SketchFab view of Bamff (Scotland) in Apr 2018
(UAV work by Dr Alan Law)
Edinburgh (UK) Visibility Modelling and Landmark Saliency Demo
Demo link: Edinburgh Visibility Modelling Map
Pan around Edinburgh then click on the map and the server will calculate the visibility of all surrounding features – this includes their vertical extent. It will then use big data sources such as FourSquare and Flickr along with well known brands from web rankings (e.g.Tesco, KFC) and generic features classes (e.g. statues, banks, churches) to calculate landmark saliency scores. The results will be shown as text which summarise the distance away, angles (left and right of the feature), name, feature classification and a saliency score. Calculations are run in realtime on the server.
The extent is limited to Edinburgh as the model uses a LiDAR source Digital Surface Model for the calculations.
SfM using Photoscan
This was written for a Science Show for children/families to illustrate how computers solve least cost paths. The children designed their own maze then the software solved it for them using A*.
Written in C# in a day and half, using an MS Surface Pro3.
Agent Based Modelling
Trials of various rules for Agents running around Edinburgh, from the random to preferring to be in a group, to self selecting group leaders, to intelligent route finding.
Flyover of Chambers Street, Edinburgh
A Digital Surface Model made from LiDAR points.
Using an IMU for Foot Tracking
Using a Microsoft Kinect as a MIDI controller using C# (.NET)
The skelton output from the Kinect was used to control the MIDI note, filters, and note repetition. The user’s right hand was used to select pitch, and left hand up/down to control filter cutoff, and in/out to control note repeat rate.
==== Demo Videos from the EU SpaceBook project ===
SpaceBook is a speech-driven, hands-free, eyes-free device for pedestrian navigation and exploration.
Edinburgh City Model
An overview of the Edinburgh City Model, including vector data, Digital Terrain Model (DTM), and Digital Surface Model (DSM)
Modelling of a pedestrian’s vista space, the objects in view, as they explore an urban area
Using GNSS (GPS+GLONASS) positioning + map matching + smartphone sensor data (i.e. accelerometer) to improve urban tracking
Here’s Dr William Mackaness talking about the SpaceBook project at the State of the Map 2013 in Edinburgh.
For more information please see the project website http://www.spacebook-project.eu/