Method for efficiently judging false target of vehicle-mounted radar

A vehicle-mounted radar and false target technology, applied in the field of target tracking, can solve the problems such as the false target track cannot be truly identified, the target tracking is unstable, and the tracking is discontinuous. Effects of Continuity and Stability

Pending Publication Date: 2022-04-12
NANJING DESAY SV AUTOMOTIVE CO LTD
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the above assumptions are very broad, so that some false target tracks cannot be truly identified
[0004] Moreover, the current common vehicle-mounted radar target tracking is basically that the radars on one side complete the target detection and tracking separately. When the target passes from the detection area of ​​one side of the radar to the other side of the radar detection area, it is easy to appear that the tracking of the radar target on one side is interrupted, and the target on the other side is interrupted. Target tracking is initially unstable, resulting in discontinuous tracking

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 for efficiently judging false target of vehicle-mounted radar
  • Method for efficiently judging false target of vehicle-mounted radar
  • Method for efficiently judging false target of vehicle-mounted radar

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] The vehicle-mounted radar false target efficient judgment method in the present embodiment comprises the following steps,

[0027] S1: The vehicle-mounted radar detects the target track, and enters the target track tracking state after track initiation, track association, and track matching;

[0028] S2: Use the Kalman filter algorithm to track and obtain the target's current position x_filter, y_filter, driving speed vx_filter, vy_filter and driving acceleration ax_filter, ay_filter;

[0029] S3: Use multi-frame dot traces to directly estimate the target's driving speed Speed_optimized;

[0030] S4: Comparing the filter values ​​vx_filter, vy_filter and the estimated value Speed_optimized, if the preset condition is met, it is determined that the current target is a false target.

[0031] Preferably, in step S1, the vehicle-mounted radar includes a left-side vehicle-mounted radar disposed on the left side of the vehicle, and a right-side vehicle-mounted radar disposed...

Embodiment 2

[0038] The vehicle-mounted radar false target efficient judgment method in the present embodiment comprises the following steps,

[0039] S1: The vehicle-mounted radar detects the target track, and enters the target track tracking state after track initiation, track association, and track matching;

[0040] S2: Use the Kalman filter algorithm to track and obtain the target's current position x_filter, y_filter, driving speed vx_filter, vy_filter and driving acceleration ax_filter, ay_filter;

[0041] S3: Use multi-frame dot traces to directly estimate the target's driving speed Speed_optimized;

[0042] S4: Comparing the filter values ​​vx_filter, vy_filter and the estimated value Speed_optimized, if the preset condition is met, it is determined that the current target is a false target.

[0043] Preferably, in step S1, the vehicle-mounted radar includes a left-side vehicle-mounted radar disposed on the left side of the vehicle, and a right-side vehicle-mounted radar disposed...

Embodiment 3

[0055] The vehicle-mounted radar false target efficient judgment method in the present embodiment comprises the following steps,

[0056] S1: The vehicle-mounted radar detects the target track, and enters the target track tracking state after track initiation, track association, and track matching;

[0057] S2: Use the Kalman filter algorithm to track and obtain the target's current position x_filter, y_filter, driving speed vx_filter, vy_filter and driving acceleration ax_filter, ay_filter;

[0058] S3: Use multi-frame dot traces to directly estimate the target's driving speed Speed_optimized;

[0059] S4: Comparing the filter values ​​vx_filter, vy_filter and the estimated value Speed_optimized, if the preset condition is met, it is determined that the current target is a false target.

[0060] In step S1, the vehicle-mounted radars on both sides carry out target tracking and fusion through the steps in Embodiments 1 and 2; in step S3, directly estimating the driving speed ...

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 belongs to the technical field of target tracking, and particularly relates to a vehicle-mounted radar false target efficient judgment method, which comprises the following steps that S1, a vehicle-mounted radar detects a target trace point, and enters a target track tracking state after track initiation, track association and track matching; s2, the current positions xfilter and yfilter, the running speeds vxfilter and vyfilter and the running accelerations axfilter and ayfilter of the target are obtained through tracking by means of a Kalman filtering algorithm, and the current positions xfilter and yfilter, the running speeds vxfilter and vyfilter and the running accelerations axfilter and ayfilter of the target are obtained; s3, the traveling speed of the target is directly estimated by means of the multiple frames of trace points; and S4, comparing the filtering values vxfilter and vyfilter with the estimated value Speeded, and if the filtering values vxfilter and vyfilter meet a preset condition, determining that the current target is a false target. According to the method for efficiently judging the false target of the vehicle-mounted radar, the vehicle-mounted radar tracks the target continuously and stably, and the algorithm implementation process is simple and efficient; therefore, the method not only can effectively improve the false target judgment efficiency, is high in implementation applicability and simple to implement, but also can effectively improve the radar target tracking accuracy.

Description

technical field [0001] The invention belongs to the technical field of target tracking, and in particular relates to a method for efficiently judging a vehicle-mounted radar false target. Background technique [0002] The target detection and tracking process based on vehicle-mounted radar, especially diagonal radar, is prone to violent jitter when the track initiation and tracking in the close-range target detection area, large target tracking splits out false tracks and generates false alarms, and radars are installed for large-angle detection Inaccurate detection of stationary targets in the area or false movement tracks caused by associated tracking errors, these false tracks may lead to false positives or missed negatives in blind zone detection. [0003] Most of the common false target judgments are based on the following prior knowledge: 1) There is a maximum and minimum range for the tracking speed of short-distance targets; 2) Based on the rigid motion of the vehicl...

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): G01S13/931
Inventor 周琼峰季丹
Owner NANJING DESAY SV AUTOMOTIVE 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