Artur Janowski
University of Warmia and Mazury in Olsztyn
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Artur Janowski.
Polish Maritime Research | 2015
Jakub Szulwic; Paweł Burdziakowski; Artur Janowski; Marek Przyborski; Paweł Tysiąc; Aleksander Wojtowicz; Arthem Kholodkov; Krzysztof Matysik; Maciej Matysik
Abstract The rapid development of scanning technology, especially mobile scanning, gives the possibility to collect spatial data coming from maritime measurement platforms and autonomous manned or unmanned vehicles. Presented solution is derived from the mobile scanning. However we should keep in mind that the specificity of laser scanning at sea and processing collected data should be in the form acceptable in Geographical Information Systems, especially typical for the maritime needs. At the same time we should be aware that data coming from maritime mobile scanning constitutes a new approach to the describing of maritime environment and brings a new perspective that is completely different than air and terrestrial scanning. Therefore, the authors, would like to present results of an experiment aimed at testing the possibilities of using mobile scanning at sea. Experiment was conducted in the harbour and the associated environment of neighbouring southern coast of the Baltic Sea.
International Conference on Rough Sets and Intelligent Systems Paradigms | 2014
Artur Janowski; Aleksander Nowak; Marek Przyborski; Jakub Szulwic
The publication describes the possible use of tele-geoprocessing as a synergy of modern IT solutions, telecommunications and GIS algorithms. The paper presents a possibility of urban traffic monitoring with the use of mobile GIS indicators of dedicated monitoring system designed for taxi corporation. The system is based on a stationary and mobile software package. The optimal and minimal assumptions for the monitoring of urban traffic are described. They can be implemented as a verification or supplementary tool for complex and high cost transportation management systems or throughput of city streets monitoring systems. The authors show limitations of standard monitoring and GNSS positioning in urban area. They indicate the possible improvement in the functionality of the application to the calculation of supplementary vector data of possible trajectories and based on it, the correction of the data received from the satellite positioning.
Journal of The Indian Society of Remote Sensing | 2013
Artur Janowski; Jacek Rapinski
This paper proposes a new approach to 3D modeling on the basis of laser scanner data. It presents the attempt to automatically detect two planes and an edge in one processing algorithm. The algorithm is based on the Msplit estimation, which is a recently developed regression method of multi functional models. Plane equations in three dimensional space are derived on the basis of the presented method. Msplit estimation divides the functional model of least squares adjustment in particular into two groups. Both simulated and real data from airborne laser scanning is tested to present the results. In each case the mehod gave good results which encourages for further work on the application of this method for 3D modeling.
Canadian Journal of Remote Sensing | 2012
Wioleta Błaszczak-Bąk; Artur Janowski; Waldemar Kamiński; Jacek Rapinski
Airborne laser scanning (ALS) provides survey results in the form of a point cloud. The ALS point cloud is a source of data used primarily for constructing a digital terrain model (DTM). To generate a DTM, the set of ALS observations must be first subjected to the point cloud processing methodology. A standard methodology is composed of the following stages: acquisition of the ALS data, initial processing (including filtration), and the main processing (including DTM generation). Problems primarily concerning the time span necessary for processing a very high number of observations occur at each of the stages mentioned above. In previous studies the authors proposed modification of the ALS point cloud methodology. The modification introduced an optimization algorithm to reduce the size of the survey dataset at the stage of initial processing. Those studies analyzed the “optimization–filtration” and “filtration–optimization” variants, applying methods based on the multi (M) estimation principle at the filtration stage. This study presents a modified process of the initial data processing stage with the application of filtration using the adaptive triangulated irregular network (TIN) model and an optimization algorithm. The algorithm used the Visvalingam–Whyatt generalization method.
15th International Multidisciplinary Scientific GeoConference SGEM2015 | 2011
Artur Janowski; Jakub Szulwic; Paweł Tysiąc; Aleksander Wojtowicz
Measurements of sea cliffs performed using periodic surveying based on laser scanning is currently one of the fastest and most accurate solutions. Supported with the technology of satellite measurements using GNSS (Global Navigation Satellite System) positioning and photographic measurements with the use of aerial vehicle, they enable an effective monitoring of the sea cliffs affected by the erosion. In case of the coast of southern Baltic, there are also the cliffs with a low angle of inclination and terraces; additionally there is a restriction concerning an access to the cliff from the shore side because of the narrow or nonexistent lane of the beach. Hence there is a need for synergy of mobile measurements (Maritime Laser Scanning, MarLS) with airborne measurements (LiDAR).
Journal of remote sensing | 2015
Wioleta Błaszczak-Bąk; Artur Janowski; Waldemar Kamiński; Jacek Rapinski
ALS point cloud filtering involves the separation of observations representing the physical terrain surface from those representing terrain details. A digital terrain model (DTM) is created from a subset of points representing the ground surface. The accuracy of the generated DTM is influenced by several factors, including the survey method used, the accuracy of the source data, the applied DTM generation algorithm, and the survey conditions. This article proposes the use of a new estimation method in the filtering of point clouds obtained from airborne laser scanning (ALS), provisionally called Msplit-estimation. The application of Msplit-estimation in ALS data filtering requires the determination of the appropriate functional model for the surface, which will be used in the filtering of the set of points. A polynomial terrain surface model was selected for this purpose. Two methods of filtering using the Msplit method are presented. The first is based on the estimated parameters of the polynomial describing the surface (called the ‘quality’ approach in the article). The second method (provisionally called the ‘quantity’ method) is carried out in two stages. The first stage is point cloud filtering, which results in two subsets being created. One of these is the subset of points intended for DTM creation, while the other contains the remaining points. The second stage of the approach is the creation of a DTM from the first subset. Since the Msplit method has an analytical character, the ATIN method was selected to verify the correct operation of the method. The ATIN method is based on computational geometry and uses repeated Delaunay triangulation and statistical evaluation of the geometric parameters. Comparison of Msplit with a method based on different principles mitigates errors arising from similarly functioning methods belonging to the same group of filters. The choice of the ATIN method was also dictated by its established position among filtering algorithms. The method is well-known, documented, and verified and this ensures that filtering by this method provides a reliable result that can serve as a reference for comparison with the proposed new filtering method. The theoretical discussion presented in this article was verified with two practical examples. The results obtained from computation by the Msplit method with appropriate terrain models encourage more detailed theoretical and empirical tests of this method for the filtering and segmentation of ALS data-sets.
16th International Multidisciplinary Scientific GeoConference SGEM2016 | 2016
Paweł Burdziakowski; Artur Janowski; Marek Przyborski; Jakub Szulwic
A traditional approach to manned vehicles navigation uses a data combined form a variety of navigation sensors like satellite, inertial and time-of-flight. With support of operators perception, chart and sensor, data are analyzed and navigation decisions are made. An unmanned platforms navigation needs an operators support, who is supervising a platforms decision process, basing on navigation data obtained via variety of electronic sensors. Majority of unnamed platform are equipped with a single visible light camera, in order to transmit an actual information on platforms surroundings. It helps operator to react on dynamically changing navigation situation. That fact lead us to a thesis, that a visual data generated by a single nonmetric camera can be a good source of navigation information for plotting own platform trajectory and support an autonomous navigation process.
federated conference on computer science and information systems | 2014
Magdalena Błażek; Maria Kazmierczak; Artur Janowski; Katarzyna Mokwa; Marek Przyborski; Jakub Szulwic
Recent developments in imaging cameras has opened a new way of analyzing facial expression. We would like to take advantage from this new technology and present a method of imaging and processing images of human face as a response to the particular stimuli. The response in this case is represented by the facial expressions and the stimuli are still images representing six basic emotions according to Eckmann. Working hypothesis of presented research, states that the new method of tracking facial expressions is more precise and distinctive enough to give characteristic description of the analyzed human face. The biggest advantage of the presented method, in the opinion of research team, is the fact that it uses remote sensing techniques and presents dynamics of the changes happening on the human face. Therefore, FMRI might not be required, which decreases the costs of experiments, additionally, method is less stressful for the examined persons and provides more natural reactions.
16th International Multidisciplinary Scientific GeoConference SGEM2016 | 2016
Katarzyna Bobkowska; Artur Janowski; Marek Przyborski; Jakub Szulwic
The article presents the use of modern close range photogrammetry for possessing highly accurate 3D models of the human face (including the ears). Modern methods used to obtain precise data describing the construction of a human face, and even the whole human body, should allow to get finished measurement material in a very short time. Those features belong to the optical scanning technology. Comparative analysis of models of the human face has been made (created from the cloud of points obtained from optical scanner) for the same person as well as for two different persons. Among other things, the parameters describing the similarity of a human face (in particular, the similarity of the human ear) based primarily on the analysis of the differences between the points of the model (comparison of several hundred thousand points on the model) were determined. Ultimately, these parameters can be used to identify persons. Considering the great opportunities presented methods, other potential applications have been presented.
Reports on Geodesy and Geoinformatics | 2016
Daria Filipiak-Kowszyk; Artur Janowski; Waldemar Kamiński; Karolina Makowska; Jakub Szulwic; Krzysztof Wilde
Abstract The study raises the issues concerning the automatic system designed for the monitoring of movement of controlled points, located on the roof covering of the Forest Opera in Sopot. It presents the calculation algorithm proposed by authors. It takes into account the specific design and location of the test object. High forest stand makes it difficult to use distant reference points. Hence the reference points used to study the stability of the measuring position are located on the ground elements of the sixmeter-deep concrete foundations, from which the steel arches are derived to support the roof covering (membrane) of the Forest Opera. The tacheometer used in the measurements is located in the glass body placed on a special platform attached to the steel arcs. Measurements of horizontal directions, vertical angles and distances can be additionally subject to errors caused by the laser beam penetration through the glass. Dynamic changes of weather conditions, including the temperature and pressure also have a significant impact on the value of measurement errors, and thus the accuracy of the final determinations represented by the relevant covariance matrices. The estimated coordinates of the reference points, controlled points and tacheometer along with the corresponding covariance matrices obtained from the calculations in the various epochs are used to determine the significance of acquired movements. In case of the stability of reference points, the algorithm assumes the ability to study changes in the position of tacheometer in time, on the basis of measurements performed on these points.