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Sensordatafusion av IR- och radarbilder

by Schultz, Johan

Abstract (Summary)
This thesis describes and evaluates a number of algorithms for multi sensor fusion of radar and IR/TV data. The fusion is performed on raw data level, that is prior to attribute extraction. The idea is that less information will be lost compared to attribute level fusion. Two methods are presented. The first method transforms the radar image to the IR-view and vice versa. The images sharing the same dimension are then fused together. The second method fuses the original images to a three dimensional volume. Another version is also presented, where stereo vision is used. The results show that stereo vision can be used with good performance and gives a more general solution to the problem.
Bibliographical Information:

Advisor:

School:Linköpings universitet

School Location:Sweden

Source Type:Master's Thesis

Keywords:sensordatafusion ir radar r├ądatafusion stereoseende sensor data fusion raw stereo vision

ISBN:

Date of Publication:01/01/2004

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