Output details
11 - Computer Science and Informatics
University of Leeds
Buried Utility Pipeline Mapping Based on Multiple Spatial Data Sources: A Bayesian Data Fusion Approach
<22>UK streetworks cost ~£5B annually and ~25% of holes do not expose the expected asset, so an improvement in the accuracy of utility maps should give large financial benefits. We demonstrate, for the first time, how sensor readings can be integrated with expectations from inaccurate utility records to produce a most probable map. The EPSRC Mapping-the-Underworld project EP/F06585X/1 with 30+ industrial partners aims to build a multi-sensor device to detect buried apparatus exploiting this work (reported in a dedicated BBC Radio 4 programme in May 2012, http://www.bbc.co.uk/programmes/b01hxt5n). Follow-on projects: NeTTUN (EU: €861k/€9,974k) and Assessing-the-Underworld (EP/K021699/1: £598k/£5.8M).