George Sithole

Automatic structure detection in a point-cloud of an urban landscape

A method for detecting urban structures in an irregularly spaced point-cloud of an urban landscape is proposed. The method is especially designed for detecting structures that are extensions to the bare-earth (e.g., bridges, ramps, etc.,). The method involves a segmentation of a point-cloud followed by a classification. Both the segmentation and classification of the data are based on the analysis of a data structure in which the point-cloud is represented as an orthogonal set of profiles. Also proposed is a conceptual and logical model of the landscape for the structure detection problem.

A conceptual framework of space subdivision for indoor navigation

This paper presents a conceptual foundation for the description of interiors of buildings. This framework concentrates specifically on physical and conceptual subdivisions of indoor space, which supports indoor localization and navigation. Considering user and environmental factors into account, it can be used for flexible context aware path-planning in any indoor environment. The ultimate goal of the framework is to enable automatic subdivision of indoor space and on-the-fly creation of a gridded or irregular network.