Title :
Towards computer intelligence for tracking the features of a geostatistical field to aid autonomous machine guidance
Author :
Edwards, J.B. ; Iqbal, R. ; Dimitrakopoulos, R.
Author_Institution :
Dept. of Autom. Control & Syst. Eng., Sheffield Univ., UK
Abstract :
The authors describe how fuzzy patterns captured by tactile sensing of hardness features of a coal seam can be processed and used for the steering of rock-cutting mining machines in geological environments. A method of simulating geologically reasonable coal seam hardness images with controlled induction of noise is presented. A simple algorithm to improve the tracking of coal seam hardness profile is described. Using the simulated hardness pattern, the applicability and effectiveness of this algorithm is demonstrated
Keywords :
coal; computerised navigation; feature extraction; intelligent control; mining; position control; autonomous machine guidance; coal mining; coal seam; geostatistical field; hardness feature extraction; intelligent control; rock-cutting mining machines; steering; tactile sensing; Automatic control; Competitive intelligence; Density functional theory; Geology; Machine intelligence; Modeling; Ores; Radiation detectors; Systems engineering and theory; Working environment noise;
Conference_Titel :
Intelligent Control, 1992., Proceedings of the 1992 IEEE International Symposium on
Conference_Location :
Glasgow
Print_ISBN :
0-7803-0546-9
DOI :
10.1109/ISIC.1992.225131
