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The paper is devoted to the problem of semi-automatic initialization of the tracking algorithm, i.e. selecting an object of interest by unmanned aerial vehicles or drones. In this work, we propose an ...
Urban growth is an ongoing trend and one of its direct consequences is the development of buried utility networks. Locating these networks is becoming a challenging task. While the labeling of large o...
In urban canyon where the GNSS signals are blocked by buildings, the accuracy of measured position significantly deteriorates. GIS databases have been frequently utilized to improve the accuracy of me...
According to the World Health Organization (WHO) lung cancer remains the leading cause of death of men among all malignant tumors [1, 2]. One of the reasons of such a statistics is the fact that the l...
The technology of 3D laser scanning is considered as one of the most common methods for heritage documentation. The point clouds that are being produced provide information of high detail, both geomet...
The ANLN Workshop will be held again at ICC 2017 in Paris. Workshop date will be Thursday, May 25, 2017. Further details will be announced soon. The first call for papers has been issued (Sept. 2016)
In this paper, we utilize novel sensors built-in commercial smart devices to propose a schema which can identify floors with high accuracy and efficiency. This schema can be divided into two modules: ...
We present a method which is a continuation of work-in-progress paper (Kozlova et al., 2014). LRO NAC DEM, orthomosaic, and the results of detailed studies of the Lunokhod-2 route were used for modeli...
Users require navigation for many location-based applications using moving sensors, such as autonomous robot control, mapping route navigation and mobile infrastructure inspection. In indoor environme...
Vision based localization is widely investigated for the autonomous navigation and robotics. One of the basic steps of vision based localization is the extraction of interest points in images that are...
Indoor localization is important for a variety of applications such as location-based services, mobile social networks, and emergency response. Fusing spatial information is an effective way to achiev...
Multiple sensors are used in a variety of geolocation systems. Many use Time Difference of Arrival (TDOA) or Received Signal Strength (RSS) measurements to estimate the most likely location of a signa...
LiDAR sensors are proven sensors for accurate vehicle localization. Instead of detecting and matching features in the LiDAR data, we want to use the entire information provided by the scanners. As dyn...
A generic probabilistic model, under fundamental Bayes’ rule and Markov assumption, is introduced to integrate the process of mobile platform localization with optical sensors. And based on it, three ...
Indoor localization using Time-of-Arrival (TOA)of ultrasound is accurate, but remarkable errors may occur occasionally due to effects by indoor environment issues, such as when ultrasound propagates i...

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