System and method for guaranteeing safe driving of heavy truck at night

Abstract

The invention provides a system for guaranteeing safe driving of a heavy truck at night, and the system comprises a scene analysis module which is used for determining a current scene condition according to environment information transmitted by a sensor assembly and a high-definition map after the truck is started; the geographic position analysis module is used for receiving the road information sent by the high-precision map so as to determine the current vehicle position information; the driver monitoring system is used for systematically recognizing driver identity information, driver fatigue degree and dangerous driving behaviors and sending recognition results to the driving behavior detection and analysis module; the driving behavior detection and analysis module is used for determining the state of a driver according to the recognition result, the current scene condition and the driving duration after the vehicle starts to run; and the safe driving module is used for adjusting the following distance and the speed according to the current scene condition, the current vehicle position information and the driver state so as to ensure the night driving safety of the vehicle.

Description

Technical Field

[0001] The present application relates to the field of vehicle safety technology, and in particular to a system and method for ensuring the safe driving of heavy trucks at night. Background Art

[0002] As a production tool, commercial vehicles are inevitably driven at night for commercial vehicle drivers. Compared with driving during the day, driving at night is much more dangerous, especially driving on highways at night. Data shows that the incidence of traffic accidents at night is 1-1.5 times higher than that during the day. The light is not good at night, the vision is not good, and it is easy to encounter various complex situations. In the dark, the visibility is only 3 to 5%, and the visibility is greatly reduced. Once a traffic accident occurs, the severity of the accident will be 2-3 times that of the day. In addition to limited vision, the main problems faced by heavy-duty commercial vehicles at night are long-distance fatigue driving, difficulty in speed control, and inaccurate road condition judgment. These problems will significantly increase driving risks and may lead to traffic accidents. Among them, fatigue driving is an important problem. When driving at night, the human body is in a resting state, which can easily cause the driver to be sleepy. Forcing yourself to stay up late to drive will make the driver inattentive and slow to react, thereby increasing the possibility of accidents; secondly, it is difficult to control the speed. There are fewer vehicles and pedestrians on the road at night, so drivers may increase their speed. However, visibility is poor at night, which affects their judgment of speed. In an emergency, it is difficult to quickly adjust the speed, increasing the risk of accidents. Finally, the road condition is not accurately judged. Due to insufficient light at night, the actual road conditions are difficult to accurately judge. For example, potholes and water accumulation cannot be accurately identified by the naked eye, which can easily lead to vehicle loss of control or collision.

[0003] At present, the common methods to solve nighttime driving safety are generally to improve the external environment or the vehicle's own lighting, such as installing lighting devices on highways, or automatically turning on the vehicle's headlights or automatically switching between high and low beams according to the ambient light. However, as intelligent systems become more and more popular, these solutions are highly dependent and have limited usage scenarios. Summary of the invention

[0004] In view of this, the present invention provides a system and method for ensuring the safe driving of heavy trucks at night, so as to solve the technical problems of the prior art in insufficient monitoring of the surrounding environment, such as road conditions, limited usage scenarios, and lack of active warnings and protection for vehicles.

[0005] The present invention provides a system for ensuring the safe driving of heavy trucks at night, the system comprising: a scene analysis module, connected to a sensor component, for determining the current scene situation after the vehicle is started according to the environmental information sent by the sensor component and a high-definition map; a geographic location analysis module, for receiving road information sent by a high-precision map to determine the current vehicle location information; a driver monitoring system, for systematically identifying the driver's identity information, the driver's fatigue level, and dangerous driving behavior, and sending the identification result to a driving behavior detection and analysis module; a driving behavior detection and analysis module, connected to the driver monitoring system, for determining the driver's state according to the identification result, the current scene situation and the driving time after the vehicle starts to drive; a safe driving module, respectively connected to the scene analysis module, the geographic location analysis module, and the driving behavior detection and analysis module, for adjusting the following distance and the vehicle speed according to the current scene situation, the current vehicle location information and the driver's state, so as to ensure the safety of the vehicle driving at night.

[0006] Furthermore, the sensor assembly includes a camera, a millimeter wave radar, a lidar, and an infrared night vision camera.

[0007] Furthermore, the system also includes: a remote monitoring module, which is connected to the driving behavior detection and analysis module, and is used to remind the driver through the human-computer interaction system when the driver's condition is poor and the vehicle continues to accelerate; the human-computer interaction system is used to provide sound, visual, and tactile alarm prompts based on the received warning instructions to assist the driver in driving safely.

[0008] Furthermore, the human-computer interaction system also includes: being connected to an infrared night vision camera, and being used for highlighting images of moving objects outside the vehicle acquired by the infrared night vision camera in real time.

[0009] Furthermore, the system also includes: a cloud platform, which is connected to each monitored vehicle and is used to receive the current scene conditions sent by the vehicle and send them to other vehicles so as to avoid risks in time.

[0010] Furthermore, the current scene conditions include day, night, rain, snow, fog, tunnel, traffic jam, smooth traffic and traffic accident scenes; the current vehicle position information includes long uphill, long downhill, steep slope, gentle slope, tunnel, construction site, sharp turn and accident site.

[0011] The present invention also provides a method for ensuring the safe driving of heavy trucks at night, the method comprising: step 1, after the vehicle is started, the scene analysis module receives the environmental information sent by the sensor component to determine the current scene situation; step 2, the geographical location analysis module receives the road information to determine the current vehicle location information; step 3, the driver monitoring system identifies the driver's identity information, the driver's fatigue level, and the dangerous driving behavior, and sends the identification result to the intelligent driving calculation unit; step 4, after the vehicle starts to drive, the driving behavior detection and analysis module determines the driver's state according to the identification result, the current scene situation and the driving time; step 5, the safe driving module adjusts the following distance and the vehicle speed according to the current scene situation, the current vehicle location information and the driver's state to ensure the safety of the vehicle driving at night.

[0012] Furthermore, step 5 also includes: if the current scene situation, current vehicle position information and driver status conflict with the corresponding following distance, the safe driving module adjusts to expand the following distance, or stops adjusting the following distance and switches to manual adjustment.

[0013] Furthermore, the step 5 also includes: the vehicle speed adjusted by the safe driving module cannot exceed the vehicle's cruise setting speed, and the priority of manually adjusting the vehicle speed is higher than that of the safe driving module.

[0014] Furthermore, the method also includes: Step 6, the human-computer interaction system will display the tunnel, accident, and traffic jam to the driver, and periodically remind the driver until the driver actively turns it off.

[0015] The present invention provides a system and method for ensuring the safe driving of heavy trucks at night. The technical solution determines the current scene situation through a scene analysis module, determines the current vehicle location information through a geographic location analysis module, determines the driver status through a driving behavior detection and analysis module, and adjusts the following distance and speed according to the current scene situation, the current vehicle location information and the driver status to ensure the safety of the vehicle driving at night. The technical solution solves the problems of the existing technology having limited use scenarios, being unable to actively adjust the vehicle speed and following distance, the high and low beam and headlight control range, being unable to display moving objects outside the vehicle in real time, monitoring the driver's fatigue status and driving time, and lacking active warnings. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a schematic diagram of the structure of a system for ensuring the safe driving of heavy trucks at night provided by the present invention; Figure 2 The present invention provides a flow chart of a method for ensuring safe driving of heavy trucks at night. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] The present invention provides a system for ensuring the safe driving of heavy trucks at night. Figure 1 As shown, the system includes a cloud platform, a remote monitoring module, a human-computer interaction system, a scene analysis module, a geographic location analysis module, a driver monitoring system, a driving behavior detection and analysis module and a safe driving module.

[0019] The scene analysis module is connected to the sensor component and is used to determine the current scene situation after the vehicle is started according to the environmental information sent by the sensor component and the high-definition map. The sensor component includes a camera, a millimeter-wave radar, a laser radar, and an infrared night vision camera. The camera can identify and output the target vehicle information, sign information, lane line information, and light information around the vehicle, and output it to the scene analysis module through LVDS (Low-Voltage Differential Signaling); the millimeter-wave radar can identify and output the target vehicle information around the vehicle, and output it to the scene analysis module through the CAN bus; the laser wave radar can output the point cloud data information in front of the vehicle, and output it to the scene analysis module through Ethernet; the infrared night vision camera can output the information of living things with vital signs outside the vehicle in real time, and output it to the scene analysis module through LVDS. The infrared night vision camera is a supplement to the camera, especially at night and in rainy, foggy and snowy weather. Among them, the confidence of the camera, radar, and infrared night vision camera in bad weather or poor light is shown in Table 1.

[0020]

[0021] Table 1 Confidence table of camera, radar, and infrared night vision camera The current scene conditions include daytime, nighttime, rainy and snowy, foggy, tunnel, traffic jam, smooth traffic and car accident scenes. The scene analysis module determines the specific scene mode of daytime, nighttime, rainy and snowy, foggy and tunnel based on the ambient light information sent by the panoramic camera; it determines the scene of traffic jam, smooth traffic or car accident based on the surrounding environment information sent by the panoramic camera, millimeter wave radar, lidar and high-precision map. In addition, since the vehicle is also equipped with a body control unit that can output the power status information of the whole vehicle through the CAN bus to the system that ensures the safe driving of heavy trucks at night, the scene analysis module can determine whether the vehicle is started or driving based on the power status information.

[0022] The geographic location analysis module is bound to the high-precision map and is used to receive road information sent by the high-precision map to determine the current vehicle location information. The current vehicle location information includes long uphill slopes, long downhill slopes, steep slopes, gentle slopes, tunnels, construction sites, sharp turns, and accident sites. The high-precision map is used to transmit road condition information such as road curvature, ramps, elevations, and congestion conditions to the geographic location analysis module. In addition to receiving road condition information sent by the high-precision map, the geographic location analysis module can also receive safety geographic fences and accident-prone area prompts from the cloud platform, and real-time road condition warning information from other vehicles on the same platform to determine the current vehicle's geographic location.

[0023] The driver monitoring system is used to identify the driver's identity information, driver fatigue level, and dangerous driving behavior, and send the identification results to the driving behavior detection and analysis module. The driver's fatigue level is usually divided into good, average, and poor, and the identification results are output to the driving behavior detection and analysis module through the CAN bus.

[0024] The driving behavior detection and analysis module is connected to the driver monitoring system and is used to determine the driver's state based on the recognition results, current scene conditions and driving time after the vehicle starts driving. The driving behavior detection and analysis module evaluates the driver's state based on information such as driver fatigue, driving time, weather conditions, brake pedal, steering wheel angle, accelerator pedal change rate, etc. The state is divided into good, average and poor, indicating the driver's mental state.

[0025] The safe driving module is connected to the scene analysis module, the geographic location analysis module, and the driving behavior detection and analysis module respectively, and is used to adjust the following distance and speed according to the current scene situation, the current vehicle location information and the driver's state to ensure the safety of the vehicle at night. The safe driving module includes a speed adjustment module and a distance warning module, wherein the distance warning module plans a reasonable distance according to the scene output by the scene analysis module, the driving behavior detection and analysis module, and the geographic location analysis module, the driver's mental state, the current or upcoming geographic location, and gives a distance indication and related warnings; the speed adjustment module timely adjusts the speed recommendation range according to the driving behavior status, the beyond-visual-range road condition information, and the current scene. In addition, the vehicle is also provided with a drive control unit, which can collect and output the accelerator pedal opening information to the system that ensures the safe driving of heavy trucks at night through the CAN bus, and execute the torque control command given by the system that ensures the safe driving of heavy trucks at night to achieve the purpose of controlling the speed and adjusting the following distance.

[0026] The remote monitoring module is connected to the driving behavior detection and analysis module. When the driver's condition is poor and the vehicle continues to accelerate, the human-computer interaction system will remind the driver. The remote monitoring module remotely monitors the driver's condition and the actual situation of the vehicle in real time. If there is a risk, the driver will be warned remotely through voice reminders and other means; The human-computer interaction system includes, but is not limited to, the instrument cluster, central control display, steering wheel, seat, etc., and is used to provide multiple alarm prompts such as sound, vision, and touch according to the received warning instructions to assist the driver in driving safely. The human-computer interaction system also includes: connected to the infrared night vision camera, and used to highlight the image of the moving objects outside the vehicle obtained by the infrared night vision camera in real time.

[0027] The cloud platform is connected to each monitored vehicle to receive the current scene information sent by the vehicle and send it to other vehicles to avoid risks in time. Other vehicles refer to other vehicles in the cloud monitoring system. The vehicle and other vehicles can communicate through V2X or cloud communication to obtain road condition information ahead.

[0028] The present invention provides a system and method for ensuring the safe driving of heavy trucks at night. The technical solution determines the current scene situation through a scene analysis module, determines the current vehicle location information through a geographic location analysis module, determines the driver status through a driving behavior detection and analysis module, and adjusts the following distance and speed according to the current scene situation, the current vehicle location information and the driver status to ensure the safety of the vehicle driving at night. The technical solution solves the problems of the existing technology having limited use scenarios, being unable to actively adjust the vehicle speed and following distance, the high and low beam and headlight control range, being unable to display moving objects outside the vehicle in real time, monitoring the driver's fatigue status and driving time, and lacking active warnings.

[0029] The present invention provides a method for ensuring the safe driving of heavy trucks at night. Figure 2 As shown, the method steps are as follows.

[0030] Step 1: After the vehicle is started, the scene analysis module receives the environmental information sent by the sensor component and determines the current scene situation; The scene analysis module determines the current scene according to Table 2:

[0031] Table 2 Scenario Analysis Table Step 2, the geographic location analysis module receives road information and determines the current vehicle location information; Step 3: The driver monitoring system identifies the driver's identity information, driver fatigue level, and dangerous driving behavior, and sends the identification results to the intelligent driving computing unit; The driver monitoring system determines the recognition result according to Table 3 (ie, Driver_state1 in Table 3):

[0032] Table 3 Recognition result table Step 4: After the vehicle starts driving, the driving behavior detection and analysis module determines the driver's state based on the recognition results, the current scene conditions and the driving time; The driving behavior detection and analysis module determines the driver state (i.e., Driver_state2 in Table 4) according to Table 4:

[0033] Table 4 Driver status analysis table Step 5: The safe driving module adjusts the following distance and vehicle speed according to the current scene conditions, current vehicle location information and driver status to ensure the safety of vehicle driving at night.

[0034] As shown in Tables 5 and 6, if the current scene, current vehicle location information and driver status conflict with the corresponding following distance, the safe driving module adjusts to expand the following distance, or stops adjusting the following distance and switches to manual adjustment. The speed adjusted by the safe driving module cannot exceed the vehicle's cruise setting speed, and the manual speed adjustment has a higher priority than the safe driving module.

[0035]

[0036] Table 5 Vehicle distance adjustment determination table

[0037] Table 6 Vehicle speed adjustment determination table Step 6: The human-computer interaction system will display tunnels, accidents, and traffic jams to the driver and periodically remind the driver until the driver actively turns it off.

[0038] The human-computer interaction system displays to the driver information about identified tunnels, accidents, traffic jams, as well as weather, accidents, accident-prone areas, etc., received from the cloud platform or other vehicles, and provides voice warnings initially, and then every half an hour until the driver actively turns it off.

[0039] The present invention provides a system and method for ensuring the safe driving of heavy trucks at night. The technical solution determines the current scene situation through a scene analysis module, determines the current vehicle location information through a geographic location analysis module, determines the driver status through a driving behavior detection and analysis module, and adjusts the following distance and speed according to the current scene situation, the current vehicle location information and the driver status to ensure the safety of the vehicle driving at night. The technical solution solves the problems of the existing technology having limited use scenarios, being unable to actively adjust the vehicle speed and following distance, the high and low beam and headlight control range, being unable to display moving objects outside the vehicle in real time, monitoring the driver's fatigue status and driving time, and lacking active warnings.

[0040] In summary, the embodiments of the present invention provide a system and method for ensuring the safe driving of heavy trucks at night. The system and method can actively adjust the vehicle speed and the following distance according to the road conditions and the surrounding environment, adjust the high and low beam and the headlight control range, display the moving objects outside the vehicle in real time, monitor the driver's fatigue state and driving time, and actively warn the driver. If the warning in the car is ineffective, the remote manual warning intervenes to improve the safety of the vehicle's night driving. Through V2X and night vision technology, the use scenarios are greatly expanded, the functional utilization rate is improved, and the driver is warned by various means such as active and passive, which reduces the dependence on the driver's driving experience.

[0041] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A system for ensuring the safe driving of heavy trucks at night, characterized in that: The system comprises: A scene analysis module is connected to the sensor component and is used to determine the current scene situation based on the environmental information sent by the sensor component and the high-definition map after the vehicle is started; The geographic location analysis module is used to receive the road information sent by the high-precision map to determine the current vehicle location information; The driver monitoring system is used to identify the driver's identity information, driver fatigue level, and dangerous driving behavior, and send the identification results to the driving behavior detection and analysis module; The driving behavior detection and analysis module is connected to the driver monitoring system and is used to determine the driver's status based on the recognition results, current scene conditions and driving time after the vehicle starts driving; The safe driving module is connected to the scene analysis module, the geographic location analysis module, and the driving behavior detection and analysis module respectively. It is used to adjust the following distance and vehicle speed according to the current scene conditions, current vehicle location information and driver status to ensure the safety of vehicle driving at night.

2. According to claim 1, a system for ensuring the safe driving of heavy trucks at night is characterized in that: The sensor components include a camera, a millimeter-wave radar, a laser radar, and an infrared night vision camera.

3. A system for ensuring safe driving of heavy trucks at night according to claim 2, characterized in that: The system further comprises: The remote monitoring module is connected to the driving behavior detection and analysis module and is used to remind the driver through the human-computer interaction system when the driver's condition is poor and the vehicle continues to accelerate; The human-computer interaction system is used to provide sound, visual, and tactile alarm prompts based on the received warning instructions to assist the driver in driving safely.

4. A system for ensuring safe driving of heavy trucks at night according to claim 3, characterized in that: The human-computer interaction system also includes: being connected to an infrared night vision camera and being used for highlighting images of moving objects outside the vehicle acquired by the infrared night vision camera in real time.

5. According to claim 1, a system for ensuring the safe driving of heavy trucks at night is characterized in that: The system also includes: a cloud platform, which is connected to each monitored vehicle and is used to receive the current scene conditions sent by the vehicle and send them to other vehicles so as to avoid risks in time.

6. A system for ensuring safe driving of heavy trucks at night according to claim 1, characterized in that: The current scene conditions include day, night, rain, snow, fog, tunnel, traffic jam, smooth traffic and traffic accident scenes; the current vehicle position information includes long uphill, long downhill, steep slope, gentle slope, tunnel, construction site, sharp turn and accident site.

7. A method for ensuring the safe driving of heavy trucks at night using the system described in claims 1 to 6, the method comprising: Step 1: After the vehicle is started, the scene analysis module receives the environmental information sent by the sensor component and determines the current scene situation; Step 2, the geographic location analysis module receives road information and determines the current vehicle location information; Step 3: The driver monitoring system identifies the driver's identity information, driver fatigue level, and dangerous driving behavior, and sends the identification results to the intelligent driving computing unit; Step 4: After the vehicle starts driving, the driving behavior detection and analysis module determines the driver's state based on the recognition results, the current scene conditions and the driving time; Step 5: The safe driving module adjusts the following distance and vehicle speed according to the current scene conditions, current vehicle location information and driver status to ensure the safety of vehicle driving at night.

8. A method for ensuring safe driving of heavy trucks at night according to claim 7, characterized in that: The step 5 also includes: if the current scene situation, the current vehicle position information and the driver's state conflict with the corresponding following distance, the safe driving module adjusts to expand the following distance, or stops adjusting the following distance and switches to manual adjustment.

9. A method for ensuring safe driving of heavy trucks at night according to claim 7, characterized in that: The step 5 also includes: the vehicle speed adjusted by the safe driving module cannot exceed the vehicle's cruise setting speed, and the priority of manually adjusting the vehicle speed is higher than that of the safe driving module.

10. A method for ensuring safe driving of heavy trucks at night according to claim 7, characterized in that: The method further comprises: Step 6: The human-computer interaction system will display tunnels, accidents, and traffic jams to the driver and periodically remind the driver until the driver actively turns it off.

Images