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Determining Ground Elevations Covered by Vegetation on Construction Sites Using Drone-Based Orthoimage and Convolutional Neural Network
Publisher: ASCE
Abstract: Three-dimensional (3D) surveying of a construction site using an image-based method may produce incorrect ground elevation results at vegetation-covered regions, because the light rays are reflected on the surface of ...
Low–High Orthoimage Pairs-Based 3D Reconstruction for Elevation Determination Using Drone
Publisher: ASCE
Abstract: This paper presents a 3D reconstruction method for fast elevation determination on construction sites. The proposed method is intended to automatically and accurately determine construction site elevations using drone-based, ...
Estimation of Construction Site Elevations Using Drone-Based Orthoimagery and Deep Learning
Publisher: ASCE
Abstract: Using deep learning to recover depth information from a single image has been studied in many situations, but there are no published articles related to the determination of construction site elevations. This paper presents ...
Fast-PGMED: Fast and Dense Elevation Determination for Earthwork Using Drone and Deep Learning
Publisher: ASCE
Abstract: This paper presents a time- and cost-effective elevation determination method for earthwork operations using ready-to-fly imaging drones and deep learning technologies. The proposed method is named the fast pixel grid/group ...
Scan4Façade: Automated As-Is Façade Modeling of Historic High-Rise Buildings Using Drones and AI
Publisher: ASCE
Abstract: This paper presents an automated as-is façade modeling method for existing and historic high-rise buildings, named Scan4Façade. To begin with, a camera drone with a spiral path is employed to capture building exterior ...
Development of a Pavement Evaluation Tool Using Aerial Imagery and Deep Learning
Publisher: ASCE
Abstract: This paper presents the research results of using Google Earth imagery for visual condition surveying of highway pavement in the United States. A screenshot tool is developed to automatically track the highway for collecting ...