Abstract
AbstractOver the past few years, the application of camera-equipped Unmanned Aerial Vehicles (UAVs) for visually monitoring construction and operation of buildings, bridges, and other types of civil infrastructure systems has exponentially grown. These platforms can frequently survey construction sites, monitor work-in-progress, create documents for safety, and inspect existing structures, particularly for hard-to-reach areas. The purpose of this paper is to provide a concise review of the most recent methods that streamline collection, analysis, visualization, and communication of the visual data captured from these platforms, with and without using Building Information Models (BIM) as a priori information. Specifically, the most relevant works from Civil Engineering, Computer Vision, and Robotics communities are presented and compared in terms of their potential to lead to automatic construction monitoring and civil infrastructure condition assessment.
Highlights
The application of Unmanned Aerial Vehicles (UAVs), known as drones, on project sites has exponentially grown in the past few years (ENR 2015)
The purpose of this paper is to provide a concise review of (1) the most recent methods that streamline the collection and analysis of the visual data captured from these platforms, and (2) methods that transform and visualize actionable performance information from the collected data, with and without using Building Information Models (BIM) as a priori information
Relation to other fields Generating as-is 3D models of the built environment using visual data collected via UAVs, transforming the outcome into useful information about the scene, and guaranteeing the accuracy and completeness during the data collection process, have all received significant attentions from both Computer Vision and Robotics communities
Summary
The application of Unmanned Aerial Vehicles (UAVs), known as drones, on project sites has exponentially grown in the past few years (ENR 2015). Collection of visual data, and detection and analysis of individual elements would be simpler problems compared to the generic problems encountered in Computer Vision and Robotics fields This makes the problem domain of UAV-driven construction monitoring and civil infrastructure condition assessment interesting, as it can lead to domain-specific findings which can be generalized to solve the generic problems. Collecting informative visual data Providing accurate performance information about the state of construction or existing conditions of civil infrastructures requires UAVs to collect visual data in form of images and videos (e.g., digital: RGB; thermal: T; depth: D; digital + depth: RGB + D) from the most relevant locations and views on a project site To streamline this process, research in UAV-driven visual data collection need to address the following challenges: (1) autonomous or semiautonomous path planning, navigation, and take-off and landing procedures; (2) characterization of the criteria necessary for data collection, including the configurations among the images to guarantee complete as-built
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