Rail transit obstacle avoidance system based on image processing and target recognition

A target recognition and rail transit technology, applied in the field of rail transit obstacle avoidance systems, can solve the problems of low precision and high false alarm rate, and achieve the effects of improving accuracy, reducing false alarm rate, and facilitating perception.

Active Publication Date: 2020-07-28
CHANGSHA CHAOCHUANG ELECTRONICS TECH
View PDF12 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In order to solve the technical problems of the high false alarm rate of the rail transit obstacle avoidance system in the prior art and the low accuracy of dividing the warning area under the complex railway track, the present invention provides a rail transit obstacle avoidance system based on image processing and target recognition

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
  • Rail transit obstacle avoidance system based on image processing and target recognition
  • Rail transit obstacle avoidance system based on image processing and target recognition
  • Rail transit obstacle avoidance system based on image processing and target recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042]The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0043] In the description of the present invention, it should be understood that the orientations or positional relationships indicated by "front", "rear", "left", "right", "upper" and "lower" in terms are based on those shown in the accompanying drawings. Orientation or positional relationship is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the referred device or element must h...

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 rail transit obstacle avoidance system based on image processing and target recognition. The rail transit obstacle avoidance system comprises a data acquisition module, an artificial intelligence processing module and a display control module; a collected image is segmented through the artificial intelligence processing module, so that the train running track can be marked quickly and accurately, and the warning area can be divided more accurately; obstacle detection is carried out through a millimeter-wave radar to obtain orientation and distance information of the target; targets such as personnel, vehicles and trains in the collected images are recognized through the artificial intelligence processing module, target image coordinates are obtained and fused withradar data, whether obstacles exist or not is comprehensively judged, and an alarm is given if the obstacles are in a warning area. The video data can be uploaded to the display control module in real time through the Ethernet. Image segmentation is carried out on the rail, so that warning area division is more accurate; and through image target identification and radar detection, the target identification accuracy can be effectively improved, the false alarm rate is reduced, and the alarm accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of visual obstacle avoidance, in particular to a rail transit obstacle avoidance system based on image processing and target recognition. Background technique [0002] Image processing and target recognition is an important field of artificial intelligence, which refers to the technology of processing, analyzing and understanding images to identify various types of targets and objects. Image-based target recognition needs to roughly go through several steps such as image acquisition, data enhancement (such as rotation, flipping, cropping, adding noise, etc.), model training, segmentation, and recognition. Compared with the traditional expressway, the environment of rail transit has its uniqueness, especially the intersection of multiple railroad tracks, and the traditional recognition algorithm is easy to mistakenly identify the targets on other tracks. [0003] In the traditional rail transit signal system...

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 Applications(China)
IPC IPC(8): G06K9/00G06K9/34G06T5/00G06T5/40G08B13/196
CPCG06T5/003G06T5/40G08B13/19602G06V20/40G06V10/267
Inventor 鲁新平曲原葛龙刘欢张俊佳刘云剑余知音
Owner CHANGSHA CHAOCHUANG ELECTRONICS TECH
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