Objective
There is a lack of viable methods to map and label existing infrastructure. This is one of the grand challenges of engineering in the 21st century noted by the “Restoring and Improving Urban Infrastructure” report of the US National Academy of Engineering (NAE). For instance, over two thirds of the effort needed to model even simple infrastructure is spent on manually converting a cloud of points to a 3D model. The result is that only very few constructed facilities today have a complete record of as-built information and that as-built models are not produced for the vast majority of new construction and retrofit projects, which leads to rework and design changes that cost up to 10% of the installed costs.
This project plans to test whether a novel framework proposed by the researcher can reasonably detect and classify common building objects from visual and spatial data, for the purpose of significantly reducing the time it takes to create the as-built geometric Building Information Model (BIM) of an existing facility. Under the proposed plan of work, the visual characteristics of civil infrastructure element types are identified and numerically represented using image analysis tools. The derived representations along with their inferred relative topology are then used to form the element parts for learning the element category models. These models are used to automate the detection of element types and their local poses from arbitrary views. The detected elements, by further estimating their distance to the observer and 3D bounding box, are mapped onto the 3D point clouds rendered with colour and texture. If successful, this project will provide the research community with the first view and scale-invariant, civil infrastructure object detection method that is capable of automatically quantifying object parts for training, detecting objects from arbitrary viewing points, and estimating the layout of the objects in the 3D physical space.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology materials engineering colors
- natural sciences mathematics pure mathematics topology
- natural sciences computer and information sciences artificial intelligence computer vision object detection
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2012-CIG
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MC-CIG - Support for training and career development of researcher (CIG)
Coordinator
CB2 1TN Cambridge
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.