Science publications

MOBINAV Project

Analysis of Beam Sharpening Effectiveness in Broadband Radar on Inland Waters [PDF]

Analysis of Graph Searching Algorithms for Route Planning in Inland Navigation [PDF]

Technology of Spatial Data Geometrical Simplification in Maritime Mobile Information System for Coastal Waters [PDF]

Implementation of Voyage Assistant Module in Mobile Navigation System for Inland Waters [PDF]

Integrated presentation of navigational data in a mobile navigation system for inland waters with the use of HUD [PDF]

Ocena przekazu kartograficznego mobilnej nawigacji śródlądowej MOBINAV [PDF]

HydroDron Project

The concept of anti-collision system of autonomous surface vehicle [PDF]

Shore Construction Detection by Automotive Radar for the Needs of Autonomous Surface Vehicle Navigation [PDF]

Universal Autonomous Control and Management System for Multipurpose Unmanned Surface Vessel [PDF]

The Empirical Application of Automotive 3D Radar Sensor for Target Detection for an Autonomous Surface Vehicle’s Navigation [PDF]

Precise Bathymetry as a Step Towards Producing Bathymetric Electronic Navigational Charts for Comparative (Terrain Reference) Navigation [PDF]

Methodology for Processing of 3D Multibeam Sonar Big Data for Comparative Navigation [PDF]

Accuracy of Trajectory Tracking Based on Nonlinear Guidance Logic for Hydrographic Unmanned Surface Vessels [PDF]

Hydrodron — New Step for Professional Hydrography for Restricted Waters [PDF]

Multibeam Echosounder and LiDAR in Process of 360-Degree Numerical Map Production for Restricted Waters with HydroDron [PDF]

SHREC Project

Automatic Watercraft Recognition and Identification on Water Areas Covered by Video Monitoring as Extension for Sea and River Traffic Supervision Systems [PDF]

The Hough transform in the classification process of inland ships [PDF]

Automatic Classification Using Machine Learning for Non-Conventional Vessels on Inland Waters [PDF]

Vessel Detection and Tracking Method Based on Video Surveillance [PDF]

Interpolation merge as augmentation technique in the problem of ship classification [PDF]

On-water video surveillance: data management for a ship identification system [PDF]

Application of Geofencing Technology for the Purpose of Spatial Analyses in Inland Mobile Navigation

Managing Depth Information Uncertainty in Inland Mobile Navigation Systems

INNOBAT Project

Concept of an Innovative Autonomous Unmanned System for Bathymetric Monitoring of Shallow Waterbodies (INNOBAT System) [PDF]

Study on the positioning accuracy of GNSS/INS systems supported by DGPS and RTK receivers for hydrographic surveys [PDF]

Analysis of GNSS, Hydroacoustic and Optoelectronic Data Integration Methods Used in Hydrography [PDF]

Analysis of Methods for Determining Shallow Waterbody Depths Based on Images Taken by Unmanned Aerial Vehicles [PDF]

Analysis of Transformation Methods of Hydroacoustic and Optoelectronic Data Based on the Tombolo Measurement Campaign in Sopot [PDF]

Integration Data Model of the Bathymetric Monitoring System for Shallow Waterbodies Using UAV and USV Platforms [PDF]

Study on the Positioning Accuracy of the GNSS/INS System Supported by the RTK Receiver for Railway Measurements [PDF]

Determining the Seasonal Variability of the Territorial Sea Baseline in Poland (2018-2020) Using Integrated USV/GNSS/SBES Measurements [PDF]

Other science publications by Marine Technology Ltd.

Full Implementation of the River Information Services of Border and Lower Section of the Odra in Poland [PDF]

Self-organizing Artificial Neural Networks into Hydrographic Big Data Reduction Process [PDF]

Hierarchical Hydrographic Data Fusion for Precise Port Electronic Navigational Chart Production [PDF]

Radar Sensors Planning for the Purpose of Extension of River Information Services in Poland [PDF]

Cartographic aspects of radar information integration in mobile navigation system for inland waters

Radar Water Level Sensors for Full Implementation of the River Information Services of Border and Lower Section of the Oder in Poland

Radar and Automatic Identification System Track Fusion in an Electronic Chart Display and Information System [PDF]

Clustering Bathymetric Data for Electronic Navigational Charts [PDF]

Classification of Non-Conventional Ships Using a Neural Bag-Of-Words Mechanism [PDF]

Problem of Bathymetric Big Data Interpolation for Inland Mobile Navigation System

Selection of an artificial pre-training neural network for the classification of inland vessels based on their images [PDF]

Automatic ship classification for a riverside monitoring system using a cascade of artificial intelligence techniques including penalties and rewards

Mobile River Navigation for Smart Cities

Side-Scan Sonar Analysis Using ROI Analysis and Deep Neural Networks

Model of Collaborative Data Exchange for Inland Mobile Navigation

Integration of Spatial Data from External Sensors in the Mobile Navigation System for Inland Shipping

Exchange of Navigational Information between VTS and RIS for Inland Shipping User Needs

Radar sensors implementation in river information services in Poland [PDF]

Analysis of Radar Integration Possibilities in Inland Mobile Navigation

FMCW Radar Implementation in River Information Services in Poland [PDF]

Simplification methods for line and polygon features in mobile navigation systems for inland waters [PL]

Interpolating Bathymetric Big Data for an Inland Mobile Navigation System

Selection of SOM Parameters for the Needs of Clusterization of Data Obtained by Interferometric Methods [PDF]

Location Determination of Radar Sensors by Using LIDAR data

Sensor Data Fusion Techniques for Environment Modelling [PDF]

MSIS Image Postioning in Port Areas with the Aid of Comparative Navigation Methods [PDF]

Selection of Geocomposition Components for the Mobile Inland Water Navigation System Based on Users' Need

Comparison of Selected Clustering Algorithms of Raw Data Obtained by Interferometric Methods Using Artificial Neural Networks [PDF]

Comparison of Selected Reduction Methods of Bathymetric Data Obtained by Multibeam Echosounder [PDF]

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