Disclosed herein are an apparatus and method for extracting ocean wave information. The apparatus for extracting ocean wave information includes a radar image reception unit for receiving a radar image from a radar antenna, a digital conversion unit for converting the received radar image into a digital format, an analysis preparation unit for setting analysis sections of the radar image and performing temporal accumulation on the analysis sections, a three-dimensional (3D) spectrum-conversion unit for converting accumulated analysis sections into a 3D spectrum in a 3D frequency domain by performing a temporal/spatial 3D Fast Fourier Transform (FFT) on the accumulated analysis sections, and an ocean wave information extraction unit for extracting ocean wave information based on the 3D spectrum.

A real-time radar surveillance system comprises at least one land-based non-coherent radar sensor apparatus adapted for detecting maneuvering targets and targets of small or low radar cross-section. The radar sensor apparatus includes a marine radar device, a digitizer connected to the marine radar device for receiving therefrom samples of radar video echo signals, and computed programmed to implement a software-configurable radar processor generating target data including detection data and track data, the computer being connectable to a computer network including a database. The processor is figured to transmit at least a portion of the target data over the network to the database, the database being accessible via the network by at least one user application that receives target data from the database, the user application providing a user interface for at least one user of the system.

Techniques are disclosed for systems and methods to provide relatively accurate position data from a plurality of separate position sensors. A system includes a logic device configured to first and second position sensors each coupled to a mobile structure at respective first and second locations. The logic device is configured to receive position data corresponding to a position of the mobile structure from the position sensors, determine weighting factors corresponding to the received position data, and determine a measured position for the mobile structure based, at least in part, on the received position data and the determined weighting factors.

The present invention relates to a vessel traffic service system and a method for extracting accident data, and more particularly, to a technique that search and extracts possible event traffic data automatically from data of a concerned area without knowing exact time when a marine accident occurs. The vessel traffic service system includes: an input unit receiving conditional information for extracting accident occurrence data from a user; a storage unit storing at least one of an automatic identification system (AIS) signal, a radar signal, and a camera image signal; and a control unit extracting an event occurrence part from at least one of the AIS signal, the radar signal, and the camera image signal of a point and a time at which an accident occurs in accordance with the conditional information to generate an accident candidate list.

The present disclosure relates to a system and a method for monitoring vessel traffic information. The system for monitoring vessel traffic information includes: an interlock device configure to adjust identification information of a wireless terminal included in a received message to correspond to an identification system of auto identification system (AIS) message and convert the received message into a AIS message type, when receiving a message including ship information from a wireless terminal of a ship located in at least one ship network; a merging device configure to merge the ship information included in the converted AIS message with radar image information; and a monitoring device configure to display merged monitoring information on a monitoring screen.

Real-time monitoring of surroundings of a marine vessel. One or more observation sensor modules are configured and positioned to generate sensor data extending around the marine vessel. One or more data processors are configured to map and visualize the sensor data in relation to a virtual model of the marine vessel. A user interface is configured to display the virtual model together with the visualized sensor data from a user selectable point of view to a mariner of the marine vessel.

A real-time radar surveillance system comprises at least one land-based non-coherent radar sensor apparatus adapted for detecting maneuvering targets and targets of small or low radar cross-section. The radar sensor apparatus includes a marine radar device, a digitizer connected to the marine radar device for receiving therefrom samples of radar video echo signals, and computed programmed to implement a software-configurable radar processor generating target data including detection data and track data, the computer being connectable to a computer network including a database. The processor is figured to transmit at least a portion of the target data over the network to the database, the database being accessible via the network by at least one user application that receives target data from the database, the user application providing a user interface for at least one user of the system.

A real-time radar surveillance system comprises at least one land-based non-coherent radar sensor apparatus adapted for detecting maneuvering targets and targets of small or low radar cross-section. The radar sensor apparatus includes a marine radar device, a digitizer connected to the marine radar device for receiving therefrom samples of radar video echo signals, and computer programmed to implement a software-configurable radar processor generating target data including detection data and track data, the computer being connectable to a computer network including a database. The processor is figured to transmit at least a portion of the target data over the network to the database, the database being accessible via the network by at least one user application that receives target data from the database, the user application providing a user interface for at least one user of the system.

A method of detecting vessels is described. A vessel is detected if a match exists between an object detection from each of two or more detectors 100, based on data obtained by the two or more detectors 100, which are selected from: an RF antenna 102; a light sensor 104; a radar detector 106; and an Automatic Identification System receiver 108. A method for detecting the presence of vessels at night is also described. The method comprises detecting a plurality of blobs within image data, applying an image mask to the image data to remove regions of the image data that are associated with having static objects and to retain the remaining portions of the image data, identifying one or more clusters of the detected plurality of blobs within the retained image data, and determining the presence of one or more vessels based on the one or more identified clusters.

Examples include a system for controlling traffic signalling devices at an intersection, including a first radar sensor that detects road users in a first detection region on a first traffic route, outputting first radar sensor data indicating first sensor detected positions and a first sensor detected radial velocities, and a second radar sensor that detects road users in a second detection region on a second traffic route, outputting second sensor data indicating second sensor detected positions and a second sensor detected velocities. The first radar sensor and second radar sensor are at different locations, or different orientations, or both, and configured such that the first and second detection region have an overlap. An electronic data processing device combines the first radar sensor data and second radar sensor data into combination signals, and controls the traffic signalling devices based at least partially on the combination signals.