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Visual information fusion system and method for vehicle positioning

A technology of visual information and vehicle positioning, applied in neural learning methods, radio wave measurement systems, using re-radiation, etc., can solve the problems of positioning algorithm failure, visual information loss, etc., to improve robust performance, improve environmental adaptability, The effect of improving the accuracy and reliability of the algorithm

Pending Publication Date: 2019-08-13
SUZHOU GST INFOMATION TECH CO LTD
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Specifically, the existing vehicle positioning methods usually rely on the information of a single visual sensor. The defect is that the visual information of the visual sensor is often lost in some special cases, such as being blocked, violently shaking, etc., which leads to the failure of the positioning algorithm. fail

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  • Visual information fusion system and method for vehicle positioning
  • Visual information fusion system and method for vehicle positioning

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Embodiment Construction

[0051] Aiming at the defects of the prior art, the present invention proposes a visual information fusion system and method for vehicle positioning, specifically as follows.

[0052] Such as figure 1 As shown, a visual information fusion system for vehicle positioning, including:

[0053] The vehicle-mounted visual sensor module is used to obtain image information in the external environment;

[0054] The online visual information processing module is used to process the image information output by the vehicle-mounted visual sensor module and form a deep neural network model;

[0055] An off-line training module for training a deep neural network model and copying the network parameters obtained in the training phase to the online visual information processing module;

[0056] The output end of the vehicle-mounted visual sensor module is respectively connected to the input end of the online visual information processing module and the input end of the offline training module...

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Abstract

The invention discloses a visual information fusion system and method for vehicle positioning. The system comprises a vehicle-mounted visual sensor module, an online visual information processing module and an offline training module. The output end of the vehicle-mounted visual sensor module is in signal connection with the input end of the online visual information processing module and the input end of the offline training module. The offline training module is used for training the proposed deep neural network and copying the network parameters obtained in the training stage to the onlinevisual information processing module. According to the invention, the image information acquired by the plurality of visual sensors in the vehicle-mounted visual sensor module can be effectively utilized, the problem that a positioning system cannot work normally under the condition that a single sensor fails is avoided through the complementation of the image information, and the vehicle positioning precision and the algorithm reliability are improved.

Description

technical field [0001] The invention relates to a visual information fusion system and method, in particular to a visual information fusion system and method for vehicle positioning, belonging to the field of vehicle navigation or unmanned vehicle positioning. Background technique [0002] Vehicle positioning is an important technology in the field of vehicle navigation and unmanned driving. At present, most smart vehicles are equipped with visual sensor modules to complete tasks such as environmental perception, visual navigation, and target recognition. The current common vehicle vision sensor module usually contains one or more vision sensors. These vision sensors can collect images around the vehicle. The images contain rich environmental information and are an important source of information for the vehicle carrier to perceive the environment. In recent years, thanks to the rapid development of technologies such as computer vision and machine learning, more and more res...

Claims

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Application Information

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IPC IPC(8): G06K9/62G01C21/26G01S11/12G06N3/04G06N3/08
CPCG01C21/26G01S11/12G06N3/08G06N3/045G06F18/251Y02T10/40
Inventor 苏岩
Owner SUZHOU GST INFOMATION TECH CO LTD
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