A weather phenomenon recognition system and method for assisting automatic driving of vehicles

An automatic driving and recognition system technology, applied in the field of image recognition, can solve the problems of complex weather image background information, expensive weather condition recognition, etc., achieve good recognition accuracy and recognition speed, high segmentation efficiency, and reduce dependence.

Active Publication Date: 2020-08-25
YANCHENG DONGFANG TIANCHENG MACHINERY
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these deep learning methods usually require large-scale data sets as support, and can only be effectively trained on high-end GPUs, which makes them very expensive in weather condition recognition. In addition, due to the complex background information in weather images , the current CNN model has certain defects in the discrimination of abstract weather information
Therefore, it is currently difficult to widely apply these methods to end-devices in the transportation field

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A weather phenomenon recognition system and method for assisting automatic driving of vehicles
  • A weather phenomenon recognition system and method for assisting automatic driving of vehicles
  • A weather phenomenon recognition system and method for assisting automatic driving of vehicles

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment 1

[0041] combine figure 1 , the present invention proposes a weather phenomenon recognition system for assisting automatic driving of vehicles, the recognition system includes an ARM processor, and a vehicle-mounted camera, a remote server, a vehicle-mounted LCD display and a communication module respectively connected to the ARM processor; The above-mentioned ARM processor, vehicle camera, vehicle LCD display and communication module are carried on the vehicle.

[0042] The on-vehicle camera captures weather images of the scene where the vehicle is located in real time according to the control instructions of the ARM processor, and transmits the captured images to the ARM processor.

[0043] After the ARM processor preprocesses the weather image, the weather image is divided into two parts: a sky image containing weather information in the sky area and a ground image including weather information in the ground area, and then the sky image, the ground image and the weather image...

specific Embodiment 2

[0059] Based on the aforementioned weather phenomenon recognition system, the present invention also refers to a weather phenomenon recognition method for assisting automatic driving of a vehicle, the recognition method comprising:

[0060] S1, using the on-board camera to capture weather images in real time.

[0061] S2. After the weather image is preprocessed, the weather image is divided into two parts: a sky image including weather information in the sky area and a ground image including weather information in the ground area.

[0062] S3, extract sky features from the sky image, extract ground features from the ground image, extract global features from the weather image, and import the extracted sky features, ground features and global features into Softmax for classifying weather phenomena A classifier to identify the category of weather phenomena.

[0063] S4, quantify and identify the categories of weather phenomena, and transmit the quantified results to the automat...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a weather phenomenon recognition system for assisting automatic driving of vehicles, which includes an ARM processor, and a vehicle-mounted camera, a remote server, a vehicle-mounted LCD display screen and a communication module respectively connected to the ARM processor; the vehicle-mounted camera shoots the vehicle in real time The weather image of the scene; the ARM processor divides the weather image into two parts: the sky image containing the weather information of the sky area and the ground image including the weather information of the ground area; the remote server will receive the weather image, the sky image and the ground image Import the weather phenomenon recognition model to identify the weather phenomenon type corresponding to the current weather image. The invention extracts the local features of the sky, the local features of the ground and the global features respectively, and imports the classifier after fusion to identify six weather phenomena of sunny, cloudy, snowy, rainy, foggy and sandy days, reducing the dependence on the number of samples , high-accuracy weather phenomenon recognition results can be achieved based on medium-sized weather image datasets.

Description

technical field [0001] The present invention relates to the technical field of image recognition, in particular to a weather phenomenon recognition system and method for assisting automatic driving of vehicles. Background technique [0002] Severe weather conditions can have a great impact on car driving. Severe weather conditions such as rain, snow, fog, sand and dust will reduce visibility and road friction coefficient, which may cause traffic jams and serious traffic accidents, with great potential danger. A weather phenomenon recognition system for assisting automatic driving of automobiles can effectively avoid serious traffic accidents and improve driving efficiency under severe weather conditions through real-time monitoring of the weather environment and comprehensive utilization of traffic information. For example, you can set the speed limit in bad weather conditions, remind you to keep the distance between cars, automatically turn on the wipers in rainy days, and...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08B60W50/14
CPCG06N3/08B60W50/14B60W2050/146G06N3/045G06F18/24G06F18/253
Inventor 夏景明宣大伟
Owner YANCHENG DONGFANG TIANCHENG MACHINERY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap