Radar water level sensors for full implementation of the river information services of border and lower section of the Oder in Poland

Marine Technology Ltd. developed in 2015 functional-utility program of full implementation of River Information Services (RIS) of border and lower section of the Oder in Poland. The full implementation of the RIS is designed to introduce River Information Services in a wider area compared with the pilot implementation and to develop the scope of provided services. The works are to be based on the base of technologies checked in the pilot implementation, including conclusions which will allow in particular to increase the ergonomics of the system. The provision of information services that will make it possible to increase safety on inland waterways and will significantly increase the level of access and harmonization of navigation information. In the article aspects of microwave sensors - radar water level sensors implementation are described.

[1]  Jacek Lubczonek.  Analysis of accuracy of surveillance radar image overlay by using georeferencing method , 2015, 2015 16th International Radar Symposium (IRS).

[2]  Artur Janowski,et al.  Maritime Laser Scanning as the Source for Spatial Data , 2015 .

[3]  Andrzej Stateczny,et al.  FMCW radar implementation in River Information Services in Poland , 2015, 2015 16th International Radar Symposium (IRS).

[4]  Andrzej Stateczny,et al.  Radar sensors implementation in river information services in Poland , 2014, 2014 15th International Radar Symposium (IRS).

[5]  Jacek Lubczonek.  Hybrid Neural Model of the Sea Bottom Surface , 2004, ICAISC.

[6]  Andrzej Stateczny,et al.  Concept of Neural Model of the Sea Bottom Surface , 2003 .

[7]  Witold Kazimierski,et al.  Analysis of the Possibility of Using Radar Tracking Method Based on GRNN for Processing Sonar Spatial Data , 2014, RSEISP.

[8]  Witold Kazimierski.  Problems of data fusion of tracking radar and AIS for the needs of integrated navigation systems at sea , 2013, 2013 14th International Radar Symposium (IRS).

[9]  Marek Przyborski,et al.  Possible determinism and the real world data , 2002 .

[10]  Marta Wlodarczyk-Sielicka,et al.  Self-organizing Artificial Neural Networks into Hydrographic Big Data Reduction Process , 2014, RSEISP.

[11]  J. Lubczonek.  Application of GIS techniques in VTS radar stations planning , 2008, 2008 International Radar Symposium.

[12]  Dariusz Frejlichowski,et al.  Effect of Density of Measurement Points Collected from a Multibeam Echosounder on the Accuracy of a Digital Terrain Model , 2012, ACIIDS.

[13]  W. Maleika.  The influence of the grid resolution on the accuracy of the digital terrain model used in seabed modeling , 2015, Marine Geophysical Research.

[14]  Artur Janowski,et al.  Mobile Indicators in GIS and GPS Positioning Accuracy in Cities , 2014, RSEISP.

[15]  A. Stateczny.  The Neural Method Of Sea Bottom ShapeModelling For The Spatial Maritime InformationSystem , 2000 .

[16]  Andrzej Stateczny.  Artificial Neural Networks for Comparative Navigation , 2004, ICAISC.

[17]  Natalia Wawrzyniak,et al.  Model of Collaborative Data Exchange for Inland Mobile Navigation , 2014, ACS.

[18]  Natalia Wawrzyniak,et al.  Managing Depth Information Uncertainty in Inland Mobile Navigation Systems , 2014, RSEISP.

[19]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[20]  Andrzej Stateczny,et al.  Radar and Automatic Identification System Track Fusion in an Electronic Chart Display and Information System , 2015 .

[21]  J. Lubczonek.  Application of modified method of viewshed analysis in radar sensor network planning on inland waterways , 2012, 2012 13th International Radar Symposium.

[22]  Artur Janowski,et al.  An unorthodox view on the problem of tracking facial expressions , 2014, 2014 Federated Conference on Computer Science and Information Systems.

[23]  Wojciech Maleika.  Moving average optimization in digital terrain model generation based on test multibeam echosounder data , 2014, Geo-Marine Letters.

[24]  Natalia Wawrzyniak,et al.  Exchange of Navigational Information between VTS and RIS for Inland Shipping User Needs , 2014, TST.

[25]  Wojciech Maleika.  The influence of track configuration and multibeam echosounder parameters on the accuracy of seabed DTMs obtained in shallow water , 2013, Earth Science Informatics.

[26]  Jerzy Balicki,et al.  Extended Hopfield models of neural networks for combinatorial multiobjective optimization problems , 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

[27]  Andrzej Stateczny,et al.  Fusion of data from AIS and tracking radar for the needs of ECDIS , 2013, 2013 Signal Processing Symposium (SPS).

[28]  Jacek Lubczonek,et al.  Comparative analysis of radar image compression methods , 2015, 2015 16th International Radar Symposium (IRS).

[29]  W. Kazimierski,et al.  A comparison of the target tracking in marine navigational radars by means of GRNN filter and numerical filter , 2008, 2008 IEEE Radar Conference.

[30]  Andrzej Stateczny,et al.  Sensor data fusion in inland navigation , 2013, 2013 14th International Radar Symposium (IRS).

[31]  Wojciech Maleika,et al.  Development of a Method for the Estimation of Multibeam Echosounder Measurement Accuracy , 2012 .

[32]  Izabela Bodus-Olkowska,et al.  Hierarchical Hydrographic Data Fusion for Precise Port Electronic Navigational Chart Production , 2014, TST.

[33]  Andrzej Stateczny,et al.  Selection of GRNN network parameters for the needs of state vector estimation of maneuvering target in ARPA devices , 2006, Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA).

[34]  Artur Janowski,et al.  WEB-CAM AS A MEANS OF INFORMATION ABOUT EMOTIONAL ATTEMPT OF STUDENTS IN THE PROCESS OF DISTANT LEARNING , 2014 .

[35]  Andrzej Stateczny,et al.  Analysis of beam sharpening effectiveness in broadband radar on inland waters , 2015, 2015 16th International Radar Symposium (IRS).

[36]  Andrzej Stateczny.  Neural Manoeuvre Detection of the Tracked Target in ARPA Systems , 2001 .

[37]  Marek Przyborski,et al.  Reliability of the Navigational Data , 2003, IIS.

[38]  Andrzej Stateczny,et al.  Sensor data fusion techniques for environment modelling , 2015, 2015 16th International Radar Symposium (IRS).

[39]  Marta Wlodarczyk-Sielicka,et al.  Selection of SOM parameters for the needs of clusterization of data obtained by interferometric methods , 2015, 2015 16th International Radar Symposium (IRS).

[40]  Andrzej Stateczny,et al.  Aspects of spatial planning of radar sensor network for inland waterways surveillance , 2009, 2009 European Radar Conference (EuRAD).

[41]  A Stateczny.  Methods Of Comparative Plotting Of The Ship’s Position , 2002 .

[42]  W. Kazimierski,et al.  Determining manoeuvre detection threshold of GRNN filter in the process of tracking in marine navigational radars , 2008, 2008 International Radar Symposium.

[43]  Andrzej Stateczny,et al.  Radar sensors planning for the purpose of extension of River Information Services in Poland , 2015, 2015 16th International Radar Symposium (IRS).

[44]  Andrzej Stateczny,et al.  Diffraction of a Gaussian beam in a three-dimensional smoothly inhomogeneous medium: an eikonal-based complex geometrical-optics approach. , 2006, Journal of the Optical Society of America. A, Optics, image science, and vision.

[45]  Natalia Wawrzyniak,et al.  Analysis of radar integration possibilities in inland mobile navigation , 2015, 2015 16th International Radar Symposium (IRS).

[46]  Andrzej Stateczny,et al.  Clustering Bathymetric Data for Electronic Navigational Charts , 2016 .