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This article considers the errors of biofuel temperature measurement based on the use of thermoelectric converter in thermo-anemometric flowmeter. Quantitatively, these measurement errors are represented by a mathematical model. Therefore, for greater efficiency of using the thermal converters, the required calculations of TAF errors were made, and an analysis of feasibility of using this TAF was...
Calorimetrie flow meter of motor fuel (bio-fuel) with extended precision of fuel consumption measurement was developed. Extended precision is provided by the temperature control at the entrances of the tube of fuel forward flow and the tube of fuel backflow.
The paper presents a thorough evaluation of two representative visual place recognition algorithms that can be applied to the problem of indoor localization of a person equipped with a modern smartphone. The evaluation focuses on comparing two different state-of-the-art approaches: single image-based place recognition, represented by the FAB-MAP algorithm, and recognition based on a sequence of images,...
In this paper we demonstrate how to extend an indoor personal navigation system based upon fusing pedestrian dead reckoning data and WiFi fingerprints by using simple, unobtrusive visual landmarks perceived by the user's smartphone camera. The proposed navigation system employs a factor graph to represent the localization constraints stemming from measurements obtained using the sensors available...
This paper presents an approach to data fusion from multiple depth sensors with different principles of range measurements. This concept is motivated by the observation that depth sensors exploiting different range measurement techniques have also distinct characteristics of the uncertainty and artifacts in the obtained depth images. Thus, fusing the information from two or more measurement channels...
Many recent solutions to the RGB-D SLAM problem use the pose-graph optimization approach, which marginalizes out the actual depth measurements. In this paper we employ the same type of factor graph optimization, but we investigate the gains coming from maintaining a map of RGBD point features and modeling the spatial uncertainty of these features. We demonstrate that RGB-D SLAM accuracy can be increased...
Contemporary mobile devices can be used as navigation aids. The embedded gyroscope, accelerometer and magnetometer used together may form a reliable AHRS (Attitude and Heading Reference System), which estimates the orientation of the device with respect to the global reference frame. However, a question arises: which framework to use in order to integrate the noisy data under the tight computing power...
This paper presents terrain classification method based on the intensity readings from Laser Range Finder. The classification is performed on the feature vectors obtained using statistical descriptors or Fourier Transform computed for the patches of the intensity map for each terrain sample. As a classifier Support Vector Machines were used. For the set of 12 terrains results of classification are...
Consumer electronics mobile devices, such like smartphones and tablets, are quickly growing in computing power and become equipped with advanced sensors. This makes a modern mobile device a viable platform for many computation-intensive, real-time applications. In this paper we present a study on the performance and robustness of point features detection and description in images acquired by a mobile...
This paper presents a visual odometry system for mobile robots that works on RGB-D data from a Kinect/Xtion class sensor, and reports experimental results of evaluating this system on publicly available data. The aim of the presented research was to build a lightweight RGB-D visual odometry system, which can run in real-time on-board of such robots as walking machines that have limited computing resources...
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