Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Vulnerable road user joint detection method

A joint detection and user technology, applied in the fields of instruments, biological neural network models, calculations, etc., can solve the problems of multiple scanning, confusing detection results, inability to distinguish pedestrians, electric vehicles, etc., and achieve the effect of accurate classification and precise positioning.

Active Publication Date: 2016-06-01
TSINGHUA UNIV +1
View PDF2 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although these vulnerable road users often appear in the driving environment at the same time, traditional object detection methods detect these objects separately, which not only results in multiple scans of the input image, but also results in confusing detection results that cannot be distinguished Pedestrians, cyclists or motorcyclists

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
  • Vulnerable road user joint detection method
  • Vulnerable road user joint detection method
  • Vulnerable road user joint detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] In order to make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be described in more detail below in conjunction with the drawings in the embodiments of the present invention. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are some, but not all, embodiments of the invention. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention. Embodiments of the present invention will be described in detail below ...

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 vulnerable road user joint detection method, and the method comprises an offline training stage and an online target detection stage. The offline training stage comprises the steps: 1), building a vulnerable road user database which comprises a training sample set and a test sample set; 2), constructing a VRU detector, which can recognize a vulnerable road user target from the background, according to the training sample set. The online target detection stage comprises the step: 3), carrying out the classification and positioning of targets in the test sample set through employing the VRU detector, and outputting a detection result. The method can be used for the protection of vulnerable road users in an advanced driving auxiliary system, and also can provide help for the decision of an unmanned vehicle.

Description

technical field [0001] The invention relates to the field of computer vision technology and smart cars, in particular to a joint detection method for vulnerable road users in a vehicle driving environment. Background technique [0002] In the last ten or twenty years, the rapid development of advanced driver assistance systems (such as adaptive cruise system, forward collision warning system, etc.) has improved road traffic safety. However, those vulnerable road users (English full name is "VulnerableRoadUsers", referred to as "VRU"), such as pedestrians, cyclists (hereinafter referred to as "cyclists"), people riding electric vehicles (hereinafter referred to as "Electric vehicle riders") and other small two-wheeled vehicle occupants receive limited protection. According to the 2013 WHO road safety report, nearly half of the world's traffic accident deaths are vulnerable road users, and in some low- and middle-income countries, the proportion of the most vulnerable pedestr...

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): G06K9/00G06K9/62G06N3/02
CPCG06N3/02G06V40/10G06V2201/07G06F18/214G06F18/24
Inventor 李克强李晓飞王建强许庆王肖熊辉孔周维
Owner TSINGHUA UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com