This study proposes a numerical simulation procedure to evaluate the accuracy of geometric parameters of 3dimensional models reconstructed by photogrammetry based on the open graphics library. As a technical mean to o...
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This study proposes a numerical simulation procedure to evaluate the accuracy of geometric parameters of 3dimensional models reconstructed by photogrammetry based on the open graphics library. As a technical mean to obtain photogrammetric photos and data, this method has achieved the goal of controlling the parameters in the photogrammetric process at will. The proposed method is validated by several physical model experiments using the unmanned aerial vehicle Phantom 4 Real-time kinematic (RTK). Through a series of numerical experiments, this study quantitatively analyzes the error of geometric parameters of discontinuities in rock masses caused by coordinate accuracy of camera positions and shooting distance, and some quantitative findings were obtained. These results conforming to common sense also validate the proposed simulation procedure. This numerical simulation procedure has a broad application prospect in guiding and optimization of photo acquisition of field outcrop balancing the accuracy and efficiency.
This study addresses the problem of tracking extended target with intermittent observations. Based on practical applications, two Bernoulli distributed random variables are employed to describe the intermittent phenom...
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This study addresses the problem of tracking extended target with intermittent observations. Based on practical applications, two Bernoulli distributed random variables are employed to describe the intermittent phenomenon of the positional measurements and the measurements of target extent, respectively. First, a machine vision algorithm is developed to solve the target shape parameters. Then, four sub-filters are designed according to the received observations and the achieved target shape parameters. The output of the proposed tracking filer can be obtained by the weighted-confidence fusion of the sub-filters. Finally, the machine vision algorithm is evaluated by the virtual target images created in openGL (open graphics library) and the real images of a moving ship. The performance of the designed tracking filter is compared with the traditional tracking filter. The experiment results show the effectiveness of the machine vision approach;also the Monte-Carlo runs demonstrate that the provided tracking filter outperforms the traditional one with respect to accuracy.
Exploiting the natural thermal infrared radiation of humans is a promising approach for an accurate, comfortable and inexpensive indoor localization system. However, different sources of disturbance make the developme...
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ISBN:
(纸本)9781424498642
Exploiting the natural thermal infrared radiation of humans is a promising approach for an accurate, comfortable and inexpensive indoor localization system. However, different sources of disturbance make the development challenging. In order to provide valid sensor data for various scenarios an adequate simulation environment is needed. In this paper we present a real-time scene simulator that allows the simulation of dynamic indoor environments and the resulting output signals of infrared sensors. The composition of such environments is simplified by using an object and sensor database. In order to enable real-time processing, openGL and hardware acceleration is applied. Evaluations show that the accuracy of the chosen approach is sufficient to develop algorithms for a Thermal Infrared Localization System (ThILo). Furthermore, it can be shown that real-time processing is possible for a complete location system in typical indoor environments.
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