Drone-Based Image Processing for Construction Site Safety, Transportation, and Progress Management
Paper i proceeding, 2021

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.

Författare

Wen Yi

Massey University

Xiaobo Qu

Chalmers, Arkitektur och samhällsbyggnadsteknik, Geologi och geoteknik

Smart Innovation, Systems and Technologies

2190-3018 (ISSN) 2190-3026 (eISSN)

Vol. 231 21-26
9789811623233 (ISBN)

4th International Symposium on Smart Transportation Systems, KES-STS 2021
Virtual, Online, ,

Ämneskategorier

Produktionsteknik, arbetsvetenskap och ergonomi

Miljöanalys och bygginformationsteknik

Datavetenskap (datalogi)

Styrkeområden

Informations- och kommunikationsteknik

Transport

DOI

10.1007/978-981-16-2324-0_3

Mer information

Senast uppdaterat

2021-08-10