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    Wyświetlanie 1-13 z 13
    Tytuł:
    On augmenting the visual slam with direct orientation measurement using the 5-point algorithm
    Autorzy:
    Schmidt, A.
    Kraft, A.
    Fularz, M.
    Domagała, Z.
    Powiązania:
    https://bibliotekanauki.pl/articles/384310.pdf
    Data publikacji:
    2013
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    visual SLAM
    visual odometry
    Opis:
    This paper presents the attempt to merge two paradigms of the visual robot navigation: Visual Simultaneous Localization and Mapping (VSLAM) and Visual Odometry (VO). The VSLAM was augmented with the direct, visual measurement of the robot orientation change using the 5-point algorithm. The extended movement model of the robot was proposed and additional measurements were introduced to the SLAM system. The efficiency of the 5-point and 8-point algorithms was compared. The augmented system was compared with the state of the art VSLAM solution and the proposed modification allowed to reduce the tracking error by over 30%.
    Źródło:
    Journal of Automation Mobile Robotics and Intelligent Systems; 2013, 7, 1; 5-10
    1897-8649
    2080-2145
    Pojawia się w:
    Journal of Automation Mobile Robotics and Intelligent Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The registration system for the evaluation of indoor visual slam and odometry algorithms
    Autorzy:
    Schmidt, A.
    Kraft, M.
    Fularz, M.
    Domagała, Z.
    Powiązania:
    https://bibliotekanauki.pl/articles/384854.pdf
    Data publikacji:
    2013
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    SLAM
    visual odometry
    benchmark
    Opis:
    This paper presents the new benchmark data registra- tion system aimed at facilitating the development and evaluation of the visual odometry and SLAM algorithms. The WiFiBOT LAB V3 wheeled robot equipped with three cameras, XSENS MTi atitude and heading reference system (AHRS) and Hall encoders can be used to gather data in indoor exploration scenarios. The ground truth trajectory of the robot is obtained using the visual motion tracking system. Additional static cameras simulating the surveillance network, as well as artificial markers augmen ting the navigation are incorporated in the system. The datasets registered with the presented system will be freely available for research purposes.
    Źródło:
    Journal of Automation Mobile Robotics and Intelligent Systems; 2013, 7, 2; 46-51
    1897-8649
    2080-2145
    Pojawia się w:
    Journal of Automation Mobile Robotics and Intelligent Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Correction of navigational information supplied to biomimetic Autonomous Underwater Vehicle
    Autorzy:
    Praczyk, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/259696.pdf
    Data publikacji:
    2018
    Wydawca:
    Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
    Tematy:
    underwater navigation
    odometry
    underwater vehicle
    Opis:
    In order to autonomously transfer from one point of the environment to the other, Autonomous Underwater Vehicles (AUV) need a navigational system. While navigating underwater the vehicles usually use a dead reckoning method which calculates vehicle movement on the basis of the information about velocity (sometimes also acceleration) and course (heading) provided by on-board devicesl ike Doppler Velocity Logs and Fibre Optical Gyroscopes. Due to inaccuracies of the devices and the influence of environmental forces, the position generated by the dead reckoning navigational system (DRNS) is not free from errors, moreover the errors grow exponentially in time. The problem becomes even more serious when we deal with small AUVs which do not have any speedometer on board and whose course measurement device is inaccurate. To improve indications of the DRNS the vehicle can emerge onto the surface from time to time, record its GPS position, and measure position error which can be further used to estimate environmental influence and inaccuracies caused by mechanisms of the vehicle. This paper reports simulation tests which were performed to determine the most effective method for correction of DRNS designed for a real Biomimetic AUV.
    Źródło:
    Polish Maritime Research; 2018, 1; 13-23
    1233-2585
    Pojawia się w:
    Polish Maritime Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Application Of Kalman Filter In Navigation Process Of Automated Guided Vehicles
    Autorzy:
    Śmieszek, M.
    Dobrzańska, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/221588.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Kalman filtering
    odometry
    laser measurements
    Opis:
    In the paper an example of application of the Kalman filtering in the navigation process of automatically guided vehicles was presented. The basis for determining the position of automatically guided vehicles is odometry – the navigation calculation. This method of determining the position of a vehicle is affected by many errors. In order to eliminate these errors, in modern vehicles additional systems to increase accuracy in determining the position of a vehicle are used. In the latest navigation systems during route and position adjustments the probabilistic methods are used. The most frequently applied are Kalman filters.
    Źródło:
    Metrology and Measurement Systems; 2015, 22, 3; 443-454
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    On the efficiency of population-based optimization in finding best parameters for RGB-D visual odometry
    Autorzy:
    Kostusiak, Aleksander
    Skrzypczyński, Piotr
    Powiązania:
    https://bibliotekanauki.pl/articles/384397.pdf
    Data publikacji:
    2019
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    particle swarm optimization (PSO)
    evolutionary algorithm
    visual odometry
    RGB-D
    Opis:
    Visual odometry estimates the transformations between consecutive frames of a video stream in order to recover the camera’s trajectory. As this approach does not require to build a map of the observed environment, it is fast and simple to implement. In the last decade RGBD cameras proliferated in roboTIcs, being also the sensors of choice for many practical visual odometry systems. Although RGB-D cameras provide readily available depth images, that greatly simplify the frame-to-frame transformations computaTIon, the number of numerical parameters that have to be set properly in a visual odometry system to obtain an accurate trajectory estimate remains high. Whereas seƫng them by hand is certainly possible, it is a tedious try-and-error task. Therefore, in this article we make an assessment of two population-based approaches to parameter opTImizaTIon, that are for long time applied in various areas of robotics, as means to find best parameters of a simple RGB-D visual odometry system. The optimization algorithms investigated here are particle swarm optimization and an evolutionary algorithm variant. We focus on the optimization methods themselves, rather than on the visual odometry algorithm, seeking an efficient procedure to find parameters that minimize the estimated trajectory errors. From the experimental results we draw conclusions as to both the efficiency of the optimization methods, and the role of particular parameters in the visual odometry system.
    Źródło:
    Journal of Automation Mobile Robotics and Intelligent Systems; 2019, 13, 2; 5-14
    1897-8649
    2080-2145
    Pojawia się w:
    Journal of Automation Mobile Robotics and Intelligent Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Vehicle Navigation Systems Involving Inertial Sensors and Odometry Data from On-Board Diagnostics in Non-GPS Applications
    Autorzy:
    Prusaczyk, Piotr
    Baranowski, Leszek
    Panasiuk, Jarosław
    Powiązania:
    https://bibliotekanauki.pl/articles/950062.pdf
    Data publikacji:
    2019
    Wydawca:
    Uniwersytet Warmińsko-Mazurski w Olsztynie
    Tematy:
    odometry
    inertial systems
    vehicle positioning
    land navigation
    on-board diagnostics system
    Opis:
    This paper explores the applicability of on-board diagnostics data for minimizing inertial navigation errors in vehicles. The results of driving tests were presented and discussed. Knowledge of a vehicle’s exact initial position and orientation was crucial in the navigation process. Orientation errors at the beginning of navigation contributed to positioning errors. GPS data were not processed by the algorithm during navigation.
    Źródło:
    Technical Sciences / University of Warmia and Mazury in Olsztyn; 2019, 22(3); 263-270
    1505-4675
    2083-4527
    Pojawia się w:
    Technical Sciences / University of Warmia and Mazury in Olsztyn
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Implementacja algorytmu do estymacji ruchu własnego robota w układzie FPGA
    Implementation of the Robot Ego-Motion Estimation Algorithm in FPGA Circuits
    Autorzy:
    Kraft, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/156593.pdf
    Data publikacji:
    2011
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    FPGA
    odometria wizyjna
    system wizyjny
    system wbudowany
    visual odometry
    vision system
    embedded system
    Opis:
    W artykule opisano implementację w układzie FPGA systemu, realizującego zadanie szacowania ruchu własnego urządzenia (np. robota mobilnego), wyposażonego w pojedynczą kamerę. Zrealizowano ją w architekturze hybrydowej, sprzętowo-programowej. W artykule przedstawiono szczegółowy opis wynikowej architektury, jak również użycie zasobów układu programowalnego, oraz analizę wydajności systemu, wraz z porównaniem z alternatywnym rozwiązaniem opartym o komputer PC.
    The paper presents implementation of the robot ego-motion estimation algorithm in a single FPGA. The input data for the algorithm are feature correspondences detected in the image sequence registered by a single camera. The implemented system, based on the Microblaze microprocessor along with a dedicated hardware coprocessor, performs all stages of the algorithm - computation of the essential matrix using the 8-point algorithm employing singular value decomposition, robust estimation of the correct essential matrix using the RANSAC algorithm as well as computation of the rotation matrix and the translation vector (up to a scale) from the essential matrix [1, 2]. The system was implemented in a Virtex 5 PFGA and is capable of working with a clock speed of 100MHz. The microprocessor is used to find successive essential matrices using singular value decomposition. The solutions are tested for correctness using the coprocessor with the RANSAC algorithm [3]. The coprocessor employs a reduced, 23-bit floating point number representation to reduce resource usage. Upon successful completion of the essential matrix estimation, rotation and translation are computed. Additional sensors are used to deal with rotation and translation sign ambiguity. Table 1 presents the summary of resources used for implementation. Figure 1 outlines the system architecture. The results obtained are satisfactory and promising. The availability of inexpensive, low power, small footprint solution for ego-motion estimation is desirable for many applications.
    Źródło:
    Pomiary Automatyka Kontrola; 2011, R. 57, nr 1, 1; 6-8
    0032-4140
    Pojawia się w:
    Pomiary Automatyka Kontrola
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Experimental verification of a walking robot self - localization system with the kinect sensor
    Autorzy:
    Nowicki, M.
    Skrzypczyński, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/950763.pdf
    Data publikacji:
    2013
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    3D perception
    salient features
    iterative closest points
    visual odometry
    walking robot
    Opis:
    In this paper we investigate methods for self-localisation of a walking robot with the Kinect 3D active range sensor. The Iterative Closest Point (ICP) algorithm is considered as the basis for the computation of the robot rotation and translation between two viewpoints. As an alternative, a feature-based method for matching of 3D range data is considered, using the Normal Aligned Radial Feature (NARF) descriptors. Then, it is shown that NARFs can be used to compute a good initial estimate for the ICP algorithm, resulting in convergent estimation of the sensor egomotion. Experimental results are provided.
    Źródło:
    Journal of Automation Mobile Robotics and Intelligent Systems; 2013, 7, 4; 42-51
    1897-8649
    2080-2145
    Pojawia się w:
    Journal of Automation Mobile Robotics and Intelligent Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A modular mobile robot for multi-robot applications
    Modułowy robot mobilny przeznaczony do systemów wielorobotowych
    Autorzy:
    Rostkowska, M.
    Topolski, M.
    Skrzypczyński, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/276451.pdf
    Data publikacji:
    2013
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    robot mobilny
    mikrokontroler
    system wielorobotowy
    odometria
    komunikacja
    mobile robot
    microcontroller
    multi-robot systems
    odometry
    communication
    Opis:
    This paper presents the process of designing and constructing a desktop-size mobile robot aimed at multi-robot applications. We present the mechanical structure, the electronics and the software, focusing on the modularity concept, which determines the educational values of the entire design. The decision process underlying the design is presented in details: choosing motors, sensors and crucial electronics components, implementing communication buses, and construction of the additional modules. Possible multi-robot applications of this design are outlined at the end.
    Niniejsza praca przedstawia poszczególne etapy projektowania i konstrukcji miniaturowego, dydaktycznego robota mobilnego własnego pomysłu. Zawarto w niej opis każdego z etapów, ze szczególnym naciskiem na koncepcję modułowości, która stanowi o wartości dydaktycznej całej konstrukcji. Opisano m.in. proces projektowania mechaniki, doboru czujników i najważniejszych elementów, projektowania elektroniki, opis zastosowanych magistral komunikacyjnych oraz opis wytworzonych modułów i programów zawartych w mikrokontrolerach oraz na komputerze PC.
    Źródło:
    Pomiary Automatyka Robotyka; 2013, 17, 2; 288-293
    1427-9126
    Pojawia się w:
    Pomiary Automatyka Robotyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Mathematical Model of Errors of Odometry and Georeferencing Channels in Visual Correlation Extreme Navigation
    Autorzy:
    Mukhina, Maryna Petrivna
    Kharchenko, Volodymyr Petrovych
    Powiązania:
    https://bibliotekanauki.pl/articles/503832.pdf
    Data publikacji:
    2017
    Wydawca:
    Międzynarodowa Wyższa Szkoła Logistyki i Transportu
    Tematy:
    correlation extreme navigation
    visual odometry
    geo-referencing
    feature matching
    cartographic errors
    dead reckoning errors
    Opis:
    The mathematic model of errors in correlation with the extreme navigation system (CENS) is developed basing on odometry and geo-referencing channels. The realization of the model is done in Simulink, and based on regular and random components of additive noise. The results of simulations prove accumulation of errors for odometry errors and its mitigation in case of geo-referencing in periods of correction.
    Źródło:
    Logistics and Transport; 2017, 33, 1; 31-36
    1734-2015
    Pojawia się w:
    Logistics and Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Efficient RGB-D data processing for feature-based self-localization of mobile robots
    Autorzy:
    Kraft, M.
    Nowicki, M.
    Penne, R.
    Schmidt, A.
    Skrzypczyński, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/330295.pdf
    Data publikacji:
    2016
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    visual odometry
    simultaneous localization
    simultaneous mapping
    RGB-D
    tracking
    point features
    odometria wizyjna
    lokalizacja jednoczesna
    śledzenie
    Opis:
    The problem of position and orientation estimation for an active vision sensor that moves with respect to the full six degrees of freedom is considered. The proposed approach is based on point features extracted from RGB-D data. This work focuses on efficient point feature extraction algorithms and on methods for the management of a set of features in a single RGB-D data frame. While the fast, RGB-D-based visual odometry system described in this paper builds upon our previous results as to the general architecture, the important novel elements introduced here are aimed at improving the precision and robustness of the motion estimate computed from the matching point features of two RGB-D frames. Moreover, we demonstrate that the visual odometry system can serve as the front-end for a pose-based simultaneous localization and mapping solution. The proposed solutions are tested on publicly available data sets to ensure that the results are scientifically verifiable. The experimental results demonstrate gains due to the improved feature extraction and management mechanisms, whereas the performance of the whole navigation system compares favorably to results known from the literature.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2016, 26, 1; 63-79
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Wireless communication for control of manipulation systems
    Autorzy:
    Belda, K.
    Rychnovský, V.
    Píša, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/229781.pdf
    Data publikacji:
    2012
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    distributed mechatronic system
    model-based control
    multi-level control
    odometry
    optical sensors
    standard IEEE 802.15.4
    ZigBee protocol
    Opis:
    The paper deals with a novel application of the wireless data communication for a continual control of the distributed manipulation systems. The solution is intended for industrial robotic plants. A considered way of the wireless communication is based on ZigBee protocol. The protocol is tested for a real time bidirectional data communication within a manipulation system. The system consists of several moving manipulation units, several stationary auxiliary units and one control computer. The computer provides the cooperation of all units in the system in relation to the user requirements. The system is controlled by a simple feedback multi-level control realized in MATLAB - Simulink environment. The paper is focused on the realization of the boards of power electronics, transmitters, optical positional sensors, optical gates and their networking in accordance with ZigBee protocol definition. The behavior of the ZigBee is illustrated by several records from real experiments.
    Źródło:
    Archives of Control Sciences; 2012, 22, 1; 29-41
    1230-2384
    Pojawia się w:
    Archives of Control Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Localization of the Wheeled Mobile Robot Based on Multi-Sensor Data Fusion
    Autorzy:
    Jaroszek, P.
    Trojnacki, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/384395.pdf
    Data publikacji:
    2015
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    wheeled mobile robot
    localization
    environment map
    laser scanner
    inertial measurement unit
    odometry
    data fusion
    Monte Carlo localization method
    Opis:
    The paper presents a method of localization of a mobile robot which relies on aggregation of data from several sensors. A review of the state of the art regarding methods of localization of ground mobile robots is presented. An overview of design of the four-wheeled mobile robot used for the research is given. The way of representation of robot environment in the form of maps is described. The localization algorithm which uses the Monte Carlo localization method is described. The simulation environment and results of simulation investigations are discussed. The measurement and control equipment of the robot is described and the obtained results of experimental investigations are presented. The obtained results of simulation and experimental investigations confirm the validity of the developed robot localization method. They are the foundation of further research, where additional sensors supporting the localization process could be used.
    Źródło:
    Journal of Automation Mobile Robotics and Intelligent Systems; 2015, 9, 3; 73-84
    1897-8649
    2080-2145
    Pojawia się w:
    Journal of Automation Mobile Robotics and Intelligent Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-13 z 13

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