Electric pleasure boat target detection and distance measurement system based on binocular vision

By adopting binocular vision and optimized network structure in the electric cruise ship object detection and ranging system, the shortcomings of traditional systems in detecting small targets and capturing global information are solved, and higher accuracy and user experience are achieved.

CN119723040APending Publication Date: 2025-03-28SHANDONG JIAOTONG UNIV
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Patent Information

Application Number
CN202411776246.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-05
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

Traditional electric cruise ship target detection and ranging systems are difficult to detect small target obstacles in water surface navigation environments, and existing algorithms cannot effectively capture global dependencies in global context information and feature maps, affecting accuracy and performance.

Method used

The electric cruise ship object detection and ranging system based on binocular vision is adopted, and the network structure is optimized through algorithm optimization modules and shared convolution modules, the fusion ability of multi-scale features is enhanced, and important regional and global dependencies in the image are captured using the CBAM attention mechanism and the GCSA module.

Benefits of technology

It improves the accuracy and computing efficiency of target detection, enhances feature expression ability and receptive field, can better capture small targets and global information in the water, and improves user experience.

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Abstract

The invention discloses an electric pleasure boat target detection and distance measurement system based on binocular vision. The system comprises a binocular camera shooting assembly; according to the invention, through the algorithm optimization module and the shared convolution module, the network structure is optimized, the fusion capability of multi-scale features is enhanced, the model parameter quantity is greatly reduced, and the calculation efficiency and precision are improved; the importance of each channel is adaptively adjusted through the channel attention module and the space attention module, so that the model can better pay attention to an important area in an image and better capture the relationship between different channels, and the expression ability and the sensitivity of features are improved; by using a novel global channel space attention module, a global dependency relationship in a feature map can be comprehensively captured, so that the performance of the model is further improved; through the map storage assembly, the route of the water area can be recorded and updated, the navigation route can be rapidly provided for the water area without large changes during repeated navigation, and the use experience of a user is improved.
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