Inland river navigation channel traffic flow detection method based fusion of AIS and radar data

Abstract

The invention provides an inland river navigation channel traffic flow detection method based fusion of AIS and radar data. The method comprises steps of erecting an AIS base station and a radar device in a cross section of a to-be-detected traffic flow, selecting a rectangular region including the cross section and covering the rectangular region through AIS signals and radar signals; in the rectangular region, using the AIS to acquire dynamic data and static state data; using radar scanning to calculate ship speed, navigation angle, position and size of each ship; through history ship information, using the depth learning method to fuse the data obtained through the AIS and the radar and carry out classification identification; and identifying the ships passing the cross section and determining traffic flows. According to the invention, ships equipped with the AIS devices can be identified; small ships without AIS devices can be identified by use of the radar features; real-time ship traffic flow accumulation is achieved; and accuracy and efficiency of counting of the traffic flows are improved.

Description

technical field [0001] The invention relates to the field of multi-data fusion, in particular to an inland waterway traffic flow detection method based on the fusion of AIS and radar data. Background technique [0002] So far, the statistics of inland river traffic flow mainly rely on manpower to conduct statistics at different sections every day, identify ships with the naked eye, and summarize them every month. The current statistical method is relatively primitive, and the data update is slow, so it cannot be real-time. Observation of river traffic flow. Moreover, the current statistical traffic flow only counts the number of ships, and does not carry out classification statistics on the tonnage distribution of ships. good stats. [0003] At present, some achievements have been made in the management of inland ships, such as the authorized patent CN102419913A, the authorization date is August 21, 2011, and the patent name is "a management system and method for ship gate...

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Problems solved by technology

Zhai Yishu used the theory of extension in his paper "Research on the Mathematical Model of AIS and Radar Data Fusion" to conduct simulation experiments on the data fusion of AIS and radar target tracks, taking into account the problems of time calibration and space coincidence, and the avoidance of ships. It has a good effect on the collision problem, and it has not been studied from the aspects of traffic flow statistics and identification of small and medium ships

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