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Offshore road complex environment visibility optimization screen display method based on multiple sensors

A multi-sensor, complex environment technology, applied in neural learning methods, instruments, image data processing, etc., can solve problems such as difficult to achieve real-time performance

Inactive Publication Date: 2021-02-02
SHANDONG JIAOTONG UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the current research on visibility optimization technology for complex environments is immature and difficult to achieve real-time performance, it is necessary to conduct comprehensive and in-depth research on visibility optimization and screen display methods for complex environments on sea roads, which is of great significance for improving driver safety at night.

Method used

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  • Offshore road complex environment visibility optimization screen display method based on multiple sensors
  • Offshore road complex environment visibility optimization screen display method based on multiple sensors
  • Offshore road complex environment visibility optimization screen display method based on multiple sensors

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Experimental program
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Embodiment Construction

[0096] Optimizing screen display method based on multi-sensor visibility in complex environment of sea roads, such as figure 1 shown, including the following steps,

[0097] Step 1. Establish a complex weather environment image classifier and perform image classification

[0098] The industrial camera unit collects images, and transmits them to the adverse visual environment image perception classifier module 8, establishes an adverse visual environment image training library, uses the low visibility environment image perception Gaussian mixture model GMM classifier and the low visibility environment image support vector machine SVM classifier respectively Classify hazy foggy days, nighttime rainy days, and foggy nighttime images, and classify the hazy foggy days, nighttime rainy days, and foggy nighttime images classified by the low-visibility image Gaussian mixture model GMM classifier and the hazy yellowishness classified by the support vector machine SVM classifier Foggy...

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Abstract

An offshore road complex environment visibility optimization screen display method based on multiple sensors belongs to the technical field of intelligent safe auxiliary driving, and comprises the steps: 1, establishing a complex weather environment image classifier and performing image classification; 2, establishing a low-visibility offshore road image recovery model in dark yellow and foggy days; 3, establishing a night rainy day low-visibility offshore road image enhancement model; 4, constructing a foggy day night low-visibility offshore road image enhancement model; 5, starting a vehicle-mounted display screen for display in a self-adaptive visual enhancement manner; 6, constructing a dangerous target detection model and an anti-collision early warning strategy. The method is suitable for marine and road environments at the same time, images in faint yellow foggy days, night rainy days and foggy days and night can be enhanced, the current visual environment is improved through the self-adaptive visual field enhancement device by means of the optimal image recovery method, and the visual enhancement effect is achieved.

Description

technical field [0001] The invention belongs to the technical field of intelligent safety assisted driving, and in particular relates to a multi-sensor-based method for optimizing the screen display of visibility in complex environments on sea roads. Background technique [0002] Studies have shown that driving at night is more dangerous than during the day. The main reasons that affect the safety of driving at night include the glare of high beams, the limited range of illumination of car lights, and the existence of blind spots. Fatigue, low visibility, and small lighting range of vehicles driving at night make it difficult for the driver to observe road traffic conditions. At the same time, the driver's driving proficiency and the driver's psychological state will also lead to the driver's misjudgment of the driving environment. Therefore, it is very necessary to optimize the visibility and danger warning in complex environments, and it has become a research hotspot at ho...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T7/90G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06T7/90G06N3/08G06T2207/10024G06T2207/20081G06T2207/20084G06T2207/30252G06V20/584G06V2201/08G06N3/045G06F18/2411G06T5/90G06T5/73
Inventor 陈梅王秋铖
Owner SHANDONG JIAOTONG UNIV
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