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We examine robot experiments using the proposed method for indoor navigation and scoring soccer goals.
A multifunctional solar system was used and a method for indoor ventilation was proposed.
A model-based method for indoor mobile robot localization is presented herein; this method relies on monocular vision and uses straight-line correspondences.
We have applied our method for indoor and outdoor people tracking scenarios and have shown that it can provide major savings in communication bandwidth without significant degradation in tracking performance.
Permeable coverings have been demonstrated to be an effective solution as a passive control method for indoor air conditions, especially in the summer season and, consequently, are an energy saving technique.
We propose a method for indoor versus outdoor scene classification using a probabilistic neural network (PNN).
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This paper therefore presents a review of metrics and methods for indoor daylight availability assessment, as well as estimation methods used for predicting potential energy saving from daylight.
The above described evaluation methods for indoor climate variables and damage functions allow an assessment on an annual, seasonal and monthly time-scale.
The growth of short-range wireless communication networks, both for personal or industrial purposes, as well as the compatibility between network devices (WiFi-certified), has contributed to the development of radiodetermination methods for indoor environments.
However, since satellite signals do not penetrate buildings adequately, it is not possible for such systems to function in indoor environments, which has led to a variety of proposed methods for indoor localization and tracking in an attempt to provide seamless and ubiquitous services for mobile users [2 14].
The inherent limitations of DOA-based localization method specifically for indoor environment and under low sampling rate are initially discussed.
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