensing;2024-09-05

5. Robust object detection in extreme construction conditions;Automation in Construction;2024-09

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