A cloud-based method and system for controlling following distance.

Abstract

This invention discloses a cloud-based method and system for following distance control. The method includes: acquiring the vehicle's own positioning information and the speed and distance to the vehicle ahead; calculating the time-to-travel (TTC) value for following distance under manual driving based on the speed and distance to the vehicle ahead; uploading the vehicle's own positioning information and TTC data to the cloud platform in real time; the cloud platform recording the individual positioning data and TTC data of multiple vehicles in real time and processing the data to obtain a safe following distance for the corresponding road segment; and using the safe following distance to control the following vehicle during automatic following. This invention improves the safety and intelligence of automatic following and enhances the comfort of the driving experience.

Description

Technical Field

[0001] This invention relates to the technical field of vehicle driving control, and more specifically, to a following distance control method and system based on a cloud platform. Background Technology

[0002] Adaptive following is a driver assistance feature. Its control module analyzes and calculates various types of driving data collected by onboard sensors, such as the speed and acceleration of both vehicles and the distance between them, to automatically maintain a set safe following distance, thus reducing driver fatigue. While this control module can automatically follow the vehicle in front at a set safe distance, different drivers have different driving habits and styles depending on the driving scenario (e.g., weather conditions, road type), and the existing set following distance is usually a fixed value. Therefore, it is difficult to meet the following distance requirements of drivers with diverse driving habits and styles.

[0003] To make Adaptive Cruise Control (ACC) suitable for drivers with diverse driving habits and styles, the aforementioned driving data is collected. Then, based on pre-defined rules or algorithms, the following distance is predicted, and finally, the vehicle's gear is manually calibrated to match this distance. This method yields a set following distance corresponding to the vehicle's gear; for example, if the vehicle is currently in 3rd, 4th, or 5th gear, the set following distances are 10m, 20m, and 40m respectively. However, this set following distance is typically selected and determined by the driver before using the adaptive cruise control function. The range of selectable following distances is limited, and manual adjustment of the vehicle's gear is required when the driver needs to change the following distance. This results in low intelligence, and when the vehicle's scene recognition is insufficient, it can lead to following too closely or too far, negatively impacting the driving experience. Therefore, intelligently adjusting the following distance during automatic following is crucial for improving the driving experience. Summary of the Invention

[0004] This invention provides a cloud-based following distance control method and system, which solves the problem of insufficient scene recognition in existing vehicles' automatic following driving, resulting in following too closely or too far. It can improve the safety and intelligence of automatic following driving and increase the comfort of the driving experience.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] A cloud-based method for controlling following distance includes:

[0007] Obtain the vehicle's location information, the speed of the vehicle in front, and the distance to the vehicle in front;

[0008] The TTC value for following distance under manual driving is calculated based on the speed of the vehicle ahead and the distance to the vehicle ahead.

[0009] The vehicle's location information and TTC data are uploaded to the cloud platform in real time.

[0010] The cloud platform records the personal location data and TTC data of multiple vehicles in real time and processes the data to obtain the safe time distance for the corresponding road segment.

[0011] When the vehicle is automatically following another vehicle, the safe time distance is used to control the following vehicle.

[0012] Preferably, the data processing to obtain the safe time distance for the corresponding road segment includes:

[0013] Data processing algorithms are used to filter and weight the data to obtain the default TTC value for personal daily driving.

[0014] Preferably, the step of performing data processing to obtain the safe time distance for the corresponding road segment further includes:

[0015] Based on the vehicle's location information, the TTC data of multiple vehicles manually driven on the same road segment are filtered and weighted to obtain the average TTC value for that road segment.

[0016] Preferably, the step of performing data processing to obtain the safe time distance for the corresponding road segment further includes:

[0017] The default TTC value for individual daily driving and the average TTC value for that road segment are returned to the vehicles on the corresponding road segment to calculate the safe distance.

[0018] Preferably, the step of calculating the following distance (TTC) value under manual driving based on the speed of the vehicle ahead and the distance to the vehicle ahead includes:

[0019] According to the formula: Calculate the TTC value, where V h V1 is the speed of the vehicle in front, and d is the distance to the vehicle in front.

[0020] Preferably, the step of using data processing algorithms to perform filtering and weighting processing to obtain a default TTC value for personal daily driving includes:

[0021] In the personal daily manual driving mode, the TTC values ​​of the previous 30 days are filtered and weighted to obtain the default TTC value for personal daily driving.

[0022] Preferred options also include:

[0023] After the vehicle receives the default TTC value for personal daily driving and the average TTC value for the road segment returned by the cloud platform, if the autonomous driving command is activated, the autonomous driving domain controller will use the default TTC value for personal daily driving for following distance control by default.

[0024] If the vehicle selects to closely follow the current traffic flow, the following distance control is based on the average TTC value corresponding to the current road.

[0025] Preferred options also include:

[0026] By recording the following distance values ​​during an individual's driving process, a personalized following distance can be set to suit their individual driving habits or style.

[0027] The present invention also provides a cloud platform-based vehicle following distance control system, which uses the above-mentioned vehicle following distance control method and includes: a domain controller, a TBOX, a navigation and positioning device, a camera and a lidar;

[0028] The domain controller is connected to the TBOX, the navigation and positioning device, the camera, and the lidar signal, respectively.

[0029] The domain controller collects the speed of the vehicle in front and the distance to the vehicle in front through the camera and the lidar;

[0030] The navigation and positioning device obtains the vehicle's own positioning information in real time;

[0031] The TBOX is connected to the cloud platform, and the domain controller uploads the vehicle's positioning information, the speed of the vehicle in front, and the distance to the vehicle in front to the cloud platform through the TBOX.

[0032] The cloud platform records the personal location data and TTC data of multiple vehicles in real time, processes the data to obtain the safe following distance for the corresponding road segment, and sends it to the vehicle in real time so that the vehicle can control the following distance.

[0033] Preferably, it also includes: a central control display screen;

[0034] The central control display screen is signal-connected to the domain controller, and the central control display screen is equipped with a human-machine interaction interface;

[0035] The vehicle can be activated and controlled by issuing autonomous driving commands or manual driving commands through a human-computer interaction interface.

[0036] This invention provides a cloud-based method and system for controlling following distance. By integrating the safe following distance under manual driving conditions on the same road segment through the cloud platform, it enables autonomous driving that allows the vehicle to closely follow the traffic flow. This solves the problem that existing vehicles have insufficient scene recognition when automatically following other vehicles, resulting in following too closely or too far away. It can improve the safety and intelligence of automatic following and increase the comfort of the driving experience. Attached Figure Description

[0037] To more clearly illustrate the specific embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly described below.

[0038] Figure 1 This is a schematic diagram of a cloud platform-based following distance control method provided by the present invention.

[0039] Figure 2 This is a schematic diagram of a cloud-based following distance control system provided by the present invention. Detailed Implementation

[0040] To enable those skilled in the art to better understand the embodiments of the present invention, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings and implementation methods.

[0041] To address the current issue that automatic following vehicles cannot perform personalized adaptive following, this invention provides a cloud-based following distance control method and system. This solves the problem that existing automatic following vehicles have insufficient scene recognition, resulting in following too closely or too far from the vehicle in question. It can improve the safety and intelligence of automatic following and increase the comfort of the driving experience.

[0042] like Figure 1 As shown, a cloud-based vehicle following distance control method includes:

[0043] S1: Obtain the vehicle's own location information, the speed of the vehicle in front, and the distance to the vehicle in front.

[0044] S2: Calculate the TTC value of following distance under manual driving based on the speed of the vehicle in front and the distance to the vehicle in front.

[0045] S3: Upload the vehicle's location information and TTC data to the cloud platform in real time.

[0046] S4: The cloud platform records the personal location data and TTC data of multiple vehicles in real time and processes the data to obtain the safe distance for the corresponding road segment.

[0047] S5: When the vehicle is automatically following another vehicle, the safe distance is used to control the following vehicle.

[0048] Specifically, the cloud and vehicle communicate via 4G, 5G, or other wireless modules. On the vehicle side: Using its built-in sensors and domain controllers, the vehicle calculates the real-time following distance (TTC) under manual driving conditions and uploads its location information and real-time TTC data to the cloud. On the cloud side: The cloud records individual location data and TTC values ​​in real time and performs filtering and weighting using advanced data processing algorithms to improve data accuracy and confidence, ultimately obtaining the individual's default TTC value for daily driving. Based on the vehicle's location information, the TTC values ​​for manual driving on the same road segment are filtered and weighted to improve data accuracy and confidence, yielding the TTC value for that segment. These two TTC values ​​are then returned to the vehicle side for that road segment in real time. The vehicle side records and integrates the following distance for individual driving scenarios through the cloud platform, updating it periodically to achieve personalized adaptive following for autonomous driving. This method improves the safety and intelligence of automatic following and increases the comfort of the driving experience.

[0049] Furthermore, the data processing to obtain the safe time distance for the corresponding road segment includes:

[0050] Data processing algorithms are used to filter and weight the data to obtain the default TTC value for personal daily driving.

[0051] Furthermore, the data processing to obtain the safe time distance for the corresponding road segment also includes:

[0052] Based on the vehicle's location information, the TTC data of multiple vehicles manually driven on the same road segment are filtered and weighted to obtain the average TTC value for that road segment.

[0053] Furthermore, the data processing to obtain the safe time distance for the corresponding road segment also includes:

[0054] The default TTC value for individual daily driving and the average TTC value for that road segment are returned to the vehicles on the corresponding road segment to calculate the safe distance.

[0055] Furthermore, the step of calculating the following distance (TTC) value under manual driving based on the speed of the vehicle ahead and the distance to the vehicle ahead includes:

[0056] According to the formula: Calculate the TTC value, where V h V1 is the speed of the vehicle in front, and d is the distance to the vehicle in front.

[0057] In practical applications, the vehicle obtains the speed V1 and distance d of the vehicle ahead based on millimeter-wave and visual camera perception results, and combines this with its own vehicle speed V. h，To obtain the real-time TTC values ​​of the vehicle and the vehicle in front. When the distance to the target object in front is less than 30 meters and the TTC is less than 10, the vehicle's high-precision positioning, TTC value, and driving mode (manual driving mode / autonomous driving mode) are simultaneously uploaded to the cloud platform to ensure that there is a vehicle in front and the vehicle is following.

[0058] Furthermore, the step of using data processing algorithms for filtering and weighting to obtain a default TTC value for personal daily driving includes:

[0059] In the personal daily manual driving mode, the TTC values ​​of the previous 30 days are filtered and weighted to obtain the default TTC value for personal daily driving.

[0060] The method also includes:

[0061] After the vehicle receives the default TTC value for personal daily driving and the average TTC value for the corresponding road segment from the cloud platform, if the autonomous driving command is activated, the autonomous driving domain controller will use the default TTC value for personal daily driving for following distance control by default.

[0062] If the vehicle selects to closely follow the current traffic flow, the following distance control is based on the average TTC value corresponding to the current road.

[0063] In practical applications, after the cloud unpacks the vehicle-side information, it matches the road segment based on the vehicle's location results. Depending on the driving mode, it aggregates and filters the TTC values ​​from all manual driving modes, then averages them to obtain the manual driving mode TTC_01 for that road segment. It then filters and averages the TTC values ​​from the previous 30 days under the individual's daily manual driving mode to obtain the individual's manual driving mode TTC_02. The results of these two TTC value calculations are then returned to the vehicle. Upon receiving the results from the cloud, when the autonomous driving command is activated, the autonomous driving domain controller defaults to using TTC_02 under the individual's daily driving mode. Simultaneously, the vehicle's central control screen will display an option to follow the current traffic flow. If this is agreed upon, TTC_01 is used, representing the safe time distance used by most manual drivers on the current road.

[0064] The method also includes: setting a following distance that matches an individual's driving habits or style by recording the distance values ​​during their driving process, in order to personalize the process.

[0065] By integrating following distances under manual driving conditions on the same road segment through a cloud platform, autonomous driving can be achieved, allowing the vehicle to closely follow traffic flow. The following distance is automatically adjusted in real time according to changes in traffic flow, improving overall traffic efficiency. The cloud platform records and integrates following distances from individual driving scenarios, updating them periodically to enable personalized adaptive following for autonomous driving.

[0066] As can be seen, the present invention provides a cloud platform-based following distance control method. By integrating the safe following distance under manual driving conditions on the same road segment through the cloud platform, the autonomous vehicle can closely follow the traffic flow and achieve autonomous driving. This solves the problem that existing vehicles have insufficient scene recognition when performing automatic following, resulting in following too closely or too far. It can improve the safety and intelligence of automatic following and increase the comfort of the driving experience.

[0067] The present invention also provides a cloud platform-based vehicle following distance control system, which uses the above-mentioned vehicle following distance control method and includes: a domain controller, a TBOX, a navigation and positioning device, a camera and a lidar;

[0068] The domain controller is connected to the TBOX, the navigation and positioning device, the camera, and the lidar signal, respectively.

[0069] The domain controller collects the speed of the vehicle in front and the distance to the vehicle in front through the camera and the lidar;

[0070] The navigation and positioning device obtains the vehicle's own positioning information in real time;

[0071] The TBOX is connected to the cloud platform, and the domain controller uploads the vehicle's positioning information, the speed of the vehicle in front, and the distance to the vehicle in front to the cloud platform through the TBOX.

[0072] The cloud platform records the personal location data and TTC data of multiple vehicles in real time, processes the data to obtain the safe following distance for the corresponding road segment, and sends it to the vehicle in real time so that the vehicle can control the following distance.

[0073] Preferably, it also includes: a central control display screen;

[0074] The central control display screen is signal-connected to the domain controller, and the central control display screen is equipped with a human-machine interaction interface;

[0075] The vehicle can be activated and controlled by issuing autonomous driving commands or manual driving commands through a human-computer interaction interface.

[0076] This invention provides a cloud-based following distance control system. By integrating the safe following distance under manual driving conditions on the same road segment through the cloud platform, it enables autonomous driving that allows the vehicle to closely follow the traffic flow. This solves the problem that existing vehicles have insufficient scene recognition when performing automatic following, resulting in following too closely or too far. It can improve the safety and intelligence of automatic following and increase the comfort of the driving experience.

[0077] The structure, features, and effects of the present invention have been described in detail above with reference to the embodiments shown in the figures. The above description is only a preferred embodiment of the present invention, but the present invention is not limited to the scope of implementation shown in the figures. Any changes made in accordance with the concept of the present invention, or equivalent embodiments modified to have equivalent changes, shall be within the protection scope of the present invention as long as they do not exceed the spirit covered by the specification and figures.

Claims

1. A cloud-based method for controlling following distance, characterized in that, include: Obtain the vehicle's location information, the speed of the vehicle in front, and the distance to the vehicle in front; The TTC value for following distance under manual driving is calculated based on the speed of the vehicle ahead and the distance to the vehicle ahead. The vehicle's location information and TTC data are uploaded to the cloud platform in real time. The cloud platform records the personal location data and TTC data of multiple vehicles in real time and processes the data to obtain the safe time distance for the corresponding road segment. When the vehicle is automatically following another vehicle, the safe time distance is used to control the following vehicle. After the vehicle receives the default TTC value for personal daily driving and the average TTC value for the corresponding road segment from the cloud platform, if the autonomous driving command is activated, the autonomous driving domain controller will use the default TTC value for personal daily driving to control the following distance. If the vehicle selects to closely follow the current road traffic flow, the following distance control is based on the average TTC value corresponding to the current road. The data processing to obtain the safe time distance for the corresponding road segment includes: Data processing algorithms are used to perform filtering and weighting to obtain the default TTC value for personal daily driving. Based on the vehicle's location information, the TTC data of multiple vehicles manually driven on the same road segment are filtered and weighted to obtain the average TTC value of that road segment. The calculation of the following distance (TTC) value under manual driving based on the speed of the vehicle ahead and the distance to the vehicle ahead includes: According to the formula: ； Calculate the TTC value, where V h V1 is the speed of the vehicle in front, and d is the distance to the vehicle in front.

2. The cloud-based vehicle following distance control method according to claim 1, characterized in that, The data processing to obtain the safe time distance for the corresponding road segment also includes: The default TTC value for individual daily driving and the average TTC value for that road segment are returned to the vehicles on the corresponding road segment to calculate the safe distance.

3. The following distance control method based on a cloud platform according to claim 2, characterized in that, The process of using data processing algorithms for filtering and weighting to obtain a default TTC value for personal daily driving includes: In the personal daily manual driving mode, the TTC values ​​of the previous 30 days are filtered and weighted to obtain the default TTC value for personal daily driving.

4. The following distance control method based on a cloud platform according to claim 3, characterized in that, Also includes: By recording the following distance values ​​during an individual's driving process, a personalized following distance can be set to suit their individual driving habits or style.

5. A cloud-based following distance control system, using the following distance control method according to any one of claims 1 to 4, characterized in that, include: Domain controller, TBOX, navigation and positioning device, camera and LiDAR; The domain controller is connected to the TBOX, the navigation and positioning device, the camera, and the lidar signal, respectively. The domain controller collects the speed of the vehicle in front and the distance to the vehicle in front through the camera and the lidar; The navigation and positioning device obtains the vehicle's own positioning information in real time; The TBOX is connected to the cloud platform, and the domain controller uploads the vehicle's positioning information, the speed of the vehicle in front, and the distance to the vehicle in front to the cloud platform through the TBOX. The cloud platform records the personal location data and TTC data of multiple vehicles in real time, processes the data to obtain the safe following distance for the corresponding road segment, and sends it to the vehicle in real time so that the vehicle can control the following distance.

6. The cloud-based vehicle following distance control system according to claim 5, characterized in that, Also includes: Central control display screen; The central control display screen is signal-connected to the domain controller, and the central control display screen is equipped with a human-machine interaction interface; The vehicle can be activated and controlled by issuing autonomous driving commands or manual driving commands through a human-computer interaction interface.

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