Method and system for detecting vehicle in blind area and method and system for early warning lane change of vehicle

A vehicle detection and vehicle technology, which is applied in vehicle components, CCTV systems, vehicle safety arrangements, etc., can solve problems such as poor safety, poor real-time system response, and large amount of calculation, so as to improve safety, reduce the number of matches, The effect of reducing the amount of calculation

Active Publication Date: 2015-04-15
BYD CO LTD
View PDF7 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a blind spot vehicle detection method for the problems of poor real-time system response and poor security caused by the large calculation amount of the existing blind spot vehicle detection method

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
  • Method and system for detecting vehicle in blind area and method and system for early warning lane change of vehicle
  • Method and system for detecting vehicle in blind area and method and system for early warning lane change of vehicle
  • Method and system for detecting vehicle in blind area and method and system for early warning lane change of vehicle

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0054] In order to make the technical problems, technical solutions and beneficial effects solved by the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0055] Such as figure 1 As shown, an embodiment of the present invention provides a blind spot vehicle detection method, comprising the following steps:

[0056] S1. Collect images including blind spots of vehicle rearview mirrors;

[0057] S2. Using a feature-based vehicle recognition method to select an image region of interest where a vehicle may exist in the above image; feature-based methods are also called knowledge-based methods (Knowledge-Based Methods). Vehicles driving on the road have some obvious features in grayscale images: shape features, which are gener...

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 provides a method for detecting a vehicle in a blind area. The method comprises the following steps: step1, collecting an image containing the blind area of a rearview mirror of the vehicle; step2, selecting a region of interest of the image, in which the vehicle possibly exists, in the image by a vehicle recognition method based on characteristics; and step3, performing scanning and matching in the region of interest of the image to detect the vehicle by an Adaboost algorithm. According to the method for detecting the vehicle in the blind area disclosed by the invention, after the image containing the blind area of the rearview mirror of the vehicle is collected, firstly the region of interest of the image, in which the vehicle possibly exists, is selected in the image by the vehicle recognition method based on the characteristics and then the vehicle is detected by scanning and matching the region of interest of the image by the Adaboost algorithm. In such a way, regions except the region of interest of the image on the image of the blind area are not required to scan, match and detect so that the number of matching is greatly decreased; the calculated amount and the calculated time of a system are reduced; the real-time property of the system is improved; and finally the safety of the vehicle is improved.

Description

technical field [0001] The invention relates to the technical field of vehicle safety assisted driving, in particular to a blind spot vehicle detection method and system, and a vehicle lane change early warning method and system. Background technique [0002] With the continuous increase of automobiles, traffic accidents caused by changing lanes continue to increase, and such accidents usually cause traffic jams and cause traffic delays. Studies have shown that if the driver is given a warning 1 second before a potential traffic accident occurs, 90% of similar traffic accidents can be avoided. Therefore, fast and accurate detection of vehicles in the lane-changing blind zone, identification of the distance between the vehicle and the vehicle and the speed of the vehicle, and timely warning when the driver performs a lane-changing operation can greatly improve the safety of lane-changing. [0003] Generally speaking, there are two reasons for the driver's side visual blind s...

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): B60R1/00B60R21/01H04N7/18
CPCB60R1/00B60R21/01B60R2300/105B60R2300/30
Inventor 丁赞徐波
Owner BYD CO LTD
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