This article contains the results of study, whose aim was to provide findings regarding the current state of proliferation of the GIS software at Czech grammar schools and also the barriers of further expansion of its use. Outputs of a questionnaire from beginning of year 2012 serve as the basic datasource for this study. The survey was sent to 103 schools and the resulting sample numbered 57 of them. The questionnaire is based on a methodology espoused in previous research studies and its aim is to assess the implementation ‘profile’ of grammar schools as a category. The level of implementation was considered in terms of its educational, technology and professional aspects. Results show that most of grammar schools are in the development stage in the ‘Technology’ and ‘Professional’ aspects, in the ‘Educational’ aspect, they find themselves in the institutionalization stage. The results of the study reveal that among teachers, the interest for teaching with GIS exists, but there is a lack of supporting materials and the teacher’s poor GIS skills frequently poses additional obstacles. Furthermore, there is not so much information about free software and data resources among teachers.
Making-use of multiple sensors is crucial f o r improvement of mobile robot navigntion performance. The rontribution introduces a problem of integrating noisy range-data by data fusion on signal/pixel level. This is pegormed for multiple sensors and diJjcerent sensor positions into a common description of the environment. The following deals with grid models, which are used as a low-level representations of sonar range measurements as well as for data fusion process.A short overview of used methods f o r the grid representation is shown and different fusion methods for various sonar models are discussed. Special attention is paid to the influence of sonar modeling on robustness of data integration process. The following deals with methods for improvement of fusion robustness. Novelty of the presented approach stands in a sonar model which is designed as dependent on measured distance. The other improvement is an optimal feature selection f o r doorway recognition. The designed methods are illustrated by examples and test runs on experirnental mobile plu@mn with sonar sensor system.
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