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Output details

11 - Computer Science and Informatics

University of Leeds

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Output 20 of 95 in the submission

Output title

Buried Utility Pipeline Mapping Based on Multiple Spatial Data Sources: A Bayesian Data Fusion Approach

Type

E - Conference contribution

DOI

10.5591/978-1-57735-516-8/IJCAI11-402

Name of conference/published proceedings

Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence

Volume number

Issue number

First page of article

2411

ISSN of proceedings

Year of publication

2011

URL

Number of additional authors

Additional information

<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).

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract