CN114482769A

CN114482769A - Method for automatically adjusting opening height of electric tail gate of automobile

Info

Publication number: CN114482769A
Application number: CN202210038029.3A
Authority: CN
Inventors: 赵志定; 周洪涛
Original assignee: Zhejiang Zero Run Technology Co Ltd
Current assignee: Zhejiang Zero Run Technology Co Ltd
Priority date: 2022-01-13
Filing date: 2022-01-13
Publication date: 2022-05-13

Abstract

The invention discloses a method for automatically adjusting the opening height of an electric tail gate of an automobile. The problem that a user with a short height cannot normally close the tail gate due to the fact that the height of an electric tail gate of an automobile cannot be automatically adjusted is solved; the invention adopts the following method: a passenger manually operates a tail gate button to trigger the electric tail gate to open; the car machine system acquires the distance A between a person and the tail of a car through a middle-mounted reversing radar; the car machine system actively opens the car backing image and identifies the head position B of the person in the picture; through the data A and B, height data C is found in a calibration library and is mapped to the corresponding maximum tail gate opening height D; the car machine system sends the maximum opening height D to the tail gate controller, and the tail gate controller completes opening after executing. The method has the advantages that the automatic adjustment of the maximum opening height of the electric tail gate is realized by using the reversing image and the reversing radar of the automobile without adding an additional sensor through a visual recognition algorithm and a calibration method, and the method has great flexibility and adaptability.

Description

Method for automatically adjusting opening height of electric tail gate of automobile

Technical Field

The invention relates to the field of intelligent identification, in particular to a method for automatically adjusting the opening height of an electric tail gate of an automobile.

Background

At present, the general method is that the maximum height for opening the back door can be set in a vehicle machine system of a vehicle, but the method is a fixed height method and has no flexibility and scene for opening different personnel.

For example, a method, an apparatus, a vehicle and a storage medium for adjusting vehicle height disclosed in chinese patent document, whose publication number is CN112519523A, published japanese patent application No. 2021-03-19, includes acquiring gear information and door lock state information of the vehicle, determining whether the gear information and the door lock state information satisfy a preset condition, acquiring current vehicle height information of the vehicle, determining whether the current vehicle height satisfies the preset condition, and controlling the vehicle height to reach the preset height through an active suspension according to a determination result. This patent makes the passenger conveniently open the car back door through the height of adjusting whole car, uses this method can be too troublesome, does not possess flexibility and intellectuality, and is not very big to passenger's use car comfort level and satisfaction improvement.

Disclosure of Invention

The invention mainly solves the problem that the height of the conventional electric tail gate of the automobile can not be automatically adjusted, so that some users with short heights can not normally close the tail gate; a method for automatically adjusting the opening height of an electric tail gate of an automobile is provided.

The technical problem of the invention is mainly solved by the following technical scheme:

the method comprises the following steps:

step 1: a passenger triggers the electric tailgate to open by manually operating the tailgate button;

step 2: the car machine system acquires the distance A between a person and the tail of a car through a middle-mounted reversing radar;

and step 3: the car machine system actively opens the car backing image and identifies the head position B of the person in the picture;

and 4, step 4: through the data A and the data B, height data C are found in a calibration library in a comparison mode and are mapped to the corresponding maximum opening height D of the tail gate;

and 5: the car machine system sends the maximum opening height D to the tail gate controller, and the tail gate controller completes opening after executing.

This scheme of adoption can utilize the image of backing a car of car itself and the radar of backing a car to acquire passenger's height data, and the biggest height of tail-gate when rethread intelligent learning algorithm can deduce the passenger and close the car tail-gate improves flexibility and convenience like this.

Preferably, the specific method in step 3 is as follows:

when the car machine system acquires a car backing image through a car backing camera, the car machine system actively starts a visual detection algorithm module for detection;

after the reversing camera detects a person in the picture, a reversing image is stored and sent to the car machine system;

the car machine system sends the acquired reversing image to a visual detection algorithm module;

the visual detection algorithm module identifies position information B of the head of the target person in the picture according to the reversing image;

and after the identification is finished, the visual detection algorithm module sends the position information B to a calibration library for comparison.

The adoption of the scheme can utilize the reversing camera to acquire the reversing image, and the reversing image is sent to the vision detection algorithm module to identify the head position of a person in the picture, so that the sensor does not need to be installed, and the cost can be reduced.

Preferably, the active start condition detected by the visual detection algorithm module is that the tailgate is open and the angle is opened to 30 degrees horizontally.

When the tail gate is started, the passenger needs to load and unload articles from the trunk, the vision detection algorithm module can acquire required data to perform adaptability adjustment on the tail gate, and the intelligence of the car machine system can be improved.

Preferably, the visual detection algorithm module adopts a deep learning model, and the visual detection algorithm module performs calibration learning through sample materials in the early period.

Preferably, the calibration process is as follows:

a. a tester with the height of C stands at a position A away from the tail of the vehicle;

b. acquiring position information B of the head of a tester in a reversing image picture;

c. acquiring the maximum opening height D of the tail gate when a tester closes the tail gate;

d. changing the size of the distance A, repeating the processes a, b and c, and counting and recording all data A, B, C, D;

e. replacing the testers with different heights C, and repeating the processes a, b, C and d;

f. and counting the data, making all the data information A, B, C, D into a calibration table, and placing the calibration table in the vehicle-mounted machine system.

The adoption of the scheme aims to enable the result calculated by the visual detection algorithm module to be more accurate through the learning of a large number of samples.

Preferably, the test conditions are: the height range of the tester is 1.5m-1.9 m; the distance from the tail of the vehicle ranges from 0.2m to 1.0 m.

Preferably, the specific method in step 4 is as follows:

sending the obtained data information A and B to a calibration library, and comparing the data information A and B with calibration tables in the calibration library;

finding out corresponding passenger height data C by comparing with the calibration table;

mapping to a corresponding maximum tail gate opening height D according to the height data C;

and the calibration library sends the acquired maximum opening height D to the vehicle-mounted machine system.

This scheme of adoption is that people's head positional information and distance information calculate passenger's accurate height information in can the image of backing a car that obtains, can improve the intelligence of whole car, also can improve passenger's the experience of using the car.

The invention has the beneficial effects that: the automatic adjustment of the maximum opening height of the electric tail gate is realized by using the reversing image and the reversing radar of the automobile without adding an additional sensor through a visual recognition algorithm and a calibration method, so that the automatic adjustment has great flexibility and self-adaptability, the intelligence of the whole automobile can be improved, and the automobile using experience of a user can also be improved.

Drawings

FIG. 1 is a flow chart of the present invention.

Detailed Description

The technical scheme of the invention is further specifically described by the following embodiments and the accompanying drawings.

Example (b):

the method for automatically adjusting the opening height of the electric tailgate of the automobile needs to acquire and learn a large amount of sample information before use, and comprises the following steps:

a. firstly, a tester with the height of C stands at a position which is a specified distance from the tail A of the vehicle, and a reversing radar acquires distance information A;

b. then, a reversing image is obtained through a reversing camera, and position information B of the head of a tester in a reversing image picture is recorded;

c. trying to enable a tester to close the tail gate of the automobile, and recording the maximum opening height D of the tail gate when the tester closes the tail gate;

d. setting the range of the distance A from the tail of the vehicle to be 0.2m-1.0m, repeating the processes a, b and c every 0.02m, and counting and recording all data A, B, C, D;

e. setting the height C of the tester to be 1.5m-1.9m, and repeating the processes a, b, C and d for the tester with the height difference of 0.01m-0.03 m;

f. and counting the data, making all data information A, B, C, D into calibration tables, and placing the calibration tables in the vehicle machine system, wherein a visual detection algorithm module in the vehicle machine system adopts a deep learning model, and calibration learning is performed on a calibration table sample material in the vehicle machine system.

According to the sample data, the car-on-board unit system can adjust the height of the tail gate according to the obtained data and passengers with different heights, so that the passengers can operate conveniently, and the specific implementation method is as shown in fig. 1:

step 1: the passenger triggers the electric tail gate to open through manually operating the tail gate button.

Step 2: the car machine system obtains the distance A between a person and the tail of the car through the middle reversing radar.

And step 3: the car machine system actively opens the car backing image and identifies the head position B of a person in the picture, and the specific implementation method comprises the following steps:

step 31: when the car machine system acquires a car backing image through the car backing camera, the tail gate is opened, and the angle is opened to be 30 degrees horizontally, the visual detection algorithm module is actively started to detect;

step 32: after the reversing camera detects a person in the picture, a reversing image is stored and sent to the car machine system;

step 33: the car machine system receives the car backing image and sends the acquired car backing image to the visual detection algorithm module;

step 34: the visual detection algorithm module identifies position information B of the head of a target person in the picture according to the received backing image;

step 35: and after the identification is finished, the visual detection algorithm module sends the position information B to a calibration library for comparison.

And 4, step 4: through the data A and B, the corresponding height data C is found in the calibration library by comparison and is mapped to the corresponding maximum opening height D of the tail gate, and the method comprises the following steps:

step 41: sending the obtained data information A and B to a calibration library, and comparing the data information A and B with calibration tables in the calibration library;

step 42: obtaining corresponding passenger height data C by comparing and searching with a calibration table;

step 43: mapping to a corresponding maximum tail gate opening height D according to the obtained height data C;

and step 44: and the calibration library sends the acquired maximum opening height D to the vehicle-mounted machine system.

And 5: the car machine system sends the maximum opening height D to the tail gate controller, the tail gate controller completes opening after executing, and passengers can easily contact with the car tail gate and can operate when closing the tail gate.

This embodiment can utilize the image of backing a car and the radar of backing a car of car itself to obtain the car machine system and carry out a large amount of sample data collection earlier stage, the sample data that will gather is as the sample material of visual detection algorithm module virtual seat, adopt the image of backing a car of car itself and the radar of backing a car need not increase extra sensor again, can reduce car machine system cost, rethread visual identification algorithm and calibration method, realize that electronic tail-gate opens the automatically regulated of maximum height, very big flexibility and adaptability have, can improve the intelligence of whole car, also can improve user's experience with the car.

It should be understood that the examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Further, it should be understood that various changes or modifications of the present invention may be made by those skilled in the art after reading the teaching of the present invention, and such equivalents may fall within the scope of the present invention as defined in the appended claims.

Claims

1. A method for automatically adjusting the opening height of an electric tail gate of an automobile is characterized by comprising the following steps:

2. The method for automatically adjusting the opening height of the electric tailgate of the automobile according to claim 1, wherein the specific method in the step 3 is as follows:

3. The method for automatically adjusting the opening height of the electric tailgate of the automobile according to claim 2, wherein the active starting condition detected by the vision detection algorithm module is that the tailgate is opened and the angle is opened to 30 degrees horizontally.

4. The method for automatically adjusting the opening height of the electric tail gate of the automobile according to claim 2, wherein the visual detection algorithm module adopts a deep learning model, and the visual detection algorithm module performs calibration learning through sample materials at a previous stage.

5. The method for automatically adjusting the opening height of the electric tail gate of the automobile according to claim 4, wherein the calibration process comprises the following steps:

6. The method for automatically adjusting the opening height of the electric tailgate of the automobile according to claim 5, wherein the test conditions are as follows: the height range of the tester is 1.5m-1.9 m; the distance from the tail of the vehicle ranges from 0.2m to 1.0 m.

7. The method for automatically adjusting the opening height of the electric tailgate of the automobile according to claim 1 or 5, wherein the specific method in the step 4 is as follows: