CN-121999550-A - Dynamic calibration method, non-inductive starting method, device, medium and electronic equipment

CN121999550ACN 121999550 ACN121999550 ACN 121999550ACN-121999550-A

Abstract

The invention relates to a Bluetooth key dynamic calibration method based on visual guidance, a Bluetooth key non-inductive starting method, a Bluetooth key non-inductive starting device, a Bluetooth key medium and electronic equipment. The Bluetooth key dynamic calibration method comprises the steps of prompting a user to use an intelligent terminal to scan a preset calibration image at a specific position of a vehicle, judging whether the intelligent terminal can stably identify the preset calibration image, starting Bluetooth broadcasting of the intelligent terminal when the intelligent terminal can stably identify the preset calibration image, and informing the vehicle to dynamically calibrate the Bluetooth broadcasting sent by the intelligent terminal. The invention can realize sub-meter positioning precision under a single-node Bluetooth architecture, filter electromagnetic interference signals and cover various intelligent terminals.

Inventors

LU MIN
LIU QI
ZHOU XIANGYU
XU JIE
WU DONGHAI

Assignees

上汽海外出行科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260129

Claims (15)

1. The method for dynamically calibrating the Bluetooth key based on visual guidance is characterized by comprising the following steps of: Prompting a user to scan a preset calibration image at a specific location of the vehicle using the intelligent terminal; Judging whether the intelligent terminal can stably identify the preset calibration image or not; when the intelligent terminal can stably identify the preset calibration image, starting Bluetooth broadcasting of the intelligent terminal; And notifying the vehicle to dynamically calibrate the Bluetooth broadcast sent by the intelligent terminal.
2. The method of claim 1, wherein determining whether the intelligent terminal is able to stably identify the preset calibration image comprises: Acquiring a plurality of image frames acquired by the intelligent terminal in a first time period; calculating the difference between each image frame and the preset calibration image; And when the differences of all the image frames acquired in the first time period meet the threshold requirement, the intelligent terminal can stably identify the preset calibration image.
3. The method according to claim 2, wherein the method further comprises: Continuously judging whether the intelligent terminal can stably identify the preset calibration image during the calibration period of the vehicle; and when the intelligent terminal cannot stably identify the preset calibration image, notifying the vehicle to finish calibration, and notifying the user that the preset calibration image is not identified.
4. The method of claim 3, wherein continuously determining whether the intelligent terminal is able to stably identify the preset calibration image comprises: acquiring a plurality of image frames acquired by the intelligent terminal in a plurality of continuous first time periods; calculating the difference between each image frame and the preset calibration image; And when the differences of all the image frames acquired in the continuous multiple first time periods do not meet the threshold requirement, the intelligent terminal cannot stably identify the preset calibration image.
5. The method according to claim 4, wherein the method further comprises: When the differences of all the image frames acquired in the single first time period do not meet a threshold requirement, not informing the vehicle to finish calibration, and prompting the user to aim at the preset calibration image; When the difference of the partial image frames acquired in the single first time period does not meet a threshold requirement, the vehicle is not informed to finish calibration, and the user is not prompted to align the preset calibration image.
6. The method according to claim 2, wherein the method further comprises: And when any image frame acquired by the intelligent terminal is not acquired in a second time period, informing the user that the preset calibration image is not identified, wherein the second time period is greater than the first time period.
7. The method according to claim 1, wherein the method further comprises: acquiring a calibration result returned by the vehicle, and informing the user that the calibration is overtime when the calibration result returned by the vehicle is not acquired in a third time period; After the Bluetooth broadcast of the intelligent terminal is started, judging whether the door, the front and rear vehicle covers, the window and the skylight of the vehicle are closed or not, judging that the power mode of the vehicle is in a starting state, and informing the vehicle to dynamically calibrate the Bluetooth broadcast sent by the intelligent terminal when the door, the front and rear vehicle covers, the window and the skylight of the vehicle are closed and the power mode of the vehicle is in the starting state; Continuously judging whether the doors, the front and rear covers, the windows and the sunroof of the vehicle are closed or not during the calibration of the vehicle, judging that the power mode of the vehicle is in a starting state, and informing the vehicle to finish the calibration and informing the user that the calibration fails when the doors, the front and rear covers, the windows and the sunroof of the vehicle are not closed or the power mode of the vehicle is not in the starting state.
8. The method of claim 1, wherein the dynamically calibrating comprises: acquiring RSSI values of the Bluetooth broadcast sent by the intelligent terminal at a first time interval; Filtering each acquired RSSI value; calculating an average RSSI value of the filtered plurality of RSSI values; And when the average RSSI value is smaller than or equal to the intensity threshold value, multiplying the average RSSI value by a second calibration coefficient to obtain the dynamic calibration value, wherein the intensity threshold value is used for distinguishing the interior from the exterior of the vehicle.
9. The method of claim 8, wherein the particular location is determined based on: Providing a plurality of data acquisition points inside and outside the vehicle; Acquiring RSSI values of the Bluetooth broadcasts sent by different intelligent terminals from each data acquisition point under different environments; Filtering each acquired RSSI value; And determining the maximum RSSI value in the filtered multiple RSSI values, wherein the data acquisition point corresponding to the maximum RSSI value is the specific position.
10. The method of claim 9, wherein the strength threshold is determined based on a filtered plurality of the RSSI values, wherein at least a first threshold portion of the filtered plurality of RSSI values collected from a plurality of data collection points set on the interior of the vehicle is less than the strength threshold and at least a second threshold portion of the filtered plurality of RSSI values collected from a plurality of data collection points set on the exterior of the vehicle is greater than the strength threshold.
11. A bluetooth key dynamic calibration device based on visual guidance, the device comprising: a prompting unit prompting a user to scan a preset calibration image at a specific position of the vehicle using the intelligent terminal; The judging unit is used for judging whether the intelligent terminal can stably identify the preset calibration image; the starting unit starts Bluetooth broadcasting of the intelligent terminal when the intelligent terminal can stably identify the preset calibration image; And the notification unit is used for notifying the vehicle to dynamically calibrate the Bluetooth broadcast sent by the intelligent terminal.
12. A bluetooth key non-inductive start-up method, the method comprising: Acquiring RSSI values of the Bluetooth broadcasts sent by the intelligent terminal at a second time interval; Filtering each acquired RSSI value; calculating a distance value corresponding to each filtered RSSI value based on a ranging algorithm; judging whether the distance value is in a non-inductive starting area or not; Starting the vehicle when a plurality of continuous distance values are in the non-sensing starting area; Wherein the non-inductive enabled area is associated with a distance value corresponding to a dynamic calibration value calculated based on the ranging algorithm, and wherein the dynamic calibration value is obtained according to the visual guidance-based bluetooth key dynamic calibration method according to any one of claims 1 to 10.
13. A bluetooth key sensorless start-up apparatus, said apparatus comprising: The acquisition unit acquires the RSSI value of the Bluetooth broadcast sent by the intelligent terminal at a second time interval; the filtering unit is used for carrying out filtering treatment on each acquired RSSI value; the distance measuring unit is used for calculating a distance value corresponding to each filtered RSSI value based on a distance measuring algorithm; A judging unit that judges whether the distance value is within a non-inductive start-up area; A starting unit for starting the vehicle when a plurality of continuous distance values are in the non-inductive starting area; Wherein the non-inductive enabled area is associated with a distance value corresponding to a dynamic calibration value calculated based on the ranging algorithm, and wherein the dynamic calibration value is obtained according to the visual guidance-based bluetooth key dynamic calibration method according to any one of claims 1 to 10.
14. A computer readable storage medium having instructions stored thereon, which when executed by a computer, cause the computer to perform the visual guidance based bluetooth key dynamic calibration method according to any one of claims 1 to 10 or the bluetooth key sensorless start method according to claim 12.
15. An electronic device comprising one or more processors and one or more memories, the one or more memories having one or more programs stored thereon which, when executed by the one or more processors, cause the electronic device to perform the visual guidance-based bluetooth key dynamic calibration method according to any of claims 1 to 10 or the bluetooth key sensorless start-up method according to claim 12.

Description

Dynamic calibration method, non-inductive starting method, device, medium and electronic equipment Technical Field The invention relates to a Bluetooth key dynamic calibration method based on visual guidance, a Bluetooth key non-inductive starting method, a Bluetooth key non-inductive starting device, a Bluetooth key medium and electronic equipment. Background Current non-inductive start-up schemes for vehicles rely primarily on two types of technology. Firstly, a multi-node Bluetooth positioning technology needs to deploy a plurality of nodes at different positions of a vehicle, and accurate judgment of the position of a user is realized through signal strength triangular positioning. However, the hardware cost of the technology is high, and as the number of nodes increases, the positioning accuracy can be improved, but the cost also increases. In addition, the calibration flow of the technology is complex, and professional calibration equipment is needed. Therefore, this technique is difficult to adapt on low-end vehicle models. Second is a single-node bluetooth positioning technology that expects to achieve positioning through nodes deployed at a single location of the vehicle. However, the technology only supports basic Bluetooth connection, cannot meet the positioning precision requirement of noninductive starting, and cannot be compatible with a global complex electromagnetic environment and heterogeneous intelligent terminals. Disclosure of Invention The invention aims to provide a Bluetooth key dynamic calibration method based on visual guidance, a Bluetooth key non-inductive starting method, a Bluetooth key non-inductive starting device, a Bluetooth key non-inductive starting medium and electronic equipment, which can realize sub-meter positioning precision under a single-node Bluetooth architecture, filter electromagnetic interference signals and cover various intelligent terminals. The invention discloses a Bluetooth key dynamic calibration method based on visual guidance, which comprises the following steps: Prompting a user to scan a preset calibration image at a specific location of the vehicle using the intelligent terminal; Judging whether the intelligent terminal can stably identify the preset calibration image or not; when the intelligent terminal can stably identify the preset calibration image, starting Bluetooth broadcasting of the intelligent terminal; And notifying the vehicle to dynamically calibrate the Bluetooth broadcast sent by the intelligent terminal. Optionally, determining whether the intelligent terminal can stably identify the preset calibration image includes: Acquiring a plurality of image frames acquired by the intelligent terminal in a first time period; calculating the difference between each image frame and the preset calibration image; And when the differences of all the image frames acquired in the first time period meet the threshold requirement, the intelligent terminal can stably identify the preset calibration image. Optionally, the method further comprises: Continuously judging whether the intelligent terminal can stably identify the preset calibration image during the calibration period of the vehicle; and when the intelligent terminal cannot stably identify the preset calibration image, notifying the vehicle to finish calibration, and notifying the user that the preset calibration image is not identified. Optionally, continuously determining whether the intelligent terminal can stably identify the preset calibration image includes: acquiring a plurality of image frames acquired by the intelligent terminal in a plurality of continuous first time periods; calculating the difference between each image frame and the preset calibration image; And when the differences of all the image frames acquired in the continuous multiple first time periods do not meet the threshold requirement, the intelligent terminal cannot stably identify the preset calibration image. Optionally, the method further comprises: When the differences of all the image frames acquired in the single first time period do not meet a threshold requirement, not informing the vehicle to finish calibration, and prompting the user to aim at the preset calibration image; When the difference of the partial image frames acquired in the single first time period does not meet a threshold requirement, the vehicle is not informed to finish calibration, and the user is not prompted to align the preset calibration image. Optionally, the method further comprises: And when any image frame acquired by the intelligent terminal is not acquired in a second time period, informing the user that the preset calibration image is not identified, wherein the second time period is greater than the first time period. Optionally, the method further comprises: acquiring a calibration result returned by the vehicle, and informing the user that the calibration is overtime when the calibration result returned by the vehicle is not