A method and system for dynamically adjusting driving assistance camera image detection and processing

Abstract

The present invention relates to the field of intelligent driving assistance image detection and processing technology. The present invention discloses a method and system for dynamically adjusting the image detection and processing of a driving assistance camera, including setting a first judgment condition for dynamically adjusting the image detection and processing unit; the driving assistance system judges the state of the image detection and processing unit according to the first judgment condition; classifies the vehicle operation safety level based on the second judgment condition; and dynamically adjusts the working frequency of the driving assistance system based on the divided vehicle operation safety level. The method is based on information such as the stationary state of the vehicle, the vehicle operation safety risk level and temperature, and establishes a mechanism for dynamically adjusting the image detection and processing unit of the driving assistance camera using software, thereby avoiding the image detection and processing unit from working at a fixed frequency, and further reducing the heat load of the image detection and processing unit.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent driving assistance image detection and processing, and in particular to a method and system for dynamically adjusting driving assistance camera image detection and processing. Background Art

[0002] In the existing technology, the driving assistance camera performs image detection and processing at a fixed frame rate. After the vehicle is powered on, the image detection and processing unit runs all the time without considering the current vehicle stationary state, safety risk level, ambient temperature and other information. It does not match the actual control scenario requirements of the vehicle driving assistance planning and control unit, and the image detection and processing unit accounts for about 60% of the power consumption of the driving assistance camera, resulting in waste of system power consumption.

[0003] When the driving assistance camera is exposed to high temperatures, the starting temperature and operating temperature of the driving assistance camera system are very high. If high-frequency image information input is not required in the actual scene, the image detection and processing unit will continue to perform image detection and processing at a fixed frequency after power-on according to the existing strategy. The driving assistance camera heats up rapidly, and the chip power consumption of the driving assistance camera is higher under the heat load, causing the driving assistance camera to easily enter an over-temperature condition, thereby affecting the life of the driving assistance camera chip. Summary of the invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a method for dynamically adjusting the image detection and processing of a driving assistance camera, which can establish a working mechanism for dynamically adjusting the image detection and processing unit of a driving assistance camera using software based on information such as the vehicle's static state (integrating information such as gear position, vehicle speed, brake pedal, seat belt, etc.), vehicle operation safety risk level and temperature. The specific working mechanism includes shutting down or starting the image detection and processing module, adjusting the image detection and processing frame rate, etc.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: a method for dynamically adjusting the image detection and processing of a driving assistance camera, comprising: setting judgment conditions for dynamically adjusting the image detection and processing unit; after the driving assistance camera is powered on, the corresponding function switch of the driving assistance system is set to on, and the planning and control unit dynamically adjusts the working mechanism of the image detection and processing unit according to the rules; the vehicle operation safety level is divided based on the vehicle speed and the number of detection targets; and the working frequency of the image detection and processing unit in the driving assistance system is dynamically adjusted based on the vehicle operation safety risk level.

[0007] As a preferred solution of the method for dynamically adjusting the image detection and processing of the driving assistance camera of the present invention, wherein: the first judgment condition includes the stationary state of the vehicle, the driver's operation of the brake pedal and the operation of the seat belt;

[0008] The second judgment condition includes the total target quantity and vehicle speed of vehicles, pedestrians or two-wheeled vehicles input by the image detection and processing unit.

[0009] As a preferred solution of the method for dynamically adjusting the image detection and processing of the driving assistance camera of the present invention, wherein: the vehicle stationary state is when the vehicle gear signal is valid and the vehicle gear is the parking P gear or the vehicle speed signal is valid and the vehicle speed is equal to 0, it is judged that the vehicle is stationary;

[0010] The chip temperature is the current actual temperature of the image detection and processing unit chip detected by the temperature sensor;

[0011] The driver's operation of the brake pedal is judged as the brake signal is valid and the brake pedal is stepped on to determine the driver's operation intervention of the brake pedal;

[0012] The driver's seat belt operation is judged as the seat belt signal being valid and the seat belt being fastened.

[0013] As a preferred solution of the method for dynamically adjusting the image detection and processing of the driving assistance camera described in the present invention, wherein: the state of the image detection and processing unit is determined to be, when the vehicle is in a stationary state, the driver does not intervene in the brake pedal operation, and the seat belt is not fastened, the conditions are met at the same time, and the duration reaches the calibration value, it is determined that the vehicle will not be in a driving state next, and the driving assistance system does not need to control the vehicle, then the image detection and processing unit is in a closed state, and the image detection and processing is stopped;

[0014] When the vehicle is stationary, the driver does not intervene in the brake pedal operation, the seat belt is fastened, and the duration reaches the calibration value, it is determined that the vehicle will not be in a driving state next, and the driving assistance system does not need to control the vehicle, then the image detection and processing unit is also in a closed state, and image detection and processing are stopped;

[0015] When the vehicle gear is valid and the vehicle gear is in the D gear and the vehicle speed is valid and the vehicle speed is greater than 0, the image detection and processing unit is in the on state, and image detection and processing are started.

[0016] As a preferred solution of a method for dynamically adjusting image detection and processing of a driving assistance camera according to the present invention, wherein: the classification of the vehicle operation safety level includes dividing the safety risk level into level 1, level 2, and level 3 according to the total number of targets of vehicles, pedestrians, or two-wheeled vehicles and the vehicle speed input by the image detection and processing unit, and the judgment conditions are as follows:

[0017] Level 1 means the number of targets T ≤ N1 and the vehicle speed 0 < V ≤ V1;

[0018] Level 2 means the number of targets N1 < T < N3 or the vehicle speed V1 < V < V3;

[0019] Level 3 means the number of targets T ≥ N3 or the vehicle speed V ≥ V3.

[0020] As a preferred solution of a method for dynamically adjusting image detection and processing of a driving assistance camera according to the present invention, wherein: the dynamic adjustment of the working frequency of the driving assistance system includes that when the vehicle operation safety risk level is at level 1, the planning and control unit inputs a preset parameter value F1 to the image detection and processing unit, and the image detection and processing unit performs image detection and processing at the frequency F1;

[0021] When the vehicle operation safety risk level is at level 2, the planning and control unit inputs a preset parameter value F2 to the image detection and processing unit, and the image detection and processing unit performs image detection and processing at the frequency F2;

[0022] When the vehicle operation safety risk level is at level 3, the planning and control unit inputs a preset parameter value F3 to the image detection and processing unit, and the image detection and processing unit performs image detection and processing at the frequency F3.

[0023] As a preferred solution of a method for dynamically adjusting image detection and processing of a driving assistance camera according to the present invention, wherein: the working frequency includes that the safety risk levels N1 < N3, the vehicle speeds V1 < V3, and the frequencies F1 < F3;

[0024] Wherein the calculation process of the frequency F2 is as follows:

[0025]

[0026] F2 is the look-up table difference based on the longitudinal speed and frequency between level 1 and level 3, and the image detection and processing unit performs image detection and processing at the frequency F2;

[0027] When the chip temperature exceeds W degrees, the planning and control unit requests the power management module to forcibly turn off the power supply to the image detection and processing unit in the chip PMIC 1, so that the image detection and processing unit is in the off state, stops image detection and processing, and notifies the driver through human-machine interaction that the temperature of the driving assistance system is too high.

[0028] Another object of the present invention is to provide a dynamically adjustable driving assistance camera image detection and processing system, which can improve the vehicle's intelligent driving assistance level, enhance driving safety, reduce traffic accidents, and improve driving comfort and convenience.

[0029] As a preferred solution of a dynamic adjustment driving assistance camera image detection and processing system described in the present invention, it includes: a power management unit 100, a camera module 200, an image detection and processing unit 300, a planning and control unit 400, a power management unit and other vehicle control and execution units 500, and a temperature sensor 600;

[0030] The power management unit includes two power management chips, chip PMIC 1 is responsible for the power management of the image detection and processing unit, and chip PMIC 2 is responsible for the power management of the planning and control unit;

[0031] The camera module integrates a camera lens and an image sensor for capturing and transmitting image signals;

[0032] The image detection and processing unit performs image preprocessing on the image signal input by the camera module, and uses a perception algorithm to detect and process vehicles, pedestrians, and two-wheeled vehicles in the image, and divides the safety risk level according to the total number of input vehicles, pedestrians, or two-wheeled vehicles and the speed of the vehicle;

[0033] The planning and control unit outputs vehicle control and human-machine interaction signal requests corresponding to the driving assistance function based on information input by the image detection and processing unit, other vehicle control and execution units, and the temperature sensor, and dynamically adjusts the working mechanism of the image detection and processing unit;

[0034] The other vehicle control and execution unit inputs the vehicle's gear position, speed, driver's operation of the vehicle brake pedal, and seat belt information to the planning and control unit, and responds to the vehicle acceleration, deceleration and steering instructions output by the planning and control module and feeds back the execution results;

[0035] The temperature sensor senses the chip temperature in the image detection and processing unit.

[0036] A computer device includes a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, a step of dynamically adjusting a driving assistance camera image detection and processing method is implemented.

[0037] A computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of a method for dynamically adjusting image detection and processing of a driving assistance camera are implemented.

[0038] The beneficial effects of the present invention are as follows: the image detection and processing unit, as a module with a high energy consumption ratio in the driving assistance system, realizes a working mechanism of dynamically adjusting image detection and processing by software. The image detection and processing unit can be turned off when the driving assistance system is not needed to control the vehicle. When the driving assistance system is needed to control the vehicle but the vehicle operation safety risk level is low, the image detection and processing module is dynamically adjusted to adapt to a lower operating frequency, thereby avoiding the image detection and processing unit working at a fixed frequency. Experiments show that the working energy consumption of the driving assistance system in urban conditions can be reduced by 30%.

[0039] Under high temperature and exposure conditions, the operating frequency of the image detection and processing unit is dynamically adjusted according to the actual operating conditions of the vehicle, so that the image detection and processing unit operates under an average lower power consumption condition, further reducing the thermal load of the image detection and processing unit, and avoiding the high temperature and short chip life of the image detection and processing unit and frequent over-temperature faults. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0041] Figure 1 A schematic flow chart of a method for dynamically adjusting driving assistance camera image detection and processing is provided for one embodiment of the present invention.

[0042] Figure 2 A schematic diagram of dynamically adjusting the image detection and processing frequency of a method for dynamically adjusting the image detection and processing of a driving assistance camera provided by an embodiment of the present invention.

[0043] Figure 3 A schematic diagram of a driving assistance camera system architecture for dynamically adjusting a driving assistance camera image detection and processing system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0044] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0045] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0046] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

[0047] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0048] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, which are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0049] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0050] Example 1, reference Figure 1 and Figure 2, which is the first embodiment of the present invention, provides a method for dynamically adjusting driving assistance camera image detection and processing, comprising:

[0051] S1: Setting a first determination condition of a dynamically adjusted image detection and processing unit.

[0052] Furthermore, the first judgment condition includes the stationary state of the vehicle, the driver's operation of the brake pedal and the operation of the seat belt;

[0053] The second judgment condition includes the total target quantity and vehicle speed of vehicles, pedestrians or two-wheeled vehicles input by the image detection and processing unit.

[0054] It should be noted that the vehicle stationary state is when the vehicle gear signal is valid and the vehicle gear is the parking P gear or the vehicle speed signal is valid and the vehicle speed is equal to 0, the vehicle is judged to be stationary;

[0055] The driver's operation of the brake pedal is judged as the brake signal is valid and the brake pedal is stepped on to determine the driver's operation intervention of the brake pedal;

[0056] The driver's seat belt operation is judged as the seat belt signal being valid and the seat belt being fastened.

[0057] S2: The driving assistance system determines the state of the image detection and processing unit according to the first judgment condition.

[0058] Furthermore, the state of the image detection and processing unit is determined to be closed, and image detection and processing are stopped when the vehicle is stationary, the driver does not intervene in the brake pedal operation, and the seat belt is not fastened, and the duration reaches a calibration value, and it is determined that the vehicle will not be in a driving state next, and the driving assistance system does not need to control the vehicle.

[0059] When the vehicle is stationary, the driver does not intervene in the brake pedal operation, the seat belt is fastened, and the duration reaches the calibration value, it is determined that the vehicle will not be in a driving state next, and the driving assistance system does not need to control the vehicle, then the image detection and processing unit is also in a closed state, and image detection and processing are stopped;

[0060] When the vehicle gear is valid and the vehicle gear is in the D gear and the vehicle speed is valid and the vehicle speed is greater than 0, the image detection and processing unit is in the on state, and image detection and processing are started.

[0061] S3: Classifying the vehicle operation safety level based on the second judgment condition.

[0062] Further, the classification of the vehicle operation safety level includes classifying the safety risk level into level 1, level 2, and level 3 according to the total number of targets of vehicles, pedestrians, or two-wheeled vehicles input by the image detection and processing unit and the vehicle speed. The judgment conditions are as follows:

[0063] Level 1 means that the number of targets T ≤ N1 and the vehicle speed 0 < V ≤ V1;

[0064] Level 2 means that the number of targets N1 < T < N3 or the vehicle speed V1 < V < V3;

[0065] Level 3 means that the number of targets T ≥ N3 or the vehicle speed V ≥ V3.

[0066] S4: Dynamically adjust the working frequency of the driving assistance system based on the classified vehicle operation safety level.

[0067] Further, the dynamic adjustment of the working frequency of the image detection and processing unit in the driving assistance system includes that when the vehicle operation safety risk level is at level 1, the planning and control unit inputs a preset parameter value F1 to the image detection and processing unit, and the image detection and processing unit performs image detection and processing at the frequency F1;

[0068] When the vehicle operation safety risk level is at level 3, the planning and control unit inputs a preset parameter value F3 to the image detection and processing unit, and the image detection and processing unit performs image detection and processing at the frequency F3;

[0069] Among them, N1 < N3, V1 < V3, and F1 < F3;

[0070] When the vehicle operation safety risk level is at level 2, the planning and control unit inputs a preset parameter value F2 to the image detection and processing unit,

[0071]

[0072] F2 is the lookup table difference based on the longitudinal speed and frequency between level 1 and level 3, and the image detection and processing unit performs image detection and processing at the frequency F2;

[0073] When the chip temperature exceeds W degrees, the planning and control unit requests the power management module to forcibly turn off the power supply to the image detection and processing unit in the chip PMIC 1, so that the image detection and processing unit is in the off state, stops image detection and processing, and notifies the driver through human-computer interaction that the temperature of the driving assistance system is too high.

[0074] Embodiment 2, an embodiment of the present invention, provides a method for dynamically adjusting the image detection and processing of a driving assistance camera. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through experiments.

[0075] By building an in-the-loop simulation platform, the simulation platform uses a camera controller with a mechanism for dynamically adjusting image detection and processing frame rate as the device under test, and a camera controller with fixed frame rate power consumption as the comparison device. The peripherals are matched with virtual scene simulation and real-time simulation systems to jointly construct a virtual operating environment for the controller under test; virtual scenes are used to simulate the creation of virtual scenes with few targets, moderate targets, or multiple targets, and a video darkroom is used to provide a video acquisition environment for the camera. The real-time simulation system is used to simulate scenes where the vehicle is stationary and the speed is low / medium / high. The operating current and voltage of the camera are recorded through an oscilloscope, and the product of the current and voltage is used to obtain the power consumption of the camera. Under the same driving conditions, the power consumption comparison between the fixed frame rate comparison device and the dynamically adjusted frame rate test device is as follows:

[0076]

[0077] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

[0078] Embodiment 3, the third embodiment of the present invention, is different from the first two embodiments in that:

[0079] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0080] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0081] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0082] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0083] Example 4, reference Figure 3 , which is an embodiment of the present invention, provides a dynamically adjustable driving assistance camera image detection and processing system, characterized by: a power management unit 100, a camera module 200, an image detection and processing unit 300, a planning and control unit 400, a power management unit and other vehicle control and execution units 500, and a temperature sensor 600.

[0084] The power management unit 100 includes two power management chips, chip PMIC 1 is responsible for the power management of the image detection and processing unit, and chip PMIC 2 is responsible for the power management of the planning and control unit;

[0085] The camera module 200 integrates a camera lens and an image sensor for capturing and transmitting image signals;

[0086] The image detection and processing unit 300 performs image preprocessing on the image signal input by the camera module, and uses a perception algorithm to detect and process vehicles, pedestrians, and two-wheeled vehicles in the image, and divides the safety risk level according to the total number of input vehicles, pedestrians, or two-wheeled vehicles and the speed of the vehicles;

[0087] The planning and control unit outputs vehicle control and human-machine interaction signal requests corresponding to the driving assistance function based on the information input by the image detection and processing unit 400, other vehicle control and execution units, and the temperature sensor, and dynamically adjusts the working mechanism of the image detection and processing unit;

[0088] The vehicle other control and execution unit 500 inputs the vehicle gear position, speed, driver's operation of the vehicle brake pedal, and seat belt information to the planning and control unit, and responds to the vehicle acceleration, deceleration and steering instructions output by the execution planning and control module and feeds back the execution results;

[0089] The temperature sensor 600 senses the chip temperature in the image detection and processing unit;

[0090] The camera module, image detection and processing unit, planning and control unit, temperature sensor, power management unit and other control and execution units of the vehicle are connected through a signal interface.

[0091] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for dynamically adjusting driving assistance camera image detection and processing, characterized in that: Including, Setting the first judgment condition for dynamically adjusting the image detection and processing unit; The driving assistance system judges the state of the image detection and processing unit according to the first judgment condition; Dividing the vehicle operation safety level based on the second judgment condition; Dynamically adjusting the working frequency of the driving assistance system based on the divided vehicle operation safety level.

2. A method for detecting and processing images of a dynamically adjusted driving assistance camera according to claim 1, characterized in that: The first judgment condition includes the vehicle stationary state, the driver's operation on the brake pedal, and the operation on the seat belt; The second judgment condition includes the total number of targets of vehicles, pedestrians or two-wheelers input by the image detection and processing unit and the vehicle speed.

3. A method for detecting and processing images of a dynamically adjusted driving assistance camera according to claim 2, characterized in that: The vehicle stationary state includes that when the vehicle gear signal is valid and the vehicle gear is in the parking P gear, or the vehicle speed signal is valid and the vehicle speed is equal to 0, it is judged that the vehicle is in the stationary state; The driver's operation on the brake pedal is that when the brake signal is valid and the brake pedal is depressed, it is judged that the driver's operation on the brake pedal intervenes; The driver's operation on the seat belt is that when the seat belt signal is valid and the seat belt is fastened, it is judged that the driver's operation on the seat belt intervenes.

4. A method for detecting and processing images of a dynamically adjusted driving assistance camera according to claim 3, characterized in that: Judging the state of the image detection and processing unit includes that when the vehicle is in the stationary state, the driver does not intervene in the operation of the brake pedal, and the seat belt is not fastened, and the duration reaches the calibrated value, it is judged that the vehicle will not be in the driving state next, and the driving assistance system does not need to control the vehicle, so the image detection and processing unit is in the off state and stops image detection and processing; When the vehicle is in the stationary state, the driver does not intervene in the operation of the brake pedal, and the seat belt is fastened, and the duration reaches the calibrated value, it is judged that the vehicle will not be in the driving state next, and the driving assistance system does not need to control the vehicle, so the image detection and processing unit is also in the off state and stops image detection and processing; When the vehicle gear is valid, the vehicle gear is in the D gear, the vehicle speed is valid, and the vehicle speed is greater than 0, the image detection and processing unit is in the on state and starts image detection and processing.

5. A method for detecting and processing images of a dynamic driving assistance camera according to claim 4, characterized in that: Dividing the vehicle operation safety level includes dividing the safety risk level into level 1, level 2, and level 3 according to the total number of targets of vehicles, pedestrians or two-wheelers input by the image detection and processing unit and the vehicle speed. The judgment conditions are as follows: Level 1 means the number of targets T≤N1, and the vehicle speed 0<V≤V1; Level 2 means N1<T<N3, or the vehicle speed V1<V<V3; Level 3 means the number of targets T≥N3, or the vehicle speed V≥V3.

6. A method for detecting and processing images of a dynamically adjusted driving assistance camera according to claim 5, characterized in that: Dynamically adjusting the working frequency of the driving assistance system includes that when the vehicle operation safety risk level is at level 1, the planning and control unit inputs a preset parameter value F1 to the image detection and processing unit, and the image detection and processing unit performs image detection and processing at the frequency F1; When the vehicle operation safety risk level is at level 2, the planning and control unit inputs a preset parameter value F2 to the image detection and processing unit, and the image detection and processing unit performs image detection and processing at the frequency F2; When the vehicle operation safety risk level is at level 3, the planning and control unit inputs a preset parameter value F3 to the image detection and processing unit, and the image detection and processing unit performs image detection and processing at the frequency F3.

7. A method for detecting and processing images of a dynamic driving assistance camera according to claim 6, characterized in that: The safety risk level N1<N3, the vehicle speed V1<V3, the frequency F1 <F3; The frequency F2 calculation process is: F2 is a table lookup difference between level 1 and level 3 based on longitudinal velocity and frequency, and the image detection and processing unit performs image detection and processing according to frequency F2.

8. A system using a method for dynamically adjusting driving assistance camera image detection and processing as claimed in any one of claims 1 to 7, characterized in that: It includes a power management unit 100, a camera module 200, an image detection and processing unit 300, a planning and control unit 400, a power management unit and other vehicle control and execution units 500, and a temperature sensor 600; The power management unit includes two power management chips, chip PMIC 1 is responsible for the power management of the image detection and processing unit, and chip PMIC 2 is responsible for the power management of the planning and control unit; The camera module integrates a camera lens and an image sensor for capturing and transmitting image signals; The image detection and processing unit performs image preprocessing on the image signal input by the camera module, and uses a perception algorithm to detect and process vehicles, pedestrians, and two-wheeled vehicles in the image, and divides the safety risk level according to the total number of input vehicles, pedestrians, or two-wheeled vehicles and the speed of the vehicle; The planning and control unit outputs vehicle control and human-machine interaction signal requests corresponding to the driving assistance function based on information input by the image detection and processing unit, other vehicle control and execution units, and the temperature sensor, and dynamically adjusts the working mechanism of the image detection and processing unit; The other vehicle control and execution unit inputs the vehicle's gear position, speed, driver's operation of the vehicle brake pedal, and seat belt information to the planning and control unit, and responds to the vehicle acceleration, deceleration and steering instructions output by the planning and control module and feeds back the execution results; The temperature sensor senses the chip temperature in the image detection and processing unit.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

Images