Method and device for determining the stopping distance of a vehicle

Abstract

The application relates to the technical field of intelligent driving of an automobile, in particular to a follow-stopping distance determination method and device for a vehicle, wherein the method comprises the following steps: detecting a user visual blind area of a target vehicle; calculating the nearest follow-stopping distance and the farthest follow-stopping distance acceptable to the target vehicle under the user visual angle according to the user visual blind area; obtaining the driving habit of a current user, and matching the best follow-stopping distance between the nearest follow-stopping distance and the farthest follow-stopping distance of the target vehicle in the assisted driving mode based on the driving habit. According to the application, the nearest follow-stopping distance and the farthest follow-stopping distance acceptable to the target vehicle can be determined according to the user visual blind area, and the best follow-stopping distance can be matched according to the driving habit of the user, so that the oppression of the user is effectively reduced, the vehicle experience of the user is improved, the reliability and applicability of the vehicle are improved, and the vehicle demand of the user is met.

Description

Technical Field

[0001] This application relates to the field of intelligent driving technology for automobiles, and in particular to a method and device for determining the following distance of a vehicle. Background Technology

[0002] In related technologies, the distance between the vehicle and the vehicle in front can be obtained by equipping a driver assistance product, and a fixed value for the following and stopping distance can be determined, or the shortest following and stopping distance can be determined based on the limits of the vehicle's sensor capabilities, thereby assisting the user in driving safely.

[0003] However, the relevant technologies cannot determine the stopping distance based on the vehicle model, which increases the user's sense of pressure, reduces the user's driving experience, and has low applicability, failing to meet the user's driving needs, and urgently needs to be solved. Summary of the Invention

[0004] This application provides a method and apparatus for determining the following distance of a vehicle, in order to solve the technical problems in the related art where the following distance cannot be determined according to the vehicle model, which increases the user's sense of pressure, reduces the user's driving experience, and has low applicability and cannot meet the user's driving needs.

[0005] The first aspect of this application provides a method for determining the following distance of a vehicle, comprising the following steps: detecting the user's blind spot of the target vehicle; calculating the nearest and farthest acceptable following distance of the target vehicle from the user's perspective based on the user's blind spot; obtaining the current user's driving habits, and matching the optimal following distance between the nearest and farthest following distance of the target vehicle in assisted driving mode based on the driving habits.

[0006] Based on the above-mentioned technical means, the embodiments of this application can determine the acceptable closest and furthest following distances according to the user's blind spot, and can match the optimal following distance according to the user's driving habits, effectively reducing the user's sense of pressure, improving the user's driving experience, improving the reliability and applicability of the vehicle, and meeting the user's driving needs.

[0007] Optionally, in one embodiment of this application, detecting the user's blind spot of the target vehicle includes: obtaining the actual model of the target vehicle; and calculating the user's blind spot based on the actual model.

[0008] Based on the above-mentioned technical means, the embodiments of this application can calculate the user's blind spot according to the actual vehicle model, effectively improving the user's driving experience.

[0009] Optionally, in one embodiment of this application, the step of calculating the acceptable closest and furthest following distances of the target vehicle from the user's perspective based on the user's blind spot includes: calculating the following distance at the location where the rear trunk of the preceding vehicle is visible from the user's perspective to obtain the closest following distance; and calculating the following distance at the location where the rear chassis of the preceding vehicle is visible from the user's perspective to obtain the furthest following distance.

[0010] Based on the above-mentioned technical means, the embodiments of this application can calculate the farthest and closest following distance from the user's perspective, which can effectively reduce the user's sense of pressure, improve the user's driving experience, and meet the user's driving needs.

[0011] Optionally, in one embodiment of this application, obtaining the current user's driving habits includes: collecting the current user's historical driving data; and generating the driving habits based on the historical driving data.

[0012] Based on the above technical means, the embodiments of this application can determine the farthest and nearest distances according to the current user's driving habits, effectively improving the user's driving experience.

[0013] Optionally, in one embodiment of this application, before matching the optimal following distance between the nearest following distance and the farthest following distance of the target vehicle in the assisted driving mode based on the driving habits, the method further includes: collecting vehicle parameters of the current preceding vehicle; generating a correction value based on the vehicle parameters; and using the correction value to correct the nearest following distance and the farthest following distance.

[0014] Based on the above-mentioned technical means, the embodiments of this application can correct the nearest and farthest following distances of the vehicle according to the vehicle parameters of the preceding vehicle, thereby improving the level of vehicle automation and effectively meeting the user's driving experience.

[0015] Optionally, in one embodiment of this application, after matching the optimal following distance between the nearest following distance and the farthest following distance of the target vehicle in the assisted driving mode based on the driving habits, the method further includes: receiving a setting instruction from the current user; correcting the optimal following distance according to the setting instruction, wherein a collision warning is issued when the corrected optimal following distance exceeds the nearest following distance.

[0016] Based on the above technical means, the embodiments of this application can correct the optimal following distance through user instructions, and can provide a collision warning after exceeding the optimal following distance, effectively improving the interactivity and safety of the vehicle.

[0017] A second aspect of this application provides a vehicle following distance determination device, comprising: a detection module for detecting the user's blind spot of a target vehicle; a calculation module for calculating the nearest and farthest acceptable following distance of the target vehicle from the user's perspective based on the user's blind spot; and a control module for acquiring the current user's driving habits and matching the optimal following distance between the nearest and farthest following distance of the target vehicle in assisted driving mode based on the driving habits.

[0018] Optionally, in one embodiment of this application, the detection module includes: an acquisition unit for acquiring the actual vehicle model of the target vehicle; and a first calculation unit for calculating the user's blind spot based on the actual vehicle model.

[0019] Optionally, in one embodiment of this application, the calculation module includes: a second calculation unit, used to calculate the following distance at the position of the rear trunk door of the vehicle in front visible from the user's perspective, to obtain the closest following distance; and a third calculation unit, used to calculate the following distance at the position of the rear chassis of the vehicle in front visible from the user's perspective as the farthest following distance.

[0020] Optionally, in one embodiment of this application, obtaining the current user's driving habits includes collecting the current user's historical driving data and generating the driving habits based on the historical driving data.

[0021] Optionally, in one embodiment of this application, the apparatus further includes: a data acquisition module, configured to acquire vehicle parameters of the current vehicle in front before matching the optimal following distance between the nearest following distance and the farthest following distance of the target vehicle in the assisted driving mode based on the driving habits; and a first correction module, configured to generate a correction value based on the vehicle parameters before matching the optimal following distance between the nearest following distance and the farthest following distance of the target vehicle in the assisted driving mode based on the driving habits, and to correct the nearest following distance and the farthest following distance using the correction value.

[0022] Optionally, in one embodiment of this application, the apparatus further includes: a receiving module, configured to receive a setting instruction from the current user after matching the optimal following distance between the nearest following distance and the farthest following distance of the target vehicle in the assisted driving mode based on the driving habits; and a second correction module, configured to correct the optimal following distance according to the setting instruction after matching the optimal following distance between the nearest following distance and the farthest following distance of the target vehicle in the assisted driving mode based on the driving habits, wherein a collision warning is issued when the corrected optimal following distance exceeds the nearest following distance.

[0023] A third aspect of this application provides a vehicle, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the vehicle following distance determination method as described in the above embodiments.

[0024] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for determining the following distance of a vehicle.

[0025] The beneficial effects of this application are:

[0026] (1) The embodiments of this application can adjust the nearest and farthest following distances of the vehicle based on the vehicle parameters of the preceding vehicle, thereby improving the level of vehicle automation and effectively meeting the user's driving experience.

[0027] (2) The embodiments of this application can correct the optimal following distance through user instructions, and can provide a collision warning after the optimal following distance is exceeded, which effectively improves the interactivity and safety of the vehicle.

[0028] (3) The embodiments of this application can determine the acceptable closest and furthest following distances based on the user's blind spot, and can match the optimal following distance according to the user's driving habits, effectively reducing the user's sense of pressure, improving the user's driving experience, improving the reliability and applicability of the vehicle, and meeting the user's driving needs.

[0029] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0030] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0031] Figure 1 This is a flowchart of a method for determining the following distance of a vehicle according to an embodiment of this application;

[0032] Figure 2 This is a schematic diagram illustrating the following distance measurement based on the user's blind spot, according to a specific embodiment of this application.

[0033] Figure 3 A flowchart illustrating a method for determining the following distance of a vehicle according to a specific embodiment of this application;

[0034] Figure 4This is a schematic diagram of the vehicle following distance determination device according to an embodiment of this application;

[0035] Figure 5 This is a structural schematic diagram of a vehicle provided according to an embodiment of this application.

[0036] Among them, 10-vehicle following distance determination device; 100-detection module, 200-computation module and 300-control module; 501-memory, 502-processor and 503-communication interface. Detailed Implementation

[0037] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0038] The following description, with reference to the accompanying drawings, describes a method and apparatus for determining vehicle following distance according to embodiments of this application. Addressing the issues mentioned in the background section regarding the inability to determine following distance based on vehicle model, which increases user anxiety, reduces user experience, and has low applicability, failing to meet user needs, this application provides a method for determining vehicle following distance. In this method, the closest and furthest acceptable following distances for the target vehicle from the user's perspective are calculated based on the detected blind spots. Then, based on the user's driving habits, the optimal following distance between the closest and furthest following distances of the target vehicle in assisted driving mode is matched. This effectively reduces user anxiety, improves user experience, enhances vehicle reliability and applicability, and meets user needs. Therefore, this solves the technical problem in related technologies where the inability to determine following distance based on vehicle model increases user anxiety, reduces user experience, and has low applicability, failing to meet user needs.

[0039] Specifically, Figure 1 This is a flowchart illustrating a method for determining the following distance of a vehicle, as provided in an embodiment of this application.

[0040] like Figure 1 As shown, the method for determining the following distance of this vehicle includes the following steps:

[0041] In step S101, the blind spot of the target vehicle in the user's field of vision is detected.

[0042] It is understood that the embodiments of this application can detect the blind spot of the target vehicle in the following steps. For example, the blind spot of the user's field of vision can be detected by the vehicle body radar, so as to ensure that different following and stopping distances can be set according to the blind spot of different vehicles, reduce the user's sense of pressure when using the car, thereby effectively improving the user's driving experience and meeting the user's driving needs.

[0043] In one embodiment of this application, detecting the user's blind spot of the target vehicle includes: obtaining the actual model of the target vehicle; and calculating the user's blind spot based on the actual model.

[0044] In actual implementation, this application embodiment can obtain the actual vehicle model of the target vehicle, such as a sedan or SUV. Since the same following distance does not provide the same experience on different vehicle models, for example, a sedan provides a lower sense of pressure to the user compared to an SUV at the same following distance, while an SUV provides a higher sense of pressure to the user due to blind spots, thereby reducing the user's driving experience. Therefore, this application embodiment can calculate the user's blind spot based on the actual vehicle model, effectively improving the user's driving experience.

[0045] In step S102, the nearest and farthest acceptable following distances of the target vehicle from the user's perspective are calculated based on the user's blind spot.

[0046] It is understood that the embodiments of this application can calculate the acceptable closest and furthest following distances of the target vehicle from the user's perspective based on the user's blind spot in the following steps, thereby calculating different following distances according to different vehicle models, improving the user's driving experience, and enhancing the vehicle's safety and reliability.

[0047] In one embodiment of this application, the calculation of the closest and furthest acceptable following distances of the target vehicle from the user's perspective, based on the user's blind spot, includes: calculating the following distance at the location of the trunk tailgate of the vehicle in front that can be seen from the user's perspective to obtain the closest following distance; and calculating the following distance at the location of the rear chassis of the vehicle in front that can be seen from the user's perspective to obtain the furthest following distance.

[0048] As one possible approach, this application embodiment, based on research into the driving habits of different groups of people, finds that when following and stopping the vehicle in front, the following distance is the closest acceptable following distance when the driver can see the rear trunk of the vehicle in front from inside the vehicle's field of vision. If the following distance is further reduced, the driver's sense of pressure will continue to increase. When the driver can see the rear chassis of the vehicle in front from inside the vehicle's field of vision, the following distance is the farthest acceptable following distance. If the following distance is further increased, the driver's experience will decrease.

[0049] For example, such as Figure 2As shown, taking the side view of the car and the ground as an example, let the straight line on the horizontal ground be the straight line α. According to the statistics of the height of the tailgate of different car models, the height of the tailgate of the car is generally about 60cm from the ground. According to the statistics of the height of the rear chassis of different vehicles, the height of the tailgate of the car is generally about 40cm from the ground.

[0050] Let the line parallel to the horizontal plane and 60cm away be line β, and the line parallel to the horizontal plane and 40cm away be line δ. With the horizontal ground as the reference, when the vehicle is unloaded and placed on the horizontal ground, the position of the driver's eyes in the normal driving position can be confirmed by the in-vehicle front camera. Let the position of the driver's eyes in the normal driving position be point A. Draw a perpendicular line from point A, and take the intersection of line β and line δ as point D, and the intersection of line δ and line γ as point E. Let the lowest angle of view of the ground visible to the driver in the normal driving position be line γ, the intersection of line γ and line β as point B, and the intersection of line γ and line δ as point C. That is, take the distance from point D to point B as the closest following distance, and take the distance from point E to point C as the farthest following distance.

[0051] In addition, the embodiments of this application can verify the closest stopping distance. A real vehicle test is conducted based on the measured stopping distance from point D to point B. The obtained closest stopping distance is basically consistent with the normal driving habits of human drivers. That is, the stopping distance does not put pressure on the driver, and the stopping distance is not too far.

[0052] Furthermore, the embodiments of this application can also verify the farthest stopping distance. A real vehicle test was conducted based on the measured stopping distance from point E to point C. The obtained farthest stopping distance is basically consistent with the normal driving habits of human drivers, and the stopping distance does not put pressure on the driver.

[0053] Finally, taking the following distance adjustment gear of the assisted driving system as an example with four gears, the closest and furthest following distances are divided into four equal parts to obtain four following distances, which are matched with the four following distance adjustment gears. The smallest following distance gear is matched with the closest following distance, and so on.

[0054] In summary, the embodiments of this application can determine the acceptable closest and furthest following distances based on the user's blind spot, effectively reducing the user's sense of pressure, improving the user's driving experience, enhancing the vehicle's reliability and applicability, and meeting the user's driving needs.

[0055] In step S103, the current user's driving habits are obtained, and the optimal following distance between the nearest and farthest following distance of the target vehicle in the assisted driving mode is matched based on the driving habits.

[0056] It is understood that the embodiments of this application can obtain the current user's driving habits in the following steps, and match the optimal following distance between the nearest and farthest following distance of the target vehicle in the assisted driving mode based on the driving habits, effectively improving the vehicle's intelligence level and enhancing the user's driving experience.

[0057] In one embodiment of this application, obtaining the current user's driving habits includes: collecting the current user's historical driving data; and generating driving habits based on the historical driving data.

[0058] In actual implementation, the embodiments of this application can collect the current user's historical driving data. For example, the current user can be identified by the front camera, and the stored historical driving data of the current user can be collected, thereby generating driving habits based on the historical driving data, which effectively improves the user's driving experience.

[0059] Optionally, in one embodiment of this application, before matching the optimal following distance between the nearest and farthest following distances of the target vehicle in assisted driving mode based on driving habits, the method further includes: collecting vehicle parameters of the current preceding vehicle; generating correction values ​​based on the vehicle parameters; and using the correction values ​​to correct the nearest and farthest following distances.

[0060] In some embodiments, this application embodiment can collect vehicle parameters of the vehicle in front, such as vehicle acceleration and direction. Correction values ​​can be generated based on the vehicle parameters of the vehicle in front, and the nearest and farthest following distances can be corrected using the correction values. This allows for real-time detection of vehicle following distances, reducing the user's sense of urgency and improving the user's driving experience.

[0061] Optionally, in one embodiment of this application, after matching the optimal following distance between the nearest and farthest following distance of the target vehicle in assisted driving mode based on driving habits, the method further includes: receiving the current user's setting instruction; correcting the optimal following distance according to the setting instruction, wherein a collision warning is issued when the corrected optimal following distance exceeds the nearest following distance.

[0062] As one possible implementation method, this application embodiment can receive the current user's setting instructions. For example, the user can set the following distance via voice according to their own habits. Then, this application embodiment can correct the optimal following distance according to the received setting instructions. When the corrected optimal following distance exceeds the nearest following distance, a collision warning can be issued, such as flashing interior lights and issuing a collision voice reminder, thereby improving the vehicle's interactivity, enhancing the user's driving experience, and improving the vehicle's safety and reliability.

[0063] like Figure 3As shown below, the specific working principle of the embodiments of this application will be described in detail with a specific example.

[0064] Step S301: Build a real vehicle following and stopping scenario.

[0065] Step S302: In the normal driving position, confirm the position of the nearest stopping distance of the vehicle in front.

[0066] Step S303: Measure the longitudinal distance between the front of this vehicle and the rear of the vehicle in front to ensure vehicle safety.

[0067] Step S304: Based on the obtained following distance, simulate the following scenario and check whether the following distance is appropriate. If the following distance is appropriate, proceed to step S305; otherwise, proceed to step S302.

[0068] Step S305: Confirm the furthest and closest following distances, thereby effectively reducing the user's sense of pressure and improving the user's driving experience.

[0069] Step S306: In the normal driving position, confirm the position of the furthest following distance of the vehicle in front.

[0070] Step S307: Measure the longitudinal distance between the front of this vehicle and the rear of the vehicle in front to ensure vehicle safety.

[0071] Step S308: Based on the obtained following distance, simulate the following scenario and check whether the following distance is appropriate. If the following distance is appropriate, proceed to step S309; ​​otherwise, proceed to step S306.

[0072] Step S309: Confirm the furthest and closest following distances, thereby effectively reducing the user's sense of pressure and improving the user's driving experience.

[0073] The vehicle following distance determination method proposed in this application can calculate the closest and furthest acceptable following distances of the target vehicle from the user's perspective based on the detected blind spots. It then matches the optimal following distance between the closest and furthest following distances of the target vehicle in assisted driving mode based on the user's driving habits. This effectively reduces the user's sense of urgency, improves the user's driving experience, enhances the vehicle's reliability and applicability, and meets the user's driving needs. Therefore, it solves the technical problems in related technologies where the following distance cannot be determined based on the vehicle model, increasing the user's sense of urgency, reducing the user's driving experience, and having low applicability, thus failing to meet the user's driving needs.

[0074] Next, the following description refers to the accompanying drawings of the vehicle following distance determination device proposed according to the embodiments of this application.

[0075] Figure 4This is a block diagram of a vehicle following distance determination device according to an embodiment of this application.

[0076] like Figure 4 As shown, the vehicle following distance determination device 10 includes: a detection module 100, a calculation module 200, and a control module 300.

[0077] Specifically, the detection module 100 is used to detect the blind spot of the target vehicle in the user's field of vision.

[0078] The calculation module 200 is used to calculate the nearest and farthest acceptable following distances of the target vehicle from the user's perspective, based on the user's blind spot.

[0079] The control module 300 is used to obtain the current user's driving habits and, based on the driving habits, match the optimal following distance between the nearest and farthest following distances of the target vehicle in the assisted driving mode.

[0080] Optionally, in one embodiment of this application, the detection module 100 includes: an acquisition unit and a first calculation unit.

[0081] The acquisition unit is used to acquire the actual vehicle model of the target vehicle.

[0082] The first calculation unit is used to calculate the user's blind spot based on the actual vehicle model.

[0083] Optionally, in one embodiment of this application, the computing module 200 includes a second computing unit and a third computing unit.

[0084] The second calculation unit is used to calculate the following distance from the user's perspective to the position of the tailgate of the vehicle in front, and to obtain the closest following distance.

[0085] The third calculation unit is used to calculate the furthest following distance from the user's perspective, which is the distance from the rear chassis of the vehicle in front to the point of stopping.

[0086] Optionally, in one embodiment of this application, obtaining the current user's driving habits includes collecting the current user's historical driving data and generating driving habits based on the historical driving data.

[0087] Optionally, in one embodiment of this application, the apparatus 10 of this application embodiment further includes: a data acquisition module and a first correction module.

[0088] The data acquisition module is used to collect vehicle parameters of the vehicle in front before matching the optimal following distance between the nearest and farthest following distances of the target vehicle in assisted driving mode based on driving habits.

[0089] The first correction module is used to generate correction values ​​based on vehicle parameters before matching the optimal following distance between the nearest and farthest following distances of the target vehicle in assisted driving mode based on driving habits, and to correct the nearest and farthest following distances using the correction values.

[0090] Optionally, in one embodiment of this application, the apparatus 10 of this application embodiment further includes: a receiving module and a second correction module.

[0091] The receiving module is used to receive the current user's setting instructions after matching the optimal following distance between the nearest and farthest following distances of the target vehicle in assisted driving mode based on driving habits.

[0092] The second correction module is used to correct the optimal following distance according to the setting instructions after matching the optimal following distance between the nearest and farthest following distances of the target vehicle in the assisted driving mode based on driving habits. Specifically, a collision warning is issued when the corrected optimal following distance exceeds the nearest following distance.

[0093] It should be noted that the foregoing explanation of the vehicle following distance determination method embodiment also applies to the vehicle following distance determination device of this embodiment, and will not be repeated here.

[0094] The vehicle following distance determination device proposed in this application can calculate the closest and furthest acceptable following distances of the target vehicle from the user's perspective based on the detected blind spots. It then matches the optimal following distance between the closest and furthest following distances of the target vehicle in assisted driving mode based on the user's driving habits. This effectively reduces the user's sense of urgency, improves the user's driving experience, enhances the vehicle's reliability and applicability, and meets the user's driving needs. Therefore, it solves the technical problems in related technologies where the following distance cannot be determined based on the vehicle model, increasing the user's sense of urgency, reducing the user's driving experience, and having low applicability, thus failing to meet the user's driving needs.

[0095] Figure 5 A schematic diagram of the structure of a vehicle provided in an embodiment of this application. The vehicle may include:

[0096] The memory 501, the processor 502, and the computer program stored on the memory 501 and capable of running on the processor 502.

[0097] When processor 502 executes the program, it implements the vehicle following distance determination method provided in the above embodiments.

[0098] Furthermore, the vehicle also includes:

[0099] Communication interface 503 is used for communication between memory 501 and processor 502.

[0100] The memory 501 is used to store computer programs that can run on the processor 502.

[0101] The memory 501 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0102] If the memory 501, processor 502, and communication interface 503 are implemented independently, then the communication interface 503, memory 501, and processor 502 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 5 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0103] Optionally, in a specific implementation, if the memory 501, processor 502, and communication interface 503 are integrated on a single chip, then the memory 501, processor 502, and communication interface 503 can communicate with each other through an internal interface.

[0104] Processor 502 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0105] This embodiment also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for determining the following distance of a vehicle.

[0106] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0107] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0108] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0109] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0110] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0111] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it includes one or a combination of the steps of the method embodiments.

[0112] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0113] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for determining the following distance of a vehicle, characterized in that, Includes the following steps: Detect the blind spot of the target vehicle in the user's field of vision; Calculate the acceptable closest and furthest following distances of the target vehicle from the user's perspective based on the user's blind spot. as well as Obtain the current user's driving habits, and based on the driving habits, match the optimal following distance between the nearest following distance and the farthest following distance of the target vehicle in assisted driving mode; The calculation of the acceptable closest and furthest following distances of the target vehicle from the user's perspective, based on the user's blind spot, includes: Calculate the following distance from the position of the tailgate of the vehicle in front that can be seen from the user's perspective, and obtain the closest following distance. The following distance at the rear chassis position of the vehicle in front, which can be seen from the user's perspective, is the farthest following distance.

2. The method according to claim 1, characterized in that, The user's blind spot of the target vehicle being detected includes: Obtain the actual vehicle model of the target vehicle; The user's blind spot is calculated based on the actual vehicle model.

3. The method according to claim 1, characterized in that, The process of obtaining the current user's driving habits includes: Collect the current user's historical driving data; The driving habits are generated based on the historical driving data.

4. The method according to claim 1, characterized in that, Before matching the optimal following distance between the nearest and farthest following distances of the target vehicle in the assisted driving mode based on the driving habits, the method further includes: Collect vehicle parameters of the vehicle currently in front; Correction values ​​are generated based on the vehicle parameters, and the nearest stop distance and the farthest stop distance are corrected using the correction values.

5. The method according to claim 1, characterized in that, After matching the optimal following distance between the nearest and farthest following distances of the target vehicle in the assisted driving mode based on the driving habits, the method further includes: Receive the setting instructions from the current user; The optimal following distance is corrected according to the setting instructions, wherein a collision warning is issued when the corrected optimal following distance exceeds the nearest following distance.

6. A device for determining the following distance of a vehicle, characterized in that, include: The detection module is used to detect the blind spots in the user's field of vision of the target vehicle; The calculation module is used to calculate the nearest and farthest acceptable following distances of the target vehicle from the user's perspective, based on the user's blind spot. as well as The control module is used to obtain the current user's driving habits and, based on the driving habits, match the optimal following distance between the nearest following distance and the farthest following distance of the target vehicle in the assisted driving mode.

7. The apparatus according to claim 6, characterized in that, The detection module includes: The acquisition unit is used to acquire the actual vehicle model of the target vehicle; The first calculation unit is used to calculate the user's blind spot based on the actual vehicle model.

8. A vehicle, characterized in that, include: The system includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for determining the following distance of a vehicle as described in any one of claims 1-5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the method for determining the following distance of a vehicle as described in any one of claims 1-5.

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