Monocular vision-based nighttime front vehicle detection method
A technology of the vehicle ahead and the detection method, which is applied in the directions of instruments, character and pattern recognition, computer parts, etc., can solve the problems of large pairing errors and inaccurate detection targets, and achieve the effect of good application value.
Active Publication Date: 2017-02-15
XIAN UNIV OF TECH
View PDF9 Cites 11 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0009] The purpose of the present invention is to provide a night-time front vehicle detection method based on monocular vision, which solves the problems of large matching errors and inaccurate detection targets in the existing night-time 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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0066] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0067] A kind of nighttime front vehicle detection method based on monocular vision of the present invention, comprises the following steps:
[0068] Step 1, collect images, and detect the headlights of the vehicle ahead at night based on the CenSurE operator to obtain strong corner points;
[0069] Step 2: Segment the vehicle ahead at night based on the light color information to obtain the segmented area;
[0070] Step 3, select the region that occupies the most strong corner points in step 1 in the segmented region in step 2, and obtain the detection region;
[0071] Step 4, perform vehicle light pairing on the detection area in step 3, and determine the position of the target vehicle.
[0072] The operation steps of step 1 are as follows:
[0073] Step 1.1, take pictures and collect images, calculate the value of the corresponding inte...
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
Login to View More Abstract
The invention discloses a monocular vision-based nighttime front vehicle detection method. The method includes the following steps that: 1, images are acquired, and vehicle lamp detection is performed on a nighttime front vehicle based on a CenSurE operator, so that strong corner points can be obtained; 2, nighttime front vehicle segmentation is carried out based on vehicle lamp color information, so that segmented regions can be obtained; 3, a region with the most strong corner points is selected from segmented regions obtained in the step 2, so that a detection region can be obtained; and 4, vehicle lamp matching is performed on the detection region, so that the location of a target vehicle can be determined. According to the method of the invention, the CenSurE operator under a plurality of scales is calculated, the results of the CenSurE operator are detected, and vehicle matching operation is carried out, and therefore, the problems of large matching error and inaccurate target detection of an existing night nighttime front vehicle detection method can be solved. The monocular vision-based nighttime front vehicle detection method has a high application value.
Description
technical field [0001] The invention belongs to the technical field of night target detection methods, and in particular relates to a nighttime front vehicle detection method based on monocular vision. Background technique [0002] The rapid growth of automobiles has aggravated the occurrence of road traffic accidents, especially the frequent occurrence of traffic accidents at night, which has brought huge losses to people's lives and property. Vision-based target detection technology provides the possibility for target detection in night traffic scenes. Since the matching of feature points between adjacent frames of the multi-eye (including binocular) vision system has a large amount of calculation, when the number of vehicles is large, the real-time performance is poor. Therefore, based on monocular Vision vehicle detection technology came into being. However, most of the existing vehicle detection technologies based on monocular vision are suitable for the daytime traffi...
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
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/60
CPCG06V20/56G06V10/20G06V2201/08G06V2201/07
Inventor 蒋卓韵戴芳赵凤群
Owner XIAN UNIV OF TECH