Statistical Evaluation of the Kernel DM+V/W Algorithm for Building Gas Distribution Maps in Uncontrolled Environments
نویسنده
چکیده
Problem Statement Gas distribution modelling with a mobile robot in uncontrolled environments is a challenging field of research. This is mainly due to the chaotic nature of the dispersed gas that is affected by the turbulent features of the wind. We propose a statistical method to build two-dimensional gas distribution maps that takes into consideration the influence of wind in the dispersion of gas (Kernel DM+V with Wind = Kernel DM+V/W).
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تاریخ انتشار 2009