Driving safety prompting method, cabin area controller and commercial vehicle

Abstract

The invention provides a driving safety prompting method, a cabin area controller and a commercial vehicle, and the method comprises the steps: obtaining the road condition recognition information of a current vehicle, and the state monitoring information and vital sign information of a driver in the current vehicle, carrying out the road condition safety evaluation according to the road condition recognition information, and obtaining a road condition evaluation result, performing driving safety assessment according to the state monitoring information and the vital sign information to obtain a driving assessment result, generating road condition safety prompt information according to the road condition assessment result, and generating driving safety prompt information according to the driving assessment result, and controlling an external display device of the current vehicle to display the road condition safety prompt information and the driving safety prompt information. Therefore, warning is sent to road participants around the current vehicle through the external display device, so that the property participants around the current vehicle can find abnormal conditions in time and make accurate processing, and the road driving safety is improved.

Description

Technical Field

[0001] This application relates to the field of vehicle safety technology, and more specifically, to a driving safety prompting method, a cockpit domain controller, and a commercial vehicle. Background Technology

[0002] With the development of vehicle technology, driving safety has been upgraded from passive protection that relied on driver experience and vehicle structure to a comprehensive protection system built through technologies such as sensor fusion.

[0003] In related technologies, the driver's condition and vital signs are usually monitored to alert the driver. In addition, when a risk of loss of control of the vehicle is detected, simple measures such as hazard lights are usually taken to prevent accidents.

[0004] However, the above methods cannot accurately transmit the dangerous state of a vehicle to surrounding vehicles, making it impossible for them to distinguish between normal deceleration and the risk of loss of control, making it difficult for them to take countermeasures in advance, and increasing the risk of rear-end collisions and other traffic accidents. Summary of the Invention

[0005] In view of this, embodiments of this application provide a driving safety warning method, a cockpit domain controller, and a commercial vehicle to solve the problem that existing methods cannot accurately transmit the dangerous state of a vehicle to surrounding vehicles, making it difficult for surrounding vehicles to distinguish between normal deceleration and loss of control risks, making it difficult to take countermeasures in advance, and increasing the risk of rear-end collisions and other traffic accidents.

[0006] In a first aspect, embodiments of this application provide a driving safety alert method, including: Obtain the current vehicle's road condition identification information, the driver's status monitoring information and vital signs information inside the current vehicle; Based on the road condition identification information, a road condition safety assessment is performed to obtain the road condition assessment result; A driving safety assessment is performed based on the status monitoring information and the vital signs information to obtain the driving assessment result. Based on the road condition assessment results, generate road condition safety alert information, and based on the driving assessment results, generate driving safety alert information; Control the external display device of the current vehicle to display the road safety warning information and the driving safety warning information.

[0007] In an optional implementation, the step of performing a road condition safety assessment based on the road condition identification information to obtain a road condition assessment result includes: A road condition safety assessment is performed based on the road condition recognition information and the current vehicle speed to obtain the road condition assessment result.

[0008] In an optional implementation, the road condition assessment result includes: the type of obstacle and the distance between the current vehicle and the obstacle; the process of performing a road condition safety assessment based on the road condition identification information and the current vehicle's speed to obtain the road condition assessment result includes: Based on the type of obstacle, the distance between the current vehicle and the obstacle, and the speed of the current vehicle, a road condition score is calculated using a preset road condition score model. The road condition assessment result includes the road condition score.

[0009] In an optional implementation, the step of calculating a road condition score based on the type of obstacle, the distance between the current vehicle and the obstacle, and the current vehicle's speed, using a preset road condition score model, includes: Based on the type of obstacle, obtain the basic hazard weight; The distance hazard factor is obtained based on the current distance between the vehicle and the obstacle; Based on the current vehicle speed, obtain the speed hazard factor; Based on the basic hazard weight, the distance hazard coefficient, and the speed hazard coefficient, the road condition score is calculated using the road condition score model.

[0010] In an optional implementation, generating road safety alert information based on the road condition assessment results includes: Based on the road condition score, a target score interval is determined from multiple preset score intervals; The road safety warning information is generated based on the prompt information corresponding to the target score range and the type of obstacle.

[0011] In an optional implementation, the step of performing a driving safety assessment based on the status monitoring information and the vital signs information to obtain a driving assessment result includes: Based on the status monitoring information, a target status assessment standard is determined from multiple preset status assessment standards; Based on the vital signs information, the target vital signs assessment standard is selected from multiple preset vital signs assessment standards; The driving assessment result is obtained based on the target state hazard level corresponding to the target state assessment standard and the target vital signs hazard level corresponding to the target vital signs assessment standard.

[0012] In an optional implementation, generating driving safety alert information based on the driving assessment results includes: Based on the target state hazard level and the preset correspondence between state hazard levels and state safety warning information, determine the first warning information corresponding to the target state hazard level; Based on the target vital sign danger level and the preset correspondence between vital sign danger level and vital sign safety warning information, determine the second warning information corresponding to the target vital sign danger level; The first and second prompt messages are identified as driving safety prompt messages.

[0013] In an optional implementation, the external display device controlling the current vehicle displays the road safety warning information and the driving safety warning information, including: Based on the preset display priorities corresponding to the road safety warning information and the driving safety warning information, the external display device is controlled to display the road safety warning information and the driving safety warning information respectively using the display styles corresponding to the road safety warning information and the driving safety warning information.

[0014] Secondly, embodiments of this application also provide a cockpit domain controller, including: a processor, a memory, and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor communicates with the memory via the bus, and the processor executes the machine-readable instructions to perform the method described in any of the first aspects.

[0015] Thirdly, embodiments of this application also provide a commercial vehicle, including: a current vehicle body, and a cockpit domain controller disposed on the current vehicle body, the cockpit domain controller being used to execute the method described in any of the first aspects.

[0016] This application provides a driving safety warning method, a cockpit domain controller, and a commercial vehicle. The method includes: acquiring road condition identification information, driver status monitoring information, and vital sign information of the current vehicle; performing a road condition safety assessment based on the road condition identification information to obtain a road condition assessment result; performing a driving safety assessment based on the status monitoring information and vital sign information to obtain a driving assessment result; generating road condition safety warning information based on the road condition assessment result; generating driving safety warning information based on the driving assessment result; and controlling the external display device of the current vehicle to display the road condition safety warning information and the driving safety warning information. This provides warnings to road users around the current vehicle through the external display device, enabling them to promptly detect abnormal situations and take accurate action, thereby improving road driving safety. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 Flowchart of the driving safety reminder method provided in the embodiments of this application Figure 1 ; Figure 2 Flowchart of the driving safety reminder method provided in the embodiments of this application Figure 2 ; Figure 3 Flowchart of the driving safety reminder method provided in the embodiments of this application Figure 3 ; Figure 4 Flowchart of the driving safety reminder method provided in the embodiments of this application Figure 4 ; Figure 5 This is an overall architecture diagram of the driving safety prompt method provided in the embodiments of this application; Figure 6 This is a schematic diagram of the driving safety warning device provided in the embodiments of this application; Figure 7 This is a schematic diagram of the cockpit domain controller provided in an embodiment of this application; Figure 8 This is a schematic diagram of the structure of a commercial vehicle provided in an embodiment of this application. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0020] Since hazard lights are used to warn drivers when a vehicle is decelerating normally, and the system currently relies on driver status and vital signs to detect a risk of loss of control, other vehicles cannot distinguish between normal deceleration and the risk of loss of control, making it difficult for them to take preventative measures and increasing the risk of rear-end collisions and other traffic accidents.

[0021] Based on this, this application conducts driving safety assessments based on driver status monitoring information and driver vital signs information, conducts road condition safety assessments based on road condition identification information, and generates corresponding prompt information. The prompt information is then sent to road participants (current vehicles, pedestrians, etc.) around the current vehicle through an external display device on the current vehicle, so that participants around the current vehicle can promptly detect abnormal situations and take accurate actions, thereby improving road driving safety.

[0022] Figure 1 Flowchart of the driving safety reminder method provided in the embodiments of this application Figure 1 In this embodiment, the execution entity can be the cockpit domain controller installed on the current vehicle body.

[0023] like Figure 1 As shown, the method may include: S101. Obtain the current vehicle's road condition identification information, the current vehicle's driver status monitoring information, and vital signs information.

[0024] The current vehicle can be the currently driven vehicle (i.e., the self-driving vehicle). The road conditions within the preset area where the current vehicle is located are identified to obtain road condition identification information. The preset area where the current vehicle is located can be, for example, the area in front of the current vehicle. The road condition identification information is used to indicate the road conditions within the preset area where the current vehicle is located, such as potholes, water accumulation, road damage, cones, fallen rocks, pedestrians, animals, and vehicles, which respectively indicate that there are obstacles such as potholes, water accumulation, damaged road surface, cones, fallen rocks, pedestrians, animals, and vehicles within the preset area where the current vehicle is located.

[0025] The system monitors the driver's status and vital signs within the vehicle, obtaining the driver's status monitoring information and vital signs information. The status monitoring information indicates the driver's condition, such as yawning, looking around, smoking, making a phone call, being distracted (e.g., closing eyes, looking down), obstructing the camera (indicating the driver is obstructing the camera), and leaving the post. The vital signs information can include body temperature, heart rate, respiratory rate, blood pressure, blood sample, and blood oxygen.

[0026] In some embodiments, the driver status monitoring system uses a camera in the cockpit to capture and process driver images, identify driver status monitoring information, and send it to the cockpit domain controller. The driver status monitoring system can also send the driver status monitoring information to the cockpit domain controller via broadcast communication; that is, the cockpit domain controller receives the driver status monitoring information via broadcast communication. During the current vehicle operation (i.e., vehicle speed greater than 0), the status monitoring information can be broadcast every preset interval (e.g., 1 second), and carried bit by bit.

[0027] In some embodiments, the vital signs monitoring system uses sensors or smart wearable devices to collect the driver's vital signs information and transmits it to the cockpit domain controller via Ethernet. The sensors can be cameras, heart rate sensors, temperature sensors, etc., located in the cockpit, and can be mounted on the steering wheel, seat, or seatbelt. The smart wearable devices can be smart bracelets, smartwatches, etc.

[0028] In some embodiments, the intelligent driving system uses a camera on an external display device mounted on the vehicle body to capture images of a preset area where the vehicle is located, performs image recognition to obtain road condition recognition information, and sends the road condition recognition information to the cockpit domain controller via Ethernet.

[0029] S102. Conduct a road condition safety assessment based on the road condition identification information to obtain the road condition assessment result.

[0030] Based on road condition recognition information, a safety assessment is performed on the road conditions in the preset area where the vehicle is currently located, and a road condition assessment result is obtained. The road condition assessment result is used to indicate the degree of danger of the road conditions.

[0031] In some embodiments, a pre-trained road condition hazard level assessment model or a large language model is used to process the road condition identification information to obtain the road condition assessment result.

[0032] S103. Conduct a driving safety assessment based on the condition monitoring information and vital sign information to obtain the driving assessment results.

[0033] Based on condition monitoring information and vital sign information, a safety assessment is conducted on the driver to obtain a driving assessment result, which is used to indicate the degree of danger to the driver.

[0034] In some embodiments, a pre-trained driver hazard level assessment model or a large language model is used to process state monitoring information and vital sign information to obtain driving assessment results.

[0035] S104. Generate road condition safety alerts based on road condition assessment results, and generate driving safety alerts based on driving assessment results.

[0036] There is a correspondence between road condition assessment results and road safety warning information. Based on this correspondence, road safety warning information corresponding to the road condition assessment results can be generated, such as "There is a road obstacle 100m ahead" or "There is a deep pit 200m ahead, please avoid it in advance."

[0037] There is a correspondence between driving assessment results and driving safety tips. Based on this correspondence, driving safety tips corresponding to the driving assessment results can be generated, such as: the driver is distracted and should avoid the vehicle; the driver is on the phone and should maintain a safe distance; the driver is at risk of losing control and should seek help.

[0038] In some embodiments, a large language model is used to generate road safety alerts and driving safety alerts based on road condition assessment results and driving assessment results, respectively.

[0039] S105. Control the external display device of the current vehicle to display road condition safety information and driving safety information.

[0040] The external display device of the current vehicle can be an external display screen (LED display screen) located on the vehicle body, such as a display screen located at the rear, roof, or side of the vehicle. By controlling the external display device of the current vehicle to display road safety warning information and driving safety warning information, it is easier for surrounding vehicles and pedestrians to notice specific abnormalities in a timely manner and take accurate action, thereby improving road driving safety.

[0041] In some embodiments, the cockpit domain controller sends road safety alerts and driving safety alerts to an external display screen via Ethernet. Surrounding vehicles, pedestrians, and other entities can then obtain information about driver and road abnormalities from the external display screen and take timely measures to avoid danger.

[0042] In an optional implementation, step S102 above, which involves performing a road condition safety assessment based on the road condition identification information to obtain a road condition assessment result, may include: A road condition safety assessment is conducted based on road condition recognition information and the current vehicle speed to obtain the road condition assessment result.

[0043] In this context, given a defined road condition identification information, a higher vehicle speed corresponds to a higher road condition hazard level, while a lower vehicle speed corresponds to a lower road condition hazard level. Therefore, a comprehensive road condition assessment result can be determined by combining road condition identification information and the vehicle's current speed. This road condition assessment result is then used to determine the degree of road condition hazard.

[0044] In an optional implementation, the road condition assessment result includes: the type of obstacle and the distance between the current vehicle and the obstacle; step S201 above, which performs a road condition safety assessment based on the road condition identification information and the current vehicle speed to obtain the road condition assessment result, may include: Based on the type of obstacle, the distance between the current vehicle and the obstacle, and the current speed of the vehicle, a road condition score is calculated using a preset road condition score model.

[0045] Obstacles can include potholes, puddles, damaged road surfaces, traffic cones, falling rocks, pedestrians, animals, vehicles, etc.

[0046] The system obtains the distance between the current vehicle and obstacles, and calculates a road condition score based on the obstacle type, the distance between the vehicle and the obstacle, and the vehicle's current speed, using a pre-defined road condition score model. The road condition assessment result includes the road condition score, which indicates the level of road condition hazard. A higher road condition score indicates a higher level of road condition hazard, and a lower road condition score indicates a lower level of road condition hazard. This quantifies the road condition assessment results and improves their accuracy.

[0047] It should be noted that the preset road condition score model can be a model trained using machine learning algorithms or a large language model; this embodiment does not impose any particular limitation on it.

[0048] Figure 2 Flowchart of the driving safety reminder method provided in the embodiments of this application Figure 2 ,like Figure 2 As shown, in an optional implementation, a road condition score is calculated based on the type of obstacle, the distance between the current vehicle and the obstacle, and the current vehicle speed, using a preset road condition score model. This may include: S201. Obtain the basic hazard weight based on the type of obstacle.

[0049] Among them, the basic hazard weight is used to reflect the degree of danger of the obstacle itself. Different obstacles have different basic hazard weights, and there is a corresponding relationship between the obstacle type and the basic hazard weight.

[0050] Table 1 is a schematic table of the basic hazard weights of obstacles. As shown in Table 1, the basic hazard weight for pedestrians and animals is f=0.9, the basic hazard weight for vehicles is f=0.8, the basic hazard weight for falling rocks is f=0.7, the basic hazard weight for cones is f=0.5, the basic hazard weight for potholes and damaged road surfaces is f=0.4, and the basic hazard weight for standing water is f=0.3.

[0051] Table 1

[0052] S202. Obtain the distance hazard factor based on the current distance between the vehicle and the obstacle.

[0053] The distance hazard factor reflects the degree of danger corresponding to a distance, and is expressed as:

[0054] Where d represents the current distance between the vehicle and the obstacle. The smaller d is, the closer the distance danger coefficient is to 1 (maximum danger). The larger d is, the closer the distance danger coefficient is to 0 (minimum danger). 100 represents the decay constant (controlling the rate at which the danger coefficient decreases with distance).

[0055] When d=0 (the obstacle is right in front of the car), the distance hazard factor is the highest (100%) because the distance is extremely close; when d=100 meters, the distance hazard factor decreases to about 36.8%, which means that the danger level at 100 meters is 36.8% of that at 0 meters; when d→∞ (the obstacle is extremely far away), the distance hazard factor approaches 0, indicating that distant obstacles have almost no impact on safety.

[0056] It should be noted that the greater the distance, the faster the danger factor decreases (which aligns with human driving intuition). When d = 50 meters, ≈0.6065e 0.5 ≈ 0.6065 (still retaining a 60.7% hazard weight), when d = 200 meters: ≈0.1353e 2≈0.1353 (only 13.5% of the danger weight remains).

[0057] Additionally, 100 is an adjustable parameter. If a smoother or more dramatic decay is needed, 100 can be adjusted to 50 or 200. Changing it to 50 will result in faster decay, while changing it to 200 will result in slower decay.

[0058] S203. Obtain the speed hazard factor based on the current vehicle speed.

[0059] The speed hazard factor reflects the degree of danger corresponding to a given speed. The speed hazard factor, speed_factor, is expressed as:

[0060] Among them, the higher the current vehicle speed s (unit: km / h), the closer the speed hazard coefficient is to 1 (hazard amplification); the lower the current vehicle speed s, the closer the speed hazard coefficient is to 0 (hazard attenuation). 0.1 represents the steepness of the control curve (the larger the value, the sharper the transition). 80 is the center point (i.e., the speed point where the function changes most drastically). When s = 80 km / h, the speed hazard coefficient is 0.5, indicating moderate danger; when s > 80 km / h (high speed), the faster the speed, the closer the coefficient is to 1 (hazard maximization); when s < 80 km / h (low speed), the slower the speed, the closer the coefficient is to 0 (hazard minimization).

[0061] It should be noted that the effect of speed is not linear, but rather follows an S-shaped curve, which aligns with human intuition about risk (gradual changes at low speeds and heightened sensitivity at high speeds), with the most significant changes occurring in the sensitive range of 60–100 km / h.

[0062] Table 2 is a schematic table of speed and speed hazard factor. As shown in Table 2, when s=60 km / h, the speed hazard factor is 0.12; when s=80 km / h, the speed hazard factor is 0.5; when s=100 km / h, the speed hazard factor is 0.88; and when s=120 km / h, the speed hazard factor is 0.98.

[0063] Table 2

[0064] In other words, at high speeds (s>100 km / h): the coefficient is close to 1, and the risk weight is amplified; at medium speeds (s=80 km / h): the coefficient is 0.5, which serves as a benchmark reference; at low speeds (<60 km / h): the coefficient approaches 0, and the risk can be ignored.

[0065] It should be noted that if a steeper or gentler transition is needed, the adjustable parameters are 0.1 and 80. For example, change 80 to 70 or 90 to match different scenarios.

[0066] S204. Based on the basic hazard weight, distance hazard coefficient, and speed hazard coefficient, the road condition score is calculated using the road condition score model.

[0067] The road condition score model is represented as follows:

[0068] In other words, the base weight, distance hazard coefficient, and speed hazard coefficient are multiplied together and then multiplied by 100 to map the road condition score (danger_score) to an intuitive range of 0–100. The higher the road condition score, the higher the degree of road hazard.

[0069] It should be noted that for the above road condition score model, the effects of speed and distance are non-linear, which is consistent with human driving intuition. The road condition score is always controlled within the range of 0-100. The sensitivity is highest when the speed is 80-120km / h and the sensitivity is highest when the distance is 0-50m. The model sensitivity can be optimized by adjusting the basic hazard weights and the shape of the function curve according to actual needs.

[0070] In some embodiments, in emergency braking scenarios (d<50 meters), the road condition score is >0.6, indicating a high level of danger; in medium-to-long-range warning scenarios (d≈100 meters), the road condition score is ≈0.37, indicating a medium-level warning; and in scenarios involving distant objects (d>200 meters), the road condition score is <0.15, indicating that the warning can be ignored or only a prompt can be given.

[0071] In an optional implementation, step S104 above, generating road safety warning information based on the road condition assessment results, may include: Based on the road condition score, the target score interval is determined from multiple preset score intervals; Based on the prompts corresponding to the target score range and the type of obstacle, generate road safety prompts.

[0072] The preset score intervals correspond to prompt information. The target score interval where the road condition score is located is determined from multiple preset score intervals. Based on the prompt information corresponding to the target score interval and the type of obstacle, road condition safety prompt information is generated. The road condition safety prompt information includes: the prompt information corresponding to the target score interval and the type of obstacle.

[0073] It should be noted that the prompt information corresponding to the preset score range may include: hazard type, location reference, and suggested measures. The hazard type indicates the type of hazard of the obstacle (such as accident type), the location reference is used to indicate the relative position of the obstacle and the current vehicle (including distance and orientation), and the suggested measures are driving suggestions under the hazard type and location reference (such as suggesting changing lanes to the right).

[0074] Table 3 is a schematic table of road safety warning information. As shown in Table 3, each score range corresponds to a hazard level, color code, and road safety warning information. The road safety warning information includes obstacle category (type of obstacle) and warning information (warning information corresponding to the score range). The hazard level of the road safety warning information is divided into three levels: Level III (highest) is displayed in red font, Level II (second highest) is displayed in orange font, and Level I (lowest) is displayed in red font.

[0075] Table 3

[0076] In some embodiments, the template for road safety warning messages is: [Hazard Type] + [Location Reference] + [Obstacle Type] + [Suggested Actions]. For example, if the obstacle type is a vehicle, the current vehicle speed is 120 km / h, the distance between the current vehicle and the obstacle is 50 m, and the road condition score is 84.5, then the road safety warning message could be: "There is a stationary accident vehicle in the left lane 50 meters ahead. It is recommended to change lanes to the right."

[0077] In addition, the corresponding color code can be determined from Table 3. The color code is used to indicate the display color of road safety warning information. That is, the external display device of the current vehicle is controlled to display "There is a stationary accident vehicle in the left lane 50 meters ahead. It is recommended to change lanes to the right" in orange.

[0078] Figure 3 Flowchart of the driving safety reminder method provided in the embodiments of this application Figure 3 ,like Figure 3 As shown, in an optional implementation, step S103 above, which involves performing a driving safety assessment based on status monitoring information and vital sign information to obtain a driving assessment result, may include: S301. Based on the condition monitoring information, determine the target condition assessment standard from multiple preset condition assessment standards.

[0079] Each preset state assessment standard corresponds to a state hazard level, which indicates the degree of driving danger corresponding to the driver's state.

[0080] Based on the condition monitoring information, a target condition assessment standard that matches the condition monitoring information is determined from multiple preset condition assessment standards, and then the target condition hazard level corresponding to the target condition assessment standard is determined.

[0081] Table 4 is a schematic diagram of the status hazard levels. As shown in Table 4, the status hazard levels include normal status, slight distraction, slight fatigue, severe distraction, severe fatigue, dangerous behavior, and off-duty status while driving. The corresponding assessment criteria are as follows: no abnormal status reported within 10 seconds, less than 2 times looking left and right within 10 seconds, less than 3 times yawning / closing eyes / looking down within 10 seconds, more than 2 times looking left and right within 10 seconds, more than 3 times yawning / closing eyes / looking down within 10 seconds, smoking / making a phone call for more than 5 seconds within 10 seconds, and no driver detected within 10 seconds.

[0082] Table 4

[0083] S302. Based on vital sign information, select the target vital sign assessment standard from multiple preset vital sign assessment standards.

[0084] Each preset vital sign assessment standard corresponds to a vital sign danger level, which is used to indicate the degree of driving danger corresponding to the driver's vital signs.

[0085] Based on vital sign information, a target vital sign assessment standard matching the vital sign information is determined from multiple preset vital sign assessment standards, and then the target vital sign risk level corresponding to the target vital sign assessment standard is determined.

[0086] Table 5 is a schematic table of vital sign risk levels. As shown in Table 5, the vital sign risk levels include normal, warning, high risk, emergency, and status classification. The corresponding vital sign assessment criteria are all parameters within ±10% of baseline, two parameters abnormal for more than 30 seconds, blood pressure >180 / 110 (meaning systolic pressure greater than 180 and diastolic pressure greater than 110) + arrhythmia, and apnea + blood oxygen <85%.

[0087] Table 5

[0088] S303. Obtain driving assessment results based on the target state hazard level corresponding to the target state assessment standard and the target vital signs hazard level corresponding to the target vital signs assessment standard.

[0089] The driving assessment results include: the target's state hazard level and the target's vital signs hazard level.

[0090] The higher the danger level of the target's state, the higher the driving danger level; the higher the danger level of the target's vital signs, the higher the driving danger level.

[0091] Figure 4 Flowchart of the driving safety reminder method provided in the embodiments of this application Figure 4 ,like Figure 4 As shown, in an optional implementation, step S104 above, generating driving safety warning information based on the driving assessment results, may include: S401. Based on the target state hazard level and the preset correspondence between the state hazard level and the state safety warning information, determine the first warning information corresponding to the target state hazard level.

[0092] Query the pre-defined correspondence between state hazard levels and state safety warning information, and determine the first warning information corresponding to the target state hazard level, wherein the first warning information is the state safety warning information corresponding to the target state hazard level.

[0093] Table 6 is a diagram of safety warning information for different hazard levels. As shown in Table 6, each hazard level corresponds to a hazard severity level, color code, and warning information. The hazard severity level of the safety warning information is divided into three levels: Level III (highest) is displayed in red font, Level II (second highest) is displayed in orange font, and Level I (lowest) is displayed in red font.

[0094] Table 6

[0095] S402. Based on the target's vital signs hazard level and the preset correspondence between vital signs hazard levels and vital signs safety warning information, determine the second warning information corresponding to the target's vital signs hazard level.

[0096] Query the pre-defined correspondence between vital sign danger levels and vital sign safety warning information, and determine the second warning information corresponding to the target vital sign danger level. The second warning information is the vital sign safety warning information corresponding to the target vital sign danger level.

[0097] Table 7 is a schematic table of safety warning information for vital sign hazard levels. As shown in Table 7, each vital sign hazard level corresponds to a hazard severity level, color code, and warning information. The hazard severity level of the vital sign warning information is divided into three levels: Level III (highest) is displayed in red font, Level II (second highest) is displayed in orange font, and Level I (lowest) is displayed in red font.

[0098] Table 7

[0099] S403. Determine that the first and second prompt messages are driving safety prompt messages.

[0100] The driving safety information includes: first information and second information.

[0101] In some embodiments, the external display device of the current vehicle may be controlled to display a first prompt message in a corresponding color according to the color code corresponding to the target state hazard level, and the external display device of the current vehicle may be controlled to display a second prompt message in a corresponding color according to the color code corresponding to the target generated vital sign hazard level.

[0102] In an optional implementation, step S105, controlling the external display device of the current vehicle to display road safety warning information and driving safety warning information, may include: Based on the preset display priorities corresponding to road safety alerts and driving safety alerts, the external display devices are controlled to display road safety alerts and driving safety alerts using the display styles corresponding to road safety alerts and driving safety alerts, respectively.

[0103] The driving safety information includes: first information and second information. The display priority of the second information is greater than that of the road condition safety information, which is greater than that of the first information. That is, vital sign safety information > road condition safety information > status safety information.

[0104] The display style of road safety warning information may include at least one of the following: display font, font size, and display color. The display style of driving safety warning information may include at least one of the following: display font, font size, and display color.

[0105] Based on preset display priorities, the external display device is controlled to sequentially display road safety warnings and driving safety warnings using the display styles corresponding to road safety warnings and driving safety warnings. For example, higher-priority information is displayed first and for a preset duration; lower-priority information is not displayed until the higher-priority information is de-displayed; or, higher-priority information is highlighted while lower-priority information is displayed normally. This embodiment does not impose any particular limitations on this.

[0106] In some embodiments, the display color corresponding to the road safety warning information, the display color corresponding to the first warning information, and the display color corresponding to the second warning information are obtained. According to the preset display priority, the display color corresponding to the road safety warning information, the display color corresponding to the first warning information, and the display color corresponding to the second warning information are used to control the external display device to display the road safety warning information, the first warning information, and the second warning information respectively.

[0107] In some embodiments, information with a high degree of danger is displayed first. Information with the same degree of danger can be displayed in order of priority, such as displaying information with higher priority first, or being arranged and presented in order of priority on the same display interface.

[0108] In summary, the multi-dimensional hazard classification system effectively prevents accidents, improves the timeliness of rescue, and enhances road safety by using the vehicle's display screen to convey clear hazard information about various dimensions (driver status, driver vital signs, road conditions ahead, etc.).

[0109] Figure 5 The overall architecture diagram of the driving safety reminder method provided in the embodiments of this application is as follows: Figure 5 As shown, the cockpit domain controller takes the driver's status monitoring information, vital signs information, and road condition recognition information as inputs, processes them accordingly, generates safety prompts (including the aforementioned road condition safety prompts and driving safety prompts), and controls the displays on the roof, rear, and sides of the vehicle to display them so that surrounding drivers can react accordingly.

[0110] Figure 6 This is a schematic diagram of the driving safety reminder device provided in the embodiments of this application. The device can be integrated into the cockpit domain controller.

[0111] like Figure 6 As shown, the device may include: The acquisition module 501 is used to acquire the current vehicle's road condition recognition information, the current vehicle's driver status monitoring information, and vital sign information; Processing module 502 is used to perform road condition safety assessment based on road condition identification information and obtain road condition assessment results; The processing module 502 is also used to perform a driving safety assessment based on the status monitoring information and vital sign information, and obtain the driving assessment result; The processing module 502 is also used to generate road condition safety prompt information based on the road condition assessment results, and to generate driving safety prompt information based on the driving assessment results; The control module 503 is used to control the external display device of the current vehicle to display road safety warning information and driving safety warning information.

[0112] In an optional implementation, the processing module 502 is specifically used for: A road condition safety assessment is conducted based on road condition recognition information and the current vehicle speed to obtain the road condition assessment result.

[0113] In an optional implementation, the road condition assessment results include: the type of obstacle and the distance between the current vehicle and the obstacle; the processing module 502 is specifically used for: Based on the type of obstacle, the distance between the current vehicle and the obstacle, and the current speed of the vehicle, a preset road condition score model is used to calculate the road condition score. The road condition assessment results include the road condition score.

[0114] In an optional implementation, the processing module 502 is specifically used for: Based on the type of obstacle, obtain the basic hazard weight; The distance hazard factor is obtained based on the current distance between the vehicle and the obstacle; Obtain the speed hazard factor based on the current vehicle speed; Based on the basic hazard weight, distance hazard coefficient, and speed hazard coefficient, a road condition score model is used to calculate the road condition score.

[0115] In an optional implementation, the processing module 502 is specifically used for: Based on the road condition score, the target score interval is determined from multiple preset score intervals; Based on the prompts corresponding to the target score range and the type of obstacle, generate road safety prompts.

[0116] In an optional implementation, the processing module 502 is specifically used for: Based on the status monitoring information, the target status assessment standard is determined from multiple preset status assessment standards; Based on vital sign information, select the target vital sign assessment standard from multiple preset vital sign assessment standards; The driving assessment results are obtained based on the target state hazard level corresponding to the target state assessment standard and the target vital signs hazard level corresponding to the target vital signs assessment standard.

[0117] In an optional implementation, the processing module 502 is specifically used for: Based on the target state hazard level and the preset correspondence between the state hazard level and the state safety warning information, determine the first warning information corresponding to the target state hazard level; Based on the target's vital signs danger level and the pre-defined correspondence between vital signs danger levels and vital signs safety warning information, determine the second warning information corresponding to the target's vital signs danger level; The first and second prompt messages are confirmed as driving safety prompt messages.

[0118] In an optional implementation, the control module 503 is specifically used for: Based on the preset display priorities corresponding to road safety alerts and driving safety alerts, the external display devices are controlled to display road safety alerts and driving safety alerts using the display styles corresponding to road safety alerts and driving safety alerts, respectively.

[0119] The processing flow of each module in the device and the interaction flow between each module can be referred to the relevant descriptions in the above method embodiments, and will not be detailed here.

[0120] Figure 7 This is a schematic diagram of the cockpit domain controller provided in the embodiments of this application, as shown below. Figure 7As shown, the cockpit domain controller includes a processor 601, a memory 602, and a bus 603. The memory 602 stores machine-readable instructions that can be executed by the processor 601. When the cockpit domain controller is running, the processor 601 communicates with the memory 602 through the bus 603. The processor 601 executes the machine-readable instructions to perform the above-mentioned method.

[0121] Figure 8 This is a schematic diagram of the structure of a commercial vehicle provided in an embodiment of this application, such as... Figure 8 As shown, the commercial vehicle includes: a vehicle body 701, and a cockpit domain controller 702 disposed on the vehicle body, the cockpit domain controller 702 being used to perform the above method.

[0122] This application also provides a computer-readable storage medium storing a computer program, which is executed by a processor to perform the above-described method.

[0123] In this embodiment, the computer program, when run by the processor, can also execute other machine-readable instructions to perform other methods as described in the embodiments. For details on the specific execution steps and principles, please refer to the description of the embodiments, which will not be repeated here.

[0124] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some communication interfaces; indirect couplings or communication connections between devices or units may be electrical, mechanical, or other forms.

[0125] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0126] In addition, the functional units in the embodiments provided in this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0127] If the aforementioned functions are implemented as 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 this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0128] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. In addition, the terms "first", "second", "third", etc. are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0129] Finally, it should be noted that the above-described embodiments are merely specific implementations of this application, used to illustrate the technical solutions of this application, and not to limit them. The protection scope of this application is not limited thereto. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features, within the scope of the technology disclosed in this application; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application. All should be covered within the protection scope of this application. Therefore, the protection scope of this application should be determined by the protection scope of the claims.

Claims

1. A method for providing driving safety reminders, characterized in that, include: Obtain the current vehicle's road condition identification information, the driver's status monitoring information and vital signs information inside the current vehicle; Based on the road condition identification information, a road condition safety assessment is performed to obtain the road condition assessment result; A driving safety assessment is performed based on the status monitoring information and the vital signs information to obtain the driving assessment result. Based on the road condition assessment results, generate road condition safety alert information, and based on the driving assessment results, generate driving safety alert information; Control the external display device of the current vehicle to display the road safety warning information and the driving safety warning information.

2. The method according to claim 1, characterized in that, The step of performing a road condition safety assessment based on the road condition identification information to obtain a road condition assessment result includes: A road condition safety assessment is performed based on the road condition recognition information and the current vehicle speed to obtain the road condition assessment result.

3. The method according to claim 2, characterized in that, The road condition assessment result includes: the type of obstacle and the distance between the current vehicle and the obstacle; the road condition safety assessment based on the road condition identification information and the current vehicle's speed, to obtain the road condition assessment result, includes: Based on the type of obstacle, the distance between the current vehicle and the obstacle, and the speed of the current vehicle, a road condition score is calculated using a preset road condition score model. The road condition assessment result includes the road condition score.

4. The method according to claim 3, characterized in that, The step of calculating a road condition score based on the type of obstacle, the distance between the current vehicle and the obstacle, and the current vehicle's speed, using a preset road condition score model, includes: Based on the type of obstacle, obtain the basic hazard weight; The distance hazard factor is obtained based on the current distance between the vehicle and the obstacle; Based on the current vehicle speed, obtain the speed hazard factor; Based on the basic hazard weight, the distance hazard coefficient, and the speed hazard coefficient, the road condition score is calculated using the road condition score model.

5. The method according to claim 3, characterized in that, The step of generating road safety alert information based on the road condition assessment results includes: Based on the road condition score, a target score interval is determined from multiple preset score intervals; The road safety warning information is generated based on the prompt information corresponding to the target score range and the type of obstacle.

6. The method according to claim 1, characterized in that, The step of conducting a driving safety assessment based on the status monitoring information and the vital signs information to obtain a driving assessment result includes: Based on the status monitoring information, a target status assessment standard is determined from multiple preset status assessment standards; Based on the vital signs information, the target vital signs assessment standard is selected from multiple preset vital signs assessment standards; The driving assessment result is obtained based on the target state hazard level corresponding to the target state assessment standard and the target vital signs hazard level corresponding to the target vital signs assessment standard.

7. The method according to claim 6, characterized in that, The step of generating driving safety alert information based on the driving assessment results includes: Based on the target state hazard level and the preset correspondence between state hazard levels and state safety warning information, determine the first warning information corresponding to the target state hazard level; Based on the target vital sign danger level and the preset correspondence between vital sign danger level and vital sign safety warning information, determine the second warning information corresponding to the target vital sign danger level; The first and second prompt messages are identified as driving safety prompt messages.

8. The method according to any one of claims 1-7, characterized in that, The external display device controlling the current vehicle displays the road safety warning information and the driving safety warning information, including: Based on the preset display priorities corresponding to the road safety warning information and the driving safety warning information, the external display device is controlled to display the road safety warning information and the driving safety warning information respectively using the display styles corresponding to the road safety warning information and the driving safety warning information.

9. A cockpit domain controller, characterized in that, include: A processor, a memory, and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the cockpit domain controller is running, the processor communicates with the memory via the bus, and the processor executes the machine-readable instructions to perform the method of any one of claims 1 to 8.

10. A commercial vehicle, characterized in that, include: The vehicle body, and a cockpit domain controller disposed on the vehicle body, the cockpit domain controller being configured to perform the method according to any one of claims 1-8.

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