Driveable region segmentation using a Pearl Bayes network

Author

Ducksbury, P.G.

Author_Institution

Defense Res. Agency, Malvern, UK

fYear

1993

fDate

12/9/1993 12:00:00 AM

Firstpage

42401

Lastpage

42405

Abstract

Describes a parallel implementation of a texture segmentation algorithm. The algorithm uses a Pearl Bayes network (PBN) to combine evidence for the location of driveable regions in autonomous land vehicle imagery. A multilevel PBN approach is introduced and followed by an example which is used to illustrate the derivation of the propagation and fusion equations. A parallel implementation is then described with results demonstrating its effectiveness

Keywords

Bayes methods; computerised navigation; image segmentation; image texture; mobile robots; parallel algorithms; road vehicles; Pearl Bayes network; autonomous land vehicle imagery; driveable regions; fusion equations; parallel implementation; propagation equations; region segmentation; texture segmentation algorithm; virtual evidence;

fLanguage

English

Publisher

iet

Conference_Titel

Image Processing for Transport Applications, IEE Colloquium on

Conference_Location

London

Type

conf

Filename

280229

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1701047