The Smart Point Cloud: Structuring 3D intelligent point data

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dc.contributor.authorPoux, Florent
dc.date.accessioned2021-01-20T08:35:14Z
dc.date.available2021-01-20T08:35:14Z
dc.date.issued2019-06-05
dc.description.abstractDiscrete spatial datasets known as point clouds often lay the groundwork for decision-making applications. E.g., we can use such data as a reference for autonomous cars and robot’s navigation, as a layer for floor-plan’s creation and building’s construction, as a digital asset for environment modelling and incident prediction... Applications are numerous, and potentially increasing if we consider point clouds as digital reality assets. Yet, this expansion faces technical limitations mainly from the lack of semantic information within point ensembles. Connecting knowledge sources is still a very manual and time-consuming process suffering from error-prone human interpretation. This highlights a strong need for domain-related data analysis to create a coherent and structured information. The thesis clearly tries to solve automation problematics in point cloud processing to create intelligent environments, i.e. virtual copies that can be used/integrated in fully autonomous reasoning services. We tackle point cloud questions associated with knowledge extraction – particularly segmentation and classification – structuration, visualisation and interaction with cognitive decision systems. We propose to connect both point cloud properties and formalized knowledge to rapidly extract pertinent information using domain-centered graphs. The dissertation delivers the concept of a Smart Point Cloud (SPC) Infrastructure which serves as an interoperable and modular architecture for a unified processing. It permits an easy integration to existing workflows and a multi-domain specialization through device knowledge, analytic knowledge or domain knowledge. Concepts, algorithms, code and materials are given to replicate findings and extend current applications.en_US
dc.description.sponsorshipNot applicableen_US
dc.identifier.citationPoux, F. (2019). The Smart Point Cloud: Structuring 3D intelligent point data (Doctoral dissertation, Université de Liège,​ Liège,​​ Belgique).en_US
dc.identifier.isbn978-94-6375-422-4
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/2633000
dc.language.isoenen_US
dc.publisherORBien_US
dc.subject3D Point Clouden_US
dc.subject3D Reconstructionen_US
dc.subjectSemantic segmentationen_US
dc.subjectPoint Cloud Databaseen_US
dc.subjectData modellingen_US
dc.subjectOntologyen_US
dc.titleThe Smart Point Cloud: Structuring 3D intelligent point dataen_US
dc.typeThesisen_US
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