A high-definition camera system shared by streaming media and rear-view camera

Abstract

The invention discloses a high-definition camera system shared by streaming media and rear-view cameras, and relates to the technical field of rear-view cameras, comprising a camera acquisition module, a camera correction module, an image analysis module, a path analysis module and an execution display module; the camera correction module corrects camera images and adjusts the camera angle of a wide-angle camera; the image analysis module obtains a lane-changing safety factor, a vehicle static safety factor and a reverse safety factor through analysis based on the camera correction module data; the path analysis module analyzes an image transmission path to obtain a quality reduction by analyzing the quality of the transmitted image, and analyzes the image transmission path and delay to obtain a channel matching number; the execution display module receives a signal to perform execution display; this system corrects photographic images, reduces image deformation, effectively improves the quality and usability of camera images, and provides a safer and more convenient driving experience for the driver.

Description

Technical Field

[0001] The invention relates to the technical field of rear-view camera technology, in particular to a high-definition camera system shared by streaming media and rear-view camera. Background Art

[0002] At present, the high-definition camera system that combines streaming media with rear-view cameras has shown its potential in the automotive field. Images are captured by high-definition cameras and transmitted to the in-vehicle display screen in real time using real-time streaming technology, realizing instant reversing assistance and real-time streaming functions. However, some challenges still exist, such as the contradiction between distance and angle, different latency requirements, image viewing angle differences, and video output diversion problems. Summary of the invention

[0003] In order to solve the contradiction between distance and angle, different delay requirements, image viewing angle differences and video output splitting problems, the present invention is proposed. An embodiment of the present invention provides a high-definition camera system for streaming media and rear-view cameras.

[0004] The object of the present invention can be achieved by the following technical solutions: A high-definition camera system for streaming media and rear-view camera, including a camera correction module, an image analysis module and a path analysis module;

[0005] The camera correction module corrects the camera image and adjusts the camera angle of the wide-angle camera, and controls the camera angle of the wide-angle camera by collecting the driving status of the car; the angle interval of the camera angle is the angle range from the initial point to the end point, the angle value is an arbitrary value in the angle interval, and then the effective camera distance is determined by the size of the angle value; the process of correcting the photographic image is: according to the specifications of the wide-angle camera and the preset area deformation correction straight line arc deformation quantity of the photographic image with different angle values, the photographic image with the same angle is averaged to obtain the arc average variable, and it is paired with the correction factor corresponding to the preset different angle values ​​and calculated to obtain the correction value, and correction is performed according to the correction value;

[0006] The image analysis module is used to analyze the environment of the lane behind the car, the environment of the rear obstacle when the car is idling and stationary, and the environment of the rear obstacle when the car is reversing or idling in reverse gear. The specific process is: analyzing the environment of the lane behind the car to obtain the lane change safety factor, and comparing it with the preset lane change safety factor range to generate a low safety signal 1, a medium safety signal 1 and a high safety signal 1;

[0007] When the vehicle is idle and stationary in the forward direction, the vehicle static safety coefficient is analyzed; it is compared with the preset vehicle static safety coefficient range to generate low safety signal 2, medium safety signal 2 and high safety signal 2;

[0008] Analyze the obstacle environment behind the car when it is reversing or in reverse gear and idling, and use a wide-angle camera to perform statistical analysis on the obstacles to obtain a reverse safety coefficient; compare it with the preset reverse safety coefficient screening value. If the reverse safety coefficient is less than the preset reverse safety coefficient screening value, the obstacle will be considered a non-impact obstacle; if the reverse safety coefficient is greater than or equal to the preset reverse safety coefficient screening value, the obstacle will be considered an impact obstacle and a warning signal will be generated;

[0009] The path analysis module analyzes the image transmission path to perform transmission in different channels.

[0010] As a preferred embodiment of the present invention, it also includes a camera acquisition module and an execution display module;

[0011] The camera acquisition module is used to capture the environment of the lane behind the car, the environment of the rear obstacles when the car is reversing, and the angle of the rear wide-angle camera; including the recognition and capture of various elements such as other vehicles, pedestrians, bicycles and animals; at the same time, it is also used to monitor the rear obstacles when the car is reversing, including trash cans, roadblocks, curbs, obstructions, and the situation of the reversing blind spot; it is also used to obtain the angle information of the rear wide-angle camera;

[0012] The execution display module is used to receive signals for execution display.

[0013] As a preferred implementation manner of the present invention, the camera correction module divides the camera area, specifically:

[0014] When the vehicle is driving or idling, the photographic image is divided into three areas, namely, the area directly behind the vehicle body, the area to the left rear of the vehicle body, and the area to the right rear of the vehicle body; when the vehicle is reversing or in reverse gear and idling, the photographic image is divided into five areas, namely, area one, area two, area three, area four, and area five.

[0015] As a preferred embodiment of the present invention, the specific process of the image analysis module analyzing the environmental conditions of the lane behind the vehicle is as follows:

[0016] When driving in the forward direction, the number of other vehicles in the lane behind the car is counted through the wide-angle camera, and then the position changes of other vehicles in different areas behind the car and the speed of the own vehicle in time intervals are collected through the wide-angle camera, and the average speed of other vehicles in the area is calculated. Then the speed of the own vehicle, the speed of other vehicles and the distance between the two vehicles are substituted into the coordinate model to obtain the lane change safety map to obtain the dispersion value in the enclosed area, which is used as the lane change safety coefficient, and the lane change safety coefficient is compared with the preset lane change safety coefficient intervals, which are the preset lane change safety coefficient intervals of safety interval one, safety interval two and safety interval three; if the lane change safety coefficient is within safety interval one, it is a low safety level and a low safety signal one is generated; if the lane change safety coefficient is within safety interval two, it is a medium safety level and a medium safety signal one is generated; if the lane change safety coefficient is within safety interval three, it is a low safety level and a high safety signal one is generated.

[0017] As a preferred embodiment of the present invention, the specific process of the image analysis module analyzing the idle stationary state is as follows:

[0018] When idling in the forward direction, the number of pedestrians, bicycles and animals is counted and assigned pedestrian values, vehicle values ​​and animal values ​​respectively, which are matched with the corresponding preset weight factors, and the vehicle quiet safety coefficient is obtained through weighted calculation; it is compared with the preset vehicle quiet safety coefficient intervals, which are quiet safety interval one, quiet safety interval two and quiet safety interval three; if the vehicle quiet safety coefficient is within quiet safety interval one, it is a high safety level, and high safety signal two is generated; if the vehicle quiet safety coefficient is within quiet safety interval two, it is a medium safety level, and medium safety signal two is generated; if the vehicle quiet safety coefficient is within quiet safety interval three, it is a low safety level, and low safety signal two is generated.

[0019] As a preferred embodiment of the present invention, the specific process of the image analysis module analyzing the rear obstacle environment when the car is reversing or idling in reverse gear is as follows:

[0020] Obstacles are statistically analyzed through a wide-angle camera, and obstacle data includes distance, size, shape, brightness and position. It is determined whether the obstacle position exists in the corresponding area. If the obstacle position exists in the corresponding area, the obstacle position is assigned a value, and domain one value, domain two value and domain three value are collectively referred to as area value. The data is substituted into a computer model to obtain an inverted safety diagram, and the volume of the model in the inverted safety diagram is obtained, which is used as the inverted safety coefficient. It is compared with the preset inverted safety coefficient screening value. If the inverted safety coefficient is less than the preset inverted safety coefficient screening value, the obstacle is considered to have no impact on the obstacle. If the inverted safety coefficient is greater than or equal to the preset inverted safety coefficient screening value, the obstacle is considered to have an impact on the obstacle, and a warning signal is generated.

[0021] As a preferred implementation of the present invention, the path analysis module analyzes the quality of the transmitted image, and the specific process is as follows:

[0022] The quality reduction is calculated by collecting the PSNR, SSIM and VIF of the transmitted image and comparing them with the image quality specifications of the wide-angle camera; the quality reduction is then compared with the quality reduction range through the image program; if the quality reduction belongs to the quality reduction range one, it is used directly; if the quality reduction belongs to the quality reduction range two, the quality of the transmitted image is improved, and the current quality reduction is calculated to see whether it exists in the quality reduction range one. If so, it is used; if not, it is listed as the quality reduction range three; if the quality reduction belongs to the quality reduction range three, the transmitted image is divided into several time periods to analyze the image quality of a certain time period, and the image quality reduction of the time period is obtained by calculation, and the image quality reduction of the image time period is compared with the preset quality reduction threshold. If the image quality reduction of the time period is less than the preset quality reduction threshold, it is retained; if the image quality reduction of the time period is greater than or equal to the preset quality reduction threshold, it is deleted.

[0023] As a preferred implementation of the present invention, the path analysis module analyzes the image transmission path and delay, and the specific process is as follows:

[0024] By building a dedicated image transmission channel including a dedicated vehicle-mounted optical fiber channel, a vehicle-mounted network channel and a vehicle-mounted wireless channel; then collecting the resolution, refresh rate and response speed of each vehicle-mounted display screen, and assigning them as resolution value, refresh value and response speed value respectively; substituting the calculation model into a channel match map, and calculating the model area in the channel match map, and taking the model area as the channel match number; matching the channel match number through preset channel match number intervals, the preset channel match number intervals are match number interval one, match number interval two and match number interval three; if the channel match number is within match number interval one, use the dedicated vehicle-mounted optical fiber channel; if the channel match number is within match number interval two, use the vehicle-mounted network channel; if the channel match number is within match number interval three, use the vehicle-mounted wireless channel; each vehicle-mounted display screen simultaneously performs channel transmission.

[0025] The beneficial effects of the present invention are:

[0026] 1. The present invention uses a camera correction module to correct the camera image and adjust the camera angle of the wide-angle camera, thereby automatically adjusting the camera angle as the vehicle's driving state changes, thereby improving the efficiency and user experience of the reversing assistance system. According to the vehicle's driving state, the module can intelligently switch the camera angle to ensure that clear and accurate image information can be provided when reversing and moving forward. At the same time, the photographic image is corrected to reduce the deformation of the image, effectively improve the quality and usability of the camera image, and provide the driver with a safer and more convenient driving experience.

[0027] 2. The present invention uses the image analysis module to conduct a comprehensive analysis of the surrounding environment of the car based on the data of the camera correction module, including the vehicle situation in the rear lane when driving, the number of pedestrians, bicycles and animals when stationary, and the rear obstacles when reversing. Through comprehensive analysis and processing of data, the system can automatically identify and evaluate the safety level in different situations, and generate corresponding warning signals, thereby improving the driver's safety awareness and driving safety.

[0028] Intelligent image analysis technology can not only help drivers detect potential dangerous situations in a timely manner, but also provide accurate safety tips, effectively reduce the occurrence of traffic accidents, and provide reliable protection for vehicle driving.

[0029] 3. The present invention uses a path analysis module to comprehensively analyze the image transmission path, including the evaluation of the quality of the transmitted image and the selection of a suitable image transmission channel. By calculating and comparing image quality parameters (such as PSNR, SSIM and VIF), the quality reduction of the transmitted image is determined, and processing is performed according to a preset quality reduction range. At the same time, in response to the delay problem of the image transmission path, a dedicated image transmission channel is built, including a dedicated vehicle-mounted optical fiber channel, a vehicle-mounted network channel and a vehicle-mounted wireless channel, etc., and the appropriate transmission channel is selected by collecting and matching the parameters of the vehicle-mounted display screen.

[0030] The comprehensive analysis and optimization process can effectively improve the quality and efficiency of image transmission, ensuring stable, high-quality image transmission under various conditions, and providing drivers with a safer and more comfortable driving experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] 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. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present invention.

[0032] Figure 1 It is a principle block diagram of the present invention;

[0033] Figure 2 It is a schematic front view of the structure of the wide-angle camera of the present invention;

[0034] Figure 3 A schematic side view of the structure of a wide-angle camera of the present invention;

[0035] Figure 4 A photographing area diagram of the present invention;

[0036] Figure 5 A lane change safety diagram of the present invention;

[0037] Figure 6 It is the inverted diagram of the present invention;

[0038] Figure 7 This is the channel matching diagram of the present invention.

[0039] Figure numerals: 1. wide-angle camera lens; 2. rotating bracket; 3. telescopic pull rod; 4. wide-angle camera; 5. rear of the car. DETAILED DESCRIPTION

[0040] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work also fall within the scope of protection of the present invention.

[0041] As shown in the present invention and claims, unless the context clearly indicates an exception, the words "a", "an", "an" and / or "the" do not refer to the singular, but also include the plural. Generally speaking, the terms "include" and "comprise" only indicate the inclusion of the steps and elements that have been clearly identified, and these steps and elements do not constitute an exclusive list, and the method or device may also include other steps or elements.

[0042] Although the present invention has made various references to certain modules in the system according to an embodiment of the present invention, any number of different modules can be used and run on a user terminal and / or a server. The modules are only illustrative, and different aspects of the system and method can use different modules.

[0043] The present invention uses a flow chart to illustrate the operations performed by the system according to an embodiment of the present invention. It should be understood that the preceding or following operations are not necessarily performed precisely in order. On the contrary, various steps may be processed in reverse order or simultaneously as required. At the same time, other operations may also be added to these processes, or one or more operations may be removed from these processes.

[0044] Below, the exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments of the present invention, and it should be understood that the present invention is not limited to the exemplary embodiments described here.

[0045] See also Figure 1-Figure 7 As shown, a high-definition camera system for streaming media and rear-view camera includes a camera acquisition module, a camera correction module, an image analysis module, a path analysis module and an execution display module;

[0046] The wide-angle camera 4 is mounted on the rear part 5 of the car and is rotatably connected via the swivel bracket 2. The telescopic pull rod 3 is mounted between the wide-angle camera 4 and the rear part 5 of the car. The wide-angle camera lens 1 is mounted on the wide-angle camera 4.

[0047] The camera acquisition module is used to capture the rear lane environment, the rear obstacle environment when the car is reversing, and the angle of the rear wide-angle camera. Its functions cover comprehensive monitoring of the rear lane environment, including the recognition and capture of various elements such as other vehicles, pedestrians, bicycles and animals; at the same time, it is also responsible for monitoring the rear obstacles when the car is reversing, including trash cans, roadblocks, curb obstacles, etc., as well as the reversing blind spot. In addition, the module can also obtain the angle information of the rear wide-angle camera, that is, Figure 2 and Figure 3 The angles shown provide all-round rear visibility;

[0048] The camera correction module is used to correct the camera image and adjust the camera angle of the wide-angle camera. The camera angle of the wide-angle camera is controlled by collecting the driving status of the car. When the car is reversing, the camera angle of the wide-angle camera is Figure 2 As shown in Figure 2, when the car is moving forward, the wide-angle camera has a camera angle of Figure 3 As shown, the wide-angle camera also supports adjustment within the active angle range; Figure 3 The camera angle shown is marked as the initial point of the angle. Figure 2 The camera angle shown is marked as the end point of the angle; the angle interval is the angle from the initial point to the end point, and the angle value is any value in the angle interval, and the effective camera distance is determined by the size of the angle value;

[0049] The camera area is divided. When the vehicle is moving or idling, the camera image is divided into three areas, namely, the area directly behind the vehicle body, the area to the left rear of the vehicle body, and the area to the right rear of the vehicle body; when the vehicle is reversing or idling in reverse gear, the camera image is divided into five areas, namely, area 1, area 2, area 3, area 4, and area 5;

[0050] Correct the photographic image by collecting the arc deformation of the preset area deformation correction straight line according to the specifications of the wide-angle camera and the photographic image of different angle values, calculating the average value of the photographic image at the same angle to obtain the arc average variable, matching it with the correction factors corresponding to the preset different angle values, and then calculating the correction value, and correcting it;

[0051] The image analysis module performs analysis based on the data from the camera correction module. The specific analysis process is as follows:

[0052] The environment of the lane behind the car is analyzed. When driving in the forward direction, the wide-angle camera is used to count the number of other vehicles in the lane behind the car. The wide-angle camera is then used to collect the position changes of other vehicles in different areas behind the car and the speed of the vehicle itself. The average speed of other vehicles in the area is calculated, and the speed of the vehicle itself, the speed of other vehicles and the distance between the two vehicles are substituted into the coordinate model to obtain the lane change safety map. The speed of the vehicle itself is the current speed displayed on Y, and the distance between other vehicles and the vehicle itself is displayed on X; in the area enclosed by the current speed and the distance between the vehicles, a The number of circles with a certain radius is used as the average speed of other vehicles, and the dispersion value of the number of circles with a certain radius in the area surrounded by the current speed and the distance between the vehicles is calculated, which is used as the lane change safety coefficient, and compared with the preset lane change safety coefficient intervals, which are the lane change safety coefficient intervals 1, 2 and 3; if the lane change safety coefficient is within the lane change safety interval 1, it is a low safety level, and a low safety signal 1 is generated; if the lane change safety coefficient is within the lane change safety interval 2, it is a medium safety level, and a medium safety signal 1 is generated; if the lane change safety coefficient is within the lane change safety interval 3, it is a low safety level, and a high safety signal 1 is generated;

[0053] When idling in the forward direction, the number of pedestrians, bicycles and animals is counted, and the values ​​are assigned to pedestrians, vehicles and animals respectively, which are matched with the corresponding preset weight factors, and the vehicle quiet safety coefficient is obtained through weighted calculation; it is compared with the preset vehicle quiet safety coefficient intervals, which are quiet safety interval one, quiet safety interval two and quiet safety interval three; if the vehicle quiet safety coefficient is within quiet safety interval one, it is a high safety level, and a high safety signal two is generated; if the vehicle quiet safety coefficient is within quiet safety interval two, it is a medium safety level, and a medium safety signal two is generated; if the vehicle quiet safety coefficient is within quiet safety interval three, it is a low safety level, and a low safety signal two is generated;

[0054] The obstacle environment behind the car is analyzed when the car is reversing or idling in reverse gear. The obstacle data includes distance, size, shape, brightness and position. The collected obstacle data is then analyzed to determine whether the obstacle position exists. Figure 4 Area 1 or Area 2 or Area 3 or Area 4 or Area 5; if the obstacle position exists Figure 4 In area 1, the obstacle position is assigned the value of domain 1; if the obstacle position exists Figure 4 In area 1, the obstacle position is assigned the value of domain 1; if the obstacle position exists Figure 4 When the obstacle position is in region 2 or 3, the obstacle position is assigned a domain value of 2; if the obstacle position exists Figure 4When it is area four or five, the obstacle position is assigned to the domain three value; the domain one value, domain two value and domain three value are collectively referred to as the area value; the data is substituted into the computer model, the distance is multiplied by a certain ratio to obtain the distance value, and it is displayed on the Y axis of the computer model; the size is multiplied by a ratio to obtain the size value, and it is displayed on the Z axis of the computer model; the brightness is multiplied by a column to obtain the brightness value, and it is displayed on the X axis of the computer model; the shape is obtained by obtaining the height, length and width of the obstacle, and the product is calculated and multiplied by a certain ratio to obtain the shape value, and it is displayed in the Z axis direction at the intersection of the distance value and the brightness value of the computer model; the area value is at the intersection of the distance value and the brightness value of the computer model, and the Y and X planes are circled with the Y axis direction as the radius to obtain the inverted safety diagram, and the model volume in the inverted safety diagram is calculated and used as the inverted safety coefficient; and it is compared with the preset inverted safety coefficient screening value. If the inverted safety coefficient is less than the preset inverted safety coefficient screening value, the obstacle will have no impact on the obstacle; if the inverted safety coefficient is greater than or equal to the preset inverted safety coefficient screening value, the obstacle will have an impact on the obstacle, and a warning signal will be generated;

[0055] The path analysis module is used to analyze the image transmission path. The specific process analysis is as follows:

[0056] The quality of the transmitted image is analyzed, and the PSNR, SSIM and VIF of the collected transmitted image are compared with the image quality specifications of the wide-angle camera to calculate the quality reduction; then the quality reduction is compared with the quality reduction range through the image program; the quality reduction range is divided into quality reduction range one, quality reduction range two and quality reduction range three; if the quality reduction belongs to quality reduction range one, it is used directly; if the quality reduction belongs to quality reduction range two, the quality of the transmitted image is improved, and the current quality reduction is calculated to see whether it exists in quality reduction range one. If so, it is used; if not, it is listed as quality reduction range three; if the quality reduction belongs to quality reduction range three, the transmitted image is divided into several time periods to analyze the image quality of a certain time period, and the image quality reduction of the time period is calculated, and it is compared with the preset quality reduction threshold. If the image quality reduction of the time period is less than the preset quality reduction threshold, it is retained; if the image quality reduction of the time period is greater than or equal to the preset quality reduction threshold, it is deleted;

[0057] Analyze the image transmission path and delay, and build dedicated image transmission channels including but not limited to vehicle-mounted dedicated optical fiber channels, vehicle-mounted network channels and vehicle-mounted wireless channels; then collect the resolution, refresh rate and response speed of each vehicle-mounted display screen, and assign them to resolution value, refresh value and response speed value respectively; substitute the resolution value into the X-axis, the refresh value into the Y-axis, and the response speed value into the Z-axis to obtain a calculation model named channel matching map, and calculate the model area in the channel matching map, and use its model area as the channel matching number; match them through preset channel matching number intervals, and the preset channel matching number intervals are matching number interval one, matching number interval two and matching number interval three; if the channel matching number is within matching number interval one, use the vehicle-mounted dedicated optical fiber channel; if the channel matching number is within matching number interval two, use the vehicle-mounted network channel; if the channel matching number is within matching number interval three, use the vehicle-mounted wireless channel; different vehicle-mounted display screens can perform channel transmission at the same time;

[0058] The execution display module is used to receive signals for execution display. The specific execution display process is as follows:

[0059] The signal generated by the receiving image analysis module is displayed. When a high-security signal 1 is received, a preset lane change icon is displayed slowly and with normal brightness flashing in a specific display area on the vehicle display screen; when a medium-security signal 1 is received, a preset high-security signal icon is displayed quickly and with high brightness flashing in a specific display area on the vehicle display screen; when a low-security signal 1 is received, a preset high-security signal icon is displayed quickly and with high brightness flashing in a specific display area on the vehicle display screen, and an early warning sound is issued at the same time; when a high-security signal 2 is received, a preset idle stationary icon is displayed slowly and with normal brightness flashing in a specific display area on the vehicle display screen; when a medium-security signal 2 is received, a preset idle stationary icon is displayed quickly and with high brightness flashing in a specific display area on the vehicle display screen; when a low-security signal 2 is received, a preset idle stationary icon is displayed quickly and with high brightness flashing in a specific display area on the vehicle display screen, and an early warning sound is issued at the same time; when an early warning signal is received, a preset reversing warning icon is displayed quickly and with high brightness flashing in a specific display area on the vehicle display screen, and an early warning sound is issued.

[0060] In addition, it will be understood by those skilled in the art that various aspects of the present invention may be illustrated and described by a number of patentable categories or situations, including any new and useful process, machine, product or combination of substances, or any new and useful improvements thereto. Accordingly, various aspects of the present invention may be performed entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.), or by a combination of hardware and software. The above hardware or software may be referred to as "data blocks", "modules", "engines", "units", "components" or "systems". In addition, various aspects of the present invention may be represented as a computer product located in one or more computer-readable media, which includes computer-readable program code.

[0061] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs. It should also be understood that terms such as those defined in common dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology and should not be interpreted in an idealized or extremely formal sense, unless explicitly defined as such herein.

[0062] The above is an explanation of the present invention and should not be considered as a limitation thereof. Although several exemplary embodiments of the present invention have been described, it will be readily appreciated by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined in the claims. It should be understood that the above is an explanation of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.

Claims

1. A high-definition camera system for streaming media and rear-view camera, comprising a camera correction module, an image analysis module and a path analysis module, characterized in that: The camera correction module corrects the camera image and adjusts the camera angle of the wide-angle camera, and controls the camera angle of the wide-angle camera by collecting the driving status of the car; the angle interval of the camera angle is the angle range from the initial point to the end point, the angle value is an arbitrary value in the angle interval, and then the effective camera distance is determined by the size of the angle value; the process of correcting the photographic image is: according to the specifications of the wide-angle camera and the preset area deformation correction straight line arc deformation quantity of the photographic image with different angle values, the photographic image with the same angle is averaged to obtain the arc average variable, and it is paired with the correction factor corresponding to the preset different angle values ​​and calculated to obtain the correction value, and correction is performed according to the correction value; The image analysis module is used to analyze the environmental conditions of the lane behind the car, the idling and the rear obstacle environmental conditions when the car is reversing or idling in reverse gear, and the specific process is: analyzing the environmental conditions of the lane behind the car to obtain the lane change safety factor, and comparing it with the preset lane change safety factor range to generate a low safety signal one, a medium safety signal one, or a high safety signal one; When the vehicle is idle and stationary in the forward direction, the vehicle static safety coefficient is analyzed and compared with the preset vehicle static safety coefficient range to generate a low safety signal 2, a medium safety signal 2 or a high safety signal 2; Analyze the obstacle environment behind the car when it is reversing or in reverse gear and idling. Use a wide-angle camera to perform statistical analysis on the obstacles to obtain a reverse safety coefficient, and compare it with a preset reverse safety coefficient screening value. If the reverse safety coefficient is greater than or equal to the preset reverse safety coefficient screening value, mark the obstacle as an influencing obstacle and generate a warning signal. The path analysis module analyzes the image transmission path to perform transmission in different channels.

2. The high-definition camera system for streaming media and rear-view camera according to claim 1, characterized in that: It also includes a video acquisition module and an execution display module; The camera acquisition module is used to capture the environment of the lane behind the car, the environment of the obstacles behind the car when reversing, and the angle of the rear wide-angle camera; It can identify and capture various elements, including other vehicles, pedestrians, bicycles and animals. It can also monitor obstacles behind the car when it is reversing, including trash cans, roadblocks, curbs and obstacles, as well as the situation of the reversing blind spot. It can also obtain the angle information of the rear wide-angle camera. The execution display module is used to receive signals for execution display.

3. The high-definition camera system for streaming media and rear-view camera according to claim 1, characterized in that: The camera correction module divides the camera area into: When the vehicle is moving or idling, the photographic image is divided into three areas, namely, the area directly behind the vehicle body, the area to the left rear of the vehicle body, and the area to the right rear of the vehicle body; when the vehicle is reversing or in reverse gear and idling, the photographic image is divided into five areas, namely, area one, area two, area three, area four, and area five.

4. The high-definition camera system for streaming media and rear-view camera according to claim 1, characterized in that: The specific process of the image analysis module analyzing the environmental conditions of the lane behind the car is as follows: When driving in the forward direction, the number of other vehicles in the lane behind the car is counted through the wide-angle camera, and then the position changes of other vehicles in different areas behind the car and the speed of the own vehicle in time intervals are collected through the wide-angle camera, and the average speed of other vehicles in the area is calculated. Then the speed of the own vehicle, the speed of other vehicles and the distance between the two vehicles are substituted into the coordinate model to obtain the lane change safety map to obtain the dispersion value in the enclosed area, which is used as the lane change safety coefficient, and the lane change safety coefficient is compared with the preset lane change safety coefficient intervals, which are the preset lane change safety coefficient intervals of safety interval one, safety interval two and safety interval three; if the lane change safety coefficient is within safety interval one, it is a low safety level and a low safety signal one is generated; if the lane change safety coefficient is within safety interval two, it is a medium safety level and a medium safety signal one is generated; if the lane change safety coefficient is within safety interval three, it is a low safety level and a high safety signal one is generated.

5. The high-definition camera system for streaming media and rear-view camera according to claim 4, characterized in that: The specific process of analyzing the idle speed by the image analysis module is as follows: When idling in the forward direction, the number of pedestrians, bicycles and animals is counted and assigned pedestrian values, vehicle values ​​and animal values ​​respectively, which are matched with the corresponding preset weight factors, and the vehicle quiet safety coefficient is obtained through weighted calculation; it is compared with the preset vehicle quiet safety coefficient intervals, which are quiet safety interval one, quiet safety interval two and quiet safety interval three; if the vehicle quiet safety coefficient is within quiet safety interval one, it is a high safety level, and high safety signal two is generated; if the vehicle quiet safety coefficient is within quiet safety interval two, it is a medium safety level, and medium safety signal two is generated; if the vehicle quiet safety coefficient is within quiet safety interval three, it is a low safety level, and low safety signal two is generated.

6. The high-definition camera system for streaming media and rear-view camera according to claim 5, characterized in that: The specific process of the image analysis module analyzing the rear obstacle environment when the car is reversing or in reverse gear and idling is as follows: Obstacles are statistically analyzed through a wide-angle camera to obtain obstacle data, including distance, size, shape, brightness and position; it is determined whether the obstacle position exists in the corresponding area; if the obstacle position exists in the corresponding area, the obstacle position is assigned a value, and the domain one value, domain two value and domain three value are collectively referred to as the area value; the data is substituted into a computer model to obtain an inverted safety diagram, and the model volume in the inverted safety diagram is obtained, which is used as the inverted safety coefficient; and it is compared with the preset inverted safety coefficient screening value. If the inverted safety coefficient is less than the preset inverted safety coefficient screening value, the obstacle is considered as a non-impact obstacle; If the inverse safety coefficient is greater than or equal to the preset inverse safety coefficient screening value, the obstacle will be affected and a warning signal will be generated.

7. The high-definition camera system for streaming media and rear-view camera according to claim 1, characterized in that: The path analysis module analyzes the quality of the transmitted image, and the specific process is as follows: The quality reduction is calculated by collecting the PSNR, SSIM and VIF of the transmitted image and comparing them with the image quality specifications of the wide-angle camera; the quality reduction is then compared with the quality reduction range through the image program; if the quality reduction belongs to the quality reduction range one, it is used directly; if the quality reduction belongs to the quality reduction range two, the quality of the transmitted image is improved, and the current quality reduction is calculated to see whether it exists in the quality reduction range one. If so, it is used; if not, it is listed as the quality reduction range three; if the quality reduction belongs to the quality reduction range three, the transmitted image is divided into several time periods to analyze the image quality of a certain time period, and the image quality reduction of the time period is obtained by calculation, and the image quality reduction of the image is compared with the preset quality reduction threshold. If the image quality reduction of the time period is less than the preset quality reduction threshold, it is retained; If the image quality reduction amount in the time period is greater than or equal to the preset quality reduction threshold, deletion is performed.

8. The high-definition camera system for streaming media and rear-view camera according to claim 7, characterized in that: The path analysis module analyzes the image transmission path and delay, and the specific process is as follows: By building a dedicated channel for image transmission, including a dedicated vehicle-mounted optical fiber channel, a vehicle-mounted network channel and a vehicle-mounted wireless channel; then the resolution, refresh rate and response speed of each vehicle-mounted display screen are collected and assigned values, which are resolution value, refresh value and response speed value respectively, and substituted into the calculation model to obtain the channel matching map, and the model area in the channel matching map is calculated, and the model area is used as the channel matching number; by presetting the channel matching number interval and matching it with the channel matching number, the preset channel matching number interval includes matching number interval one, matching number interval two and matching number interval three; if the channel matching number is within matching number interval one, the vehicle-mounted dedicated optical fiber channel is used; if the channel matching number is within matching number interval two, the vehicle-mounted network channel is used; if the channel matching number is within matching number interval three, the vehicle-mounted wireless channel is used; each vehicle-mounted display screen simultaneously performs channel transmission.

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