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Ship navigation auxiliary system and method based on deep learning and visual SLAM

A deep learning and navigation assistance technology, applied in the field of ship navigation, can solve the problems of constraints, high cost of ship information collection and sharing, and low efficiency of shipping intelligence, and achieve the effect of ensuring effective monitoring.

Pending Publication Date: 2020-12-18
四川智海联科技有限公司
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Problems solved by technology

[0008] The purpose of the present invention is to provide a ship navigation assistance system and method based on deep learning and visual SLAM, so as to solve some disadvantages in the current shipping information management and service level proposed by the above-mentioned background technology. The high cost of information collection and sharing has become a major bottleneck restricting the development of shipping

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  • Ship navigation auxiliary system and method based on deep learning and visual SLAM
  • Ship navigation auxiliary system and method based on deep learning and visual SLAM
  • Ship navigation auxiliary system and method based on deep learning and visual SLAM

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Embodiment Construction

[0033] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0034] see Figure 1-5 , the present invention provides a technical solution: a ship navigation assistance system based on deep learning and visual SLAM, including a smart terminal, an Internet of Things platform, a streaming media server, a video analysis and processing module and a target recognition and tracking module, a streaming media server, video The analysis and processing module and the target identification and tracking mod...

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Abstract

The invention discloses a ship navigation auxiliary system and method based on deep learning and visual SLAM, and the system comprises an intelligent terminal, an IOT platform, a streaming media server, a video analysis processing module, and a target recognition tracking module. The streaming media server, the video analysis processing module and the target recognition tracking module are all ininteractive connection with the IOT platform, the IOT platform is in interactive connection with the intelligent terminal, and a semi-automatic labeling module is installed in the intelligent terminalin an embedded mode. According to the ship navigation auxiliary system and method based on deep learning and visual SLAM, the active sensor (such as radar, visible light camera and thermal imaging camera) detection technology, the passive sensor (such as AIS and GPS) detection technology and the highly-fused real-time situation and cognition technology are combined, so that real-time detection, dynamic tracking, intelligent early warning and historical backtracking are carried out on a target in a specific region, the ship safety is guaranteed, and the ship and surrounding targets of the shipare effectively monitored.

Description

technical field [0001] The invention relates to the technical field of ship navigation, in particular to a ship navigation assistance system and method based on deep learning and visual SLAM. Background technique [0002] Shipping is the mode of transportation that transports people or goods by water transport. Shipping occupies an important position in international trade and my country's national transportation due to its outstanding advantages such as large transportation volume, low energy consumption, low cost and environmental protection. The development of intelligent shipping will have important significance in the following aspects: improve the shipping capacity; improve the safety of shipping. [0003] The Internet of Things is based on the communication networks such as the Internet and mobile communication networks, aiming at the needs of different application fields, using intelligent objects with sensing, communication and computing capabilities to automatical...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06T17/00G06T7/246G06T7/207G06N3/08G16Y40/10G16Y40/20G01D21/02
CPCG06T17/00G06T7/246G06T7/207G06N3/08G16Y40/10G16Y40/20G01D21/02G06V20/41G06V2201/07G06F18/2414G06F18/25
Inventor 李鹭
Owner 四川智海联科技有限公司
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