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

Huanhuan Chen, AG Cohn, T Walsh

Research output: Contribution to conference (unpublished) › Paper

25 Citations (Scopus)

Original language	English
Pages	2411-2417
Number of pages	7
DOIs	https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-402
Publication status	Published - 1 Jul 2011
Event	Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence - Duration: 1 Jul 2011 → …

Conference	Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence
Period	1/07/11 → …

Access to Document

@conference{022f8de7ca214006bb8b0614f8b8501d,

title = "Buried Utility Pipeline Mapping Based on Multiple Spatial Data Sources: A Bayesian Data Fusion Approach",

author = "Huanhuan Chen and AG Cohn and T Walsh",

year = "2011",

month = jul,

day = "1",

doi = "10.5591/978-1-57735-516-8/IJCAI11-402",

language = "English",

pages = "2411--2417",

note = "Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence ; Conference date: 01-07-2011",

}

TY - CONF

T1 - Buried Utility Pipeline Mapping Based on Multiple Spatial Data Sources: A Bayesian Data Fusion Approach

AU - Chen, Huanhuan

AU - Cohn, AG

AU - Walsh, T

PY - 2011/7/1

Y1 - 2011/7/1

U2 - 10.5591/978-1-57735-516-8/IJCAI11-402

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

M3 - Paper

SP - 2411

EP - 2417

T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence

Y2 - 1 July 2011

ER -