Drone-Based Image Processing for Construction Site Safety, Transportation, and Progress Management

Wen Yi, Xiaobo Qu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Construction plays a pivotal role in securing prosperity in many countries through the deployment of new infrastructure, as the need to deliver higher-quality products more efficiently and safely is stronger than ever. Current construction management primarily relies on human assessment due to lack of automated project data collection, communication or distribution of important information, and is often reactive to accidents, inefficiencies, and progress delays. This study will tackle these problems by developing a methodological framework on automated tracking, inspection, and monitoring to increase accessibility, efficiency and safety to improve infrastructure project delivery, which integrates cost-effective unmanned aerial vehicles (UAVs, or drones) data collection, real-time analysis and segmentation of UAV visual data, and proactive dynamic planning.

Original languageEnglish
Title of host publicationSmart Transportation Systems 2021 - Proceedings of 4th KES-STS International Symposium
EditorsXiaobo Qu, Lu Zhen, Robert J. Howlett, Lakhmi C. Jain
PublisherSpringer Science and Business Media Deutschland GmbH
Pages21-26
Number of pages6
ISBN (Print)9789811623233
DOIs
Publication statusPublished - 2021
Event4th International Symposium on Smart Transportation Systems, KES-STS 2021 - Virtual, Online
Duration: 14 Jun 202116 Jun 2021

Publication series

NameSmart Innovation, Systems and Technologies
Volume231
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference4th International Symposium on Smart Transportation Systems, KES-STS 2021
CityVirtual, Online
Period14/06/2116/06/21

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)

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