IQmulus is a network of organisations interested in the processing of 'big data' point clouds such as datasets produced by Lidar, Sonar and Laser Mobile Mapping. Members range from ICT organisations developing the latest computing infrastructures, to research organisations developing the latest algorithms, and end users applying ideas to support reliable decision making. If you share any of these interests we would be pleased to hear from you!


Marine DEM generation: deconflicted elevation model generated from point cloud data [Workflow MS1]


The aim of this workflow is  to generate a single seamless surface from multiple disparate point cloud source data in a rapid and flexible way, and to visualize it.

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Inspection of the quality of the representation [Workflow MS2]

Error checking - distance of survey data from a surface. Comparison of a new survey point cloud with existing LR -B spline approximation.

The work flow is tightly integrated with MS1 and can serve as a starting point for a more interactive deconfliction process than the one envisaged in MS1.

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Visualising Point Clouds and Surfaces on the IQmulus Project

Presentation: Visualising Point Clouds and Surfaces on the IQmulus Project

HR Wallingford Exchange Forum, Howbery Park,19th July 2017

The IQmulus project addressed the challenge of taking geospatial point cloud and coverage data and interpreting it with functions such as interpolation, feature detection and change detection so that it could be more easily used for decision-making tasks. One key aspect of HR Wallingford’s role on the project was to investigate processing and visualising bathymetry datasets using the SeaZone holdings of bathymetry surveys. The purpose of this presentation is to describe and, where possible, demonstrate key visualisation applications developed at HR Wallingford.

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