A vehicle and road blind spot warning system based on data interaction

Abstract

A vehicle and road blind spot warning system based on data interaction includes: a detection module that detects environmental data around the vehicle using onboard sensors; a location module that determines the vehicle's real-time location; a blind spot judgment module that calculates and analyzes the environmental data and the vehicle's real-time location data to identify blind spot locations around the vehicle; and an alert module that provides a warning to the driver based on the identified blind spot locations. This invention comprehensively analyzes the environment near the current vehicle, the positions of other vehicles, and driving trends to identify the relative blind spot locations of the current vehicle, thereby providing warnings for these blind spot locations, reducing the possibility of missed warnings and improving the warning effect.

Description

Technical Field

[0001] This invention belongs to the field of road monitoring technology, specifically a vehicle and road blind spot warning system based on data interaction. Background Technology

[0002] With the development of transportation, the number of vehicles is constantly increasing, and traffic problems are becoming increasingly prominent. Among them, the safety problem of blind spots at road intersections is particularly serious. At road intersections, due to the obstruction of buildings, traffic signs, or other vehicles, drivers will have blind spots and will not be able to accurately judge the traffic conditions in the blind spots, which can easily lead to traffic accidents.

[0003] Currently, it is difficult to determine the blind spots of different vehicles and drivers at different locations at intersections and to provide real-time feedback to the corresponding drivers. It is impossible to accurately assess the blind spot risk of the corresponding vehicle at the intersection, which is not conducive to ensuring traffic safety at intersections. Furthermore, it is impossible to effectively remind vehicles about to enter the corresponding intersection, and it is difficult to make a reasonable judgment on the warning effect. The warning effect needs to be improved. Summary of the Invention

[0004] To overcome the shortcomings of existing technologies, this invention proposes a vehicle and road blind spot warning system based on data interaction. This system comprehensively analyzes the environment around the current vehicle, the positions of other vehicles, and driving trends to identify the relative blind spots of the current vehicle. It then provides early warnings for these blind spots, reducing the possibility of missed warnings and improving the warning effect.

[0005] The technical solution adopted by this invention to solve its technical problem is: a vehicle and road blind spot warning system based on data interaction, the warning system comprising:

[0006] The detection module detects environmental data around the vehicle based on onboard sensors.

[0007] A location module, which is used to determine the real-time location of the vehicle;

[0008] The blind spot detection module calculates and analyzes environmental data and real-time vehicle location data to identify the blind spot locations around the vehicle.

[0009] The alert module provides warnings to the driver based on the identified blind spot locations;

[0010] The blind spot determination module includes:

[0011] An interaction unit is used for data exchange between vehicles, and the data exchanged between vehicles includes location data and speed data.

[0012] The analysis unit calculates the driving trajectories of other vehicles besides its own vehicle based on the received vehicle position data and speed data;

[0013] The simulation unit analyzes environmental data, the vehicle's position, and the driving trajectories of other vehicles to identify the blind spots created when other vehicles pass by the vehicle.

[0014] Preferably, the analysis unit analyzes and compares the vehicle's speed data and real-time location data, and the analysis unit does not continue to analyze the vehicle behind if the vehicle behind will not overtake the current vehicle on the road;

[0015] The analysis unit generates the relative driving trajectory of the vehicle when a vehicle behind it overtakes the current vehicle on the road. The relative driving trajectory is the driving trajectory of the vehicle behind it on the road, which is derived with the current vehicle as a reference. The simulation unit finds the blind spot location when the current vehicle is overtaken by a vehicle behind it based on the relative driving trajectory of the vehicle.

[0016] Preferably, the analysis unit identifies and analyzes the environmental data, finds the fixed environmental data in the environmental data, and the interaction unit transmits the found fixed environmental data to other vehicles on the road.

[0017] The blind spot determination module includes:

[0018] The simplification unit analyzes and compares the received fixed environmental data with the environmental data detected by the current vehicle, and identifies the environmental data that changes relative to the current vehicle.

[0019] The simulation unit analyzes the current vehicle's trajectory and changing environmental data to identify blind spots in the relative environmental data of the current vehicle.

[0020] Preferably, the simulation unit analyzes the fixed environmental data and vehicle position data to find the location of the fixed blind zone and the triggering location of the triggering blind zone, which exist relatively in the fixed environmental data. The interaction unit then transmits the location of the fixed blind zone and the triggering location of the triggering blind zone to other vehicles on the road.

[0021] When the simulation unit determines that the vehicle's position is the same as the trigger position, it issues a fixed blind spot warning. After receiving the fixed blind spot warning, the reminder module issues a warning.

[0022] Preferably, the data exchanged between the vehicles also includes the driver's driving trend. The analysis unit supplements and corrects the obtained relative driving trajectory based on the received driving trend to obtain a corrected trajectory. The simulation unit analyzes the corrected trajectory to find the blind spot location of the current vehicle.

[0023] Preferably, the blind spot determination module further includes:

[0024] The grading unit analyzes and compares the detected blind spots, and determines the degree of threat posed by the detected blind spots to the vehicle. The grading unit determines that blind spots with relatively larger areas pose a relatively greater threat to the vehicle.

[0025] Preferably, the reminder module includes:

[0026] The vehicle warning unit is used to warn the driver about the location of the vehicle's blind spots, and the driver can increase their attention to thinking and judgment while driving based on the received warning.

[0027] Other vehicle warning unit, the other vehicle warning unit records the time of warning for the same blind spot, the other vehicle warning unit locates and marks the vehicle corresponding to the blind spot with excessive warning time;

[0028] The other vehicle warning unit sends warning reminders to the located and marked vehicles through the interaction unit.

[0029] Preferably, the analysis unit detects and analyzes environmental data and blind spot locations, the analysis unit provides a warning signal for environmental data that intrudes into the blind spot, and the warning module issues a warning to the driver after receiving the warning signal.

[0030] The beneficial effects of the present invention are as follows:

[0031] 1. The vehicle and road blind spot warning system based on data interaction described in this invention generates the vehicle's trajectory by collecting environmental data around the vehicle and the position and speed data of other vehicles on the road. Then, the vehicle's trajectory and environmental data are simulated and analyzed by a simulation unit to find the blind spot location of the current vehicle and issue a warning for the found blind spot location, so as to avoid missed warnings and improve the effect of blind spot warning.

[0032] 2. The vehicle and road blind spot warning system based on data interaction described in this invention, when warning of the blind spot location of a vehicle, will warn the vehicle corresponding to the long-term blind spot through the other vehicle warning unit, so that the driver of the vehicle can take timely corresponding action, minimize the time the vehicle is obscured, reduce the generation and duration of the blind spot, and avoid the blind spot from existing for a long time, thus affecting the safety of vehicle driving. Attached Figure Description

[0033] The invention will now be further described with reference to the accompanying drawings.

[0034] Figure 1 This is a system block diagram of the early warning system of the present invention. Detailed Implementation

[0035] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.

[0036] like Figure 1 As shown, the present invention discloses a vehicle and road blind spot warning system based on data interaction, the warning system comprising:

[0037] The detection module detects environmental data around the vehicle based on onboard sensors.

[0038] A location module, which is used to determine the real-time location of the vehicle;

[0039] The blind spot detection module calculates and analyzes environmental data and real-time vehicle location data to identify the blind spot locations around the vehicle.

[0040] The alert module provides warnings to the driver based on the identified blind spot locations;

[0041] The blind spot determination module includes:

[0042] An interaction unit is used for data exchange between vehicles, and the data exchanged between vehicles includes location data and speed data.

[0043] The analysis unit calculates the driving trajectories of other vehicles besides its own vehicle based on the received vehicle position data and speed data;

[0044] The simulation unit analyzes environmental data, the vehicle's position, and the driving trajectories of other vehicles to identify the blind spots created when other vehicles pass by the vehicle.

[0045] The environmental data includes road type, building location, traffic signs, and pedestrian location. Meanwhile, the vehicle-mounted sensors include, but are not limited to, lidar, ultrasonic radar, and vision cameras.

[0046] When the traffic lights change and a vehicle is about to start moving again through the intersection, the detection module uses onboard sensors to detect surrounding environmental data, including the positions of pedestrians at the intersection, the positions and speeds of other vehicles on the road. At the same time, the location module uses GPS data to determine the vehicle's real-time location, and the various vehicles at the intersection exchange their position and speed data through an interactive unit to ensure that the environmental data detected by the detection module is comprehensive and accurate.

[0047] Meanwhile, the analysis unit calculates the vehicle's position and speed data to obtain the driving trajectory of each vehicle on the road at the intersection. Then, the simulation unit comprehensively analyzes the positions of pedestrians at the intersection, the positions of other vehicles on the road, and the driving trajectories of the vehicles to find the blind spot location caused by other vehicles that are about to overtake the vehicle when they pass. After that, the warning module will give a warning about the possible blind spot.

[0048] Simultaneously, by calculating the driving trajectories of vehicles at intersections, vehicles that may overtake the vehicle are identified. Further analysis of the relationship between the vehicle and these overtaking vehicles reveals blind spots created by other vehicles' overtaking. This allows for early warning of these blind spots, preventing drivers from rushing through intersections or turning at intersections, which could obstruct the view of overtaking or turning vehicles and create blind spots, thus posing a safety risk. Therefore, early warning of blind spots caused by other vehicles at intersections helps prevent accidents caused by blind spots.

[0049] In one embodiment of the present invention, the analysis unit analyzes and compares the vehicle's speed data and real-time location data, and the analysis unit does not continue to analyze the vehicle behind if the vehicle behind will not overtake the current vehicle on the road.

[0050] The analysis unit generates the relative driving trajectory of the vehicle when a vehicle behind overtakes the current vehicle on the road. The relative driving trajectory is the driving trajectory of the vehicle behind on the road, which is obtained with the current vehicle as a reference. The simulation unit finds the blind spot location when the current vehicle is overtaken by a vehicle behind on the road based on the relative driving trajectory of the vehicle.

[0051] When a vehicle is driving normally and smoothly on the road, the driver can see the road conditions in front of the vehicle steadily and clearly, so that the vehicle has no blind spots or minimizes the number of blind spots and reduces the adverse effects of blind spots. However, when there are relatively many vehicles on the road and a vehicle behind is preparing to overtake, the overtaking vehicle will obstruct the vision of the overtaken vehicle, which will limit the driver's vision. That is, the driver will have a temporary blind spot. At this time, if other vehicles on the road have accidents or pedestrians cross the road, the driver may not be able to react in time due to the temporary blind spot, which may lead to traffic accidents.

[0052] Meanwhile, by comparing the speed and position data of vehicles on the road through the analysis unit, when it is found that the vehicle behind is traveling at a relatively high speed and is overtaking, the analysis unit will analyze the overtaking vehicle and generate its driving trajectory. In order to facilitate the analysis, the current vehicle, i.e., the vehicle itself, will be used as a reference to generate a relative driving trajectory. Then, the simulation unit analyzes the relative driving trajectory to find the blind spot position when the vehicle behind passes the vehicle. Afterwards, the warning module will issue a warning for the blind spot position to reduce the impact of the blind spot on the driver's safe driving and the possibility of accidents caused by blind spot interference.

[0053] In one embodiment of the present invention, the analysis unit identifies and analyzes environmental data, finds fixed and unchanging environmental data in the environmental data, and the interaction unit transmits the found fixed and unchanging environmental data to other vehicles on the road.

[0054] The blind spot determination module includes:

[0055] The simplification unit analyzes and compares the received fixed environmental data with the environmental data detected by the current vehicle, and identifies the environmental data that changes relative to the current vehicle.

[0056] The simulation unit analyzes the current vehicle's driving trajectory and changing environmental data to identify blind spots in the relative environmental data of the current vehicle.

[0057] Because vehicles constantly travel on the road and road conditions are not easily changed, a large portion of the environmental data detected by the detection module through the vehicle's sensors is fixed and unchanging, such as road curbs, roadside trees, roadside buildings, and traffic signs. Therefore, the analysis unit identifies and analyzes the detected environmental data to find the fixed environmental data, such as buildings and traffic signs. Then, the interaction unit transmits the fixed environmental data to other vehicles on the road. Afterward, the simplification unit analyzes and compares the environmental data detected by the detection module with the received fixed environmental data to further determine the data that may change. This avoids misjudgments that may occur when analyzing and comparing environmental data detected by a single vehicle. For example, if roadside trees shake in the wind or roadside banners are blown by the wind, the simplification unit may misjudge them as changing environmental data, thus affecting the analysis and detection of blind spot positions for subsequent vehicles. This could lead to the warning module issuing incorrect warnings and affecting the driver's thinking and judgment.

[0058] Meanwhile, the simplified unit identifies environmental data that changes relative to the current vehicle, such as slowly passing or temporarily stopped electric vehicles or trailers. Then, the simulation unit analyzes the changing environmental data to identify blind spots for the current vehicle, thus preventing blind spots from affecting the driver's vision and causing traffic accidents.

[0059] As one embodiment of the present invention, the simulation unit analyzes the fixed environmental data and the vehicle's position data to find the location of the fixed blind zone and the triggering location of the triggering blind zone where the vehicle exists relative to the fixed environmental data. The interaction unit transmits the location of the fixed blind zone and the triggering location of the triggering blind zone to other vehicles on the road.

[0060] When the simulation unit determines that the vehicle's position is the same as the trigger position, it issues a fixed blind spot warning. After receiving the fixed blind spot warning, the reminder module issues a warning.

[0061] Because of the relatively fixed buildings and intersections on the road, vehicles will experience fixed blind spots when they reach a fixed location. Therefore, a simulation unit identifies these fixed blind spots and the locations where vehicles trigger them. This information is then transmitted to other vehicles on the road via an interactive unit. When other vehicles reach the trigger location, the simulation unit can determine that a fixed blind spot exists, thus reducing the computational power and workload required for the early warning system to detect and warn of vehicle blind spots. This accelerates the detection and warning speed of the early warning system, ensuring a good warning effect for blind spots.

[0062] As one embodiment of the present invention, the data exchanged between the vehicles also includes the driver's driving trend. The analysis unit supplements and corrects the obtained relative driving trajectory based on the received driving trend to obtain a corrected trajectory. The simulation unit analyzes the corrected trajectory to find the blind spot location of the current vehicle.

[0063] When other vehicles are traveling in the same direction as your vehicle, if their speed is greater, they will gradually overtake you, creating a blind spot. Therefore, it's necessary to warn the driver about this blind spot to prevent it from affecting their judgment and driving safety. Furthermore, as vehicles travel, drivers will adjust their controls based on the situation, such as steering, driving straight, decelerating, and accelerating, thus altering the vehicle's position on the road, its relative position to other vehicles, and the impact on the road's safety. The interaction unit transmits the driving trends of the vehicle to other vehicles to detect blind spots between vehicles. This allows the analysis unit to supplement and correct the relative driving trajectory based on the received driving trends, resulting in a corrected trajectory. For example, when the driver of another vehicle on the road turns or overtakes in a direction away from the vehicle, the resulting relative driving trajectory will not approach the vehicle or the direction will be blocked and there will be no interference, allowing the vehicle to pass the vehicle and then contact the vehicle. This allows the simulation unit to ignore the blind spot created by the overtaken vehicle and not issue a warning, thereby avoiding false alarms or excessive alarms from the warning module.

[0064] At the same time, by analyzing the driving trends of drivers, the analysis effect of blind spots of vehicles on the road can be further improved, and the accuracy of blind spot detection can be enhanced.

[0065] In one embodiment of the present invention, the blind zone determination module further includes:

[0066] The grading unit analyzes and compares the detected blind spots, and determines the degree of threat posed by the detected blind spots to the vehicle. The grading unit determines that blind spots with relatively larger areas pose a relatively greater threat to the vehicle.

[0067] During vehicle operation, various blind spots constantly appear around the vehicle. If the same warning is given to the driver the moment a blind spot appears, the driver may become complacent and negligent after receiving too many warnings. Consequently, when the warning reappears, the driver may not be able to react promptly and correctly, and the driver's attention may be diverted, which can easily lead to traffic accidents. Therefore, blind spots should be classified according to their size, and the intensity of warnings should be increased for relatively large blind spots. This ensures that the driver pays attention to different levels of blind spots and is more sensitive to reacting to different blind spots, thus avoiding traffic accidents caused by vehicle blind spots.

[0068] In one embodiment of the present invention, the reminder module includes:

[0069] The vehicle warning unit is used to warn the driver about the location of the vehicle's blind spots, and the driver can increase their attention to thinking and judgment while driving based on the received warning.

[0070] Other vehicle warning unit, the other vehicle warning unit records the time of warning for the same blind spot, the other vehicle warning unit locates and marks the vehicle corresponding to the blind spot with excessive warning time;

[0071] The other vehicle warning unit sends warning reminders to the located and marked vehicles through the interaction unit;

[0072] The vehicle warning unit provides alerts for blind spots, enabling drivers to maintain focus and avoid the negative impact of obstructed vision on driving safety, thus preventing traffic accidents. Furthermore, when other vehicles on the road obstruct the vehicle for extended periods, creating blind spots (e.g., at relatively slow speeds leading to prolonged overtaking or extended obstruction during overtaking), the other vehicle warning unit records the warning duration. If the same blind spot is warned for too long, the other vehicle warning unit locates and marks the corresponding vehicle. Then, through the interaction unit, a warning is sent to the located and marked vehicle, allowing the driver to take timely action to avoid mutual obstruction. This includes increasing speed, shortening overtaking time, quickly changing lanes to increase distance, or slowing down to stop overtaking and increase distance, thereby reducing the time the vehicle is obstructed and minimizing the duration of blind spots, preventing them from persisting and affecting driving safety.

[0073] In one embodiment of the present invention, the analysis unit detects and analyzes environmental data and blind spot locations, the analysis unit provides a warning signal for environmental data that intrudes into the blind spot, and the reminder module issues a warning to the driver after receiving the warning signal.

[0074] Simultaneously, the analysis unit detects the blind spot location and environmental data. When a moving object in the environmental data, such as a pedestrian crossing the road, a small animal, or other small vehicle, enters the blind spot, the analysis unit sends an alarm signal to the alert module. Upon receiving the alarm signal, the alert module sends an alarm to the driver, reminding the driver that there is an intrusion in the vehicle's blind spot. This prevents the driver from being unaware of the actual situation in the vehicle's blind spot, which could lead to an accident and affect the normal operation of the vehicle.

[0075] The specific workflow is as follows:

[0076] When the traffic lights change and a vehicle is about to start moving again through the intersection, the detection module uses onboard sensors to detect surrounding environmental data, including the positions of pedestrians at the intersection, the positions and speeds of other vehicles on the road. At the same time, the location module uses GPS data to determine the vehicle's real-time location, and the various vehicles at the intersection exchange their position and speed data through an interactive unit to ensure that the environmental data detected by the detection module is comprehensive and accurate.

[0077] The analysis unit calculates the vehicle's position and speed data to obtain the driving trajectory of each vehicle on the road at the intersection. Then, the simulation unit comprehensively analyzes the positions of pedestrians at the intersection, the positions of other vehicles on the road, and the driving trajectories of the vehicles to find the blind spot location caused by other vehicles that are about to overtake the vehicle when they pass. The warning module then provides a warning about the possible blind spot.

[0078] At the same time, by calculating the driving trajectory of vehicles at intersections, vehicles that may overtake the vehicle can be identified. Then, the relationship between the vehicle and the overtaking vehicles can be analyzed to find the blind spot locations caused by other vehicles overtaking. This provides early warning for the blind spots and prevents drivers from rushing through intersections or turning at intersections, which could cause vehicles that are starting normally at intersections to be blocked by overtaking or turning vehicles, thus creating blind spots. Therefore, it provides early warning for blind spots caused by other vehicles when the vehicle is passing through an intersection.

[0079] When a vehicle is driving normally and smoothly on the road, the driver can see the road conditions in front of the vehicle steadily and clearly, so that the vehicle has no blind spots or minimizes the number of blind spots and reduces the adverse effects that blind spots may cause. At the same time, when there are relatively many vehicles on the road and a vehicle behind is preparing to overtake, the overtaking vehicle will obstruct the vision of the overtaken vehicle when passing, which will limit the driver's vision of the overtaken vehicle, that is, the driver will have a temporary blind spot.

[0080] Meanwhile, by comparing the speed and position data of vehicles on the road through the analysis unit, when it is found that the vehicle behind is traveling at a relatively high speed and is overtaking, the analysis unit will analyze the vehicle overtaking on the road and generate the vehicle's driving trajectory. In order to facilitate the analysis, the relative driving trajectory will be generated with the current vehicle, i.e., the vehicle itself, as the reference. The simulation unit analyzes the relative driving trajectory to find the blind spot position when the vehicle behind passes the vehicle. Then, the warning module will provide a warning for the blind spot position.

[0081] Because vehicles constantly travel on the road and road conditions are not easily changed, a large portion of the environmental data detected by the detection module through the vehicle's sensors is fixed and unchanging, such as road curbs, roadside trees, roadside buildings, and traffic signs. Therefore, the analysis unit identifies and analyzes the detected environmental data to find the fixed environmental data, such as buildings and traffic signs. Then, the interaction unit transmits the fixed environmental data to other vehicles on the road. Afterward, the simplification unit analyzes and compares the environmental data detected by the detection module with the received fixed environmental data to further determine the data that may change. This avoids misjudgments that may occur when analyzing and comparing environmental data detected by a single vehicle. For example, if roadside trees shake in the wind or roadside banners are blown by the wind, the simplification unit may misjudge them as changing environmental data, thus affecting the analysis and detection of blind spot positions for subsequent vehicles. This could lead to the warning module issuing incorrect warnings and affecting the driver's thinking and judgment.

[0082] At the same time, the simplified unit identifies environmental data that changes relative to the current vehicle, such as electric vehicles or trailers that are slowly passing by or temporarily stopping. Then, the simulation unit analyzes the changing environmental data to identify blind spots for the current vehicle.

[0083] Because of the relatively fixed buildings and intersections on the road, vehicles will experience fixed blind spots when they reach a fixed location due to the influence of these fixed buildings and intersections. Therefore, a simulation unit is used to identify the fixed blind spots on the road and the locations where vehicles trigger blind spots. This information is then transmitted to other vehicles on the road via an interactive unit. When other vehicles reach the trigger location, the simulation unit can determine that a fixed blind spot exists, thereby reducing the computing power and computational load required for the early warning system to detect and warn of vehicle blind spots, and accelerating the detection and warning speed of the early warning system.

[0084] When other vehicles are driving in the same direction as this vehicle, if their speed is greater, they will gradually overtake it, creating blind spots. Therefore, it's necessary to warn the driver about these blind spots to prevent them from affecting the driver's thinking and judgment. Simultaneously, as vehicles travel, drivers will control their vehicles differently depending on the situation, such as turning, going straight, decelerating, and accelerating, thus changing the vehicle's driving state and relative positions with other vehicles, and altering the blind spots. Therefore, the interactive unit transmits the driving trends of other vehicles, allowing the analysis unit to supplement and correct the relative driving trajectories based on the received trends, resulting in a corrected trajectory. For example, if other drivers turn or overtake in a direction away from this vehicle, the resulting relative driving trajectory will not approach this vehicle or will be obstructed, allowing the vehicle to pass and reach this vehicle. This allows the simulation unit to ignore the blind spots created by the overtaking vehicle and not issue a warning.

[0085] At the same time, by analyzing the driving trends of drivers, the analysis effect of blind spots of vehicles on the road can be further improved;

[0086] During vehicle operation, various blind spots will constantly appear around the vehicle. If the same warning is given to the driver the moment a blind spot appears, the driver may become complacent and negligent after receiving too many warnings. Consequently, when the warning reappears, the driver may not be able to handle it in a timely and correct manner, and the driver's attention may be distracted. Therefore, blind spots are classified according to their size, and the intensity of warnings is increased for relatively large blind spots to ensure the driver's attention to different levels of blind spots and the driver's sensitivity to reacting to different blind spots.

[0087] The vehicle warning unit provides early warnings about blind spots, enabling drivers to maintain focus while operating the vehicle. Simultaneously, when other vehicles on the road obscure the vehicle for extended periods, creating blind spots (e.g., when driving at relatively slow speeds, resulting in prolonged overtaking time or extended obscuring during overtaking), the other vehicle warning unit records the warning time. If the same blind spot is warned for too long, the other vehicle warning unit locates and marks the corresponding vehicle. Then, through the interaction unit, it sends a warning to the located and marked vehicle, allowing the driver of the receiving vehicle to take timely measures to avoid mutual obstruction. These measures include increasing speed, shortening overtaking time, quickly changing lanes to increase the distance between vehicles, or slowing down to terminate overtaking and increase the distance between vehicles. This reduces the time the vehicle is obscured, decreases the duration of blind spots, and prevents blind spots from persisting for extended periods, thus ensuring driving safety.

[0088] Simultaneously, the analysis unit detects the blind spot location and environmental data. When a moving object in the environmental data, such as a pedestrian crossing the road, a small animal, or other small vehicle, enters the blind spot, the analysis unit sends an alarm signal to the alert module. Upon receiving the alarm signal, the alert module sends an alarm to the driver, reminding the driver that there is an intrusion in the vehicle's blind spot. This prevents the driver from being unaware of the actual situation in the vehicle's blind spot, which could lead to an accident and affect the normal operation of the vehicle.

[0089] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A vehicle and road blind spot warning system based on data interaction, characterized in that: The early warning system includes: The detection module detects environmental data around the vehicle based on onboard sensors. A location module, which is used to determine the real-time location of the vehicle; The blind spot detection module calculates and analyzes environmental data and real-time vehicle location data to identify the blind spot locations around the vehicle. The alert module provides warnings to the driver based on the identified blind spot locations; The blind spot determination module includes: An interaction unit is used for data exchange between vehicles, and the data exchanged between vehicles includes location data and speed data. The analysis unit calculates the driving trajectories of other vehicles besides its own vehicle based on the received vehicle position data and speed data; The simulation unit analyzes environmental data, the vehicle's position, and the driving trajectories of other vehicles to identify the blind spots created when other vehicles pass by the vehicle. The analysis unit analyzes and compares the vehicle's speed data and real-time location data. The analysis unit does not continue to analyze the vehicles behind if the vehicles behind will not overtake the current vehicle on the road. The analysis unit generates the relative driving trajectory of the current vehicle when a vehicle behind it overtakes it on the road. The relative driving trajectory is the driving trajectory of the vehicle behind it on the road, which is obtained with the current vehicle as a reference. The simulation unit finds the blind spot location when the current vehicle is overtaken by a vehicle behind it based on the relative driving trajectory of the vehicle. The data exchanged between the vehicles also includes the driver's driving trends. The analysis unit supplements and corrects the obtained relative driving trajectory based on the received driving trends to obtain a corrected trajectory. The simulation unit analyzes the corrected trajectory to find the blind spot location of the current vehicle.

2. The vehicle and road blind spot warning system based on data interaction according to claim 1, characterized in that: The analysis unit identifies and analyzes environmental data, finds fixed and unchanging environmental data, and the interaction unit transmits the found fixed and unchanging environmental data to other vehicles on the road. The blind spot determination module includes: The simplification unit analyzes and compares the received fixed environmental data with the environmental data detected by the current vehicle, and identifies the environmental data that changes relative to the current vehicle. The simulation unit analyzes the current vehicle's trajectory and changing environmental data to identify blind spots in the relative environmental data of the current vehicle.

3. The vehicle and road blind spot warning system based on data interaction according to claim 2, characterized in that: The simulation unit analyzes the fixed environmental data and vehicle position data to find the location of the fixed blind zone and the triggering location of the triggering blind zone, which exist relatively in the fixed environmental data. The interaction unit then transmits the location of the fixed blind zone and the triggering location of the triggering blind zone to other vehicles on the road. When the simulation unit determines that the vehicle's position is the same as the trigger position, it issues a fixed blind spot warning. After receiving the fixed blind spot warning, the reminder module issues a warning.

4. The vehicle and road blind spot warning system based on data interaction according to claim 1, characterized in that: The blind spot detection module also includes: The grading unit analyzes and compares the detected blind spots, and determines the degree of threat posed by the detected blind spots to the vehicle. The grading unit determines that blind spots with relatively larger areas pose a relatively greater threat to the vehicle.

5. The vehicle and road blind spot warning system based on data interaction according to claim 1, characterized in that: The reminder module includes: The vehicle warning unit is used to warn the driver about the location of the vehicle's blind spots, and the driver can increase their attention to thinking and judgment while driving based on the received warning. Other vehicle warning unit, the other vehicle warning unit records the time of warning for the same blind spot, the other vehicle warning unit locates and marks the vehicle corresponding to the blind spot with excessive warning time; The other vehicle warning unit sends warning reminders to the located and marked vehicles through the interaction unit.

6. The vehicle and road blind spot warning system based on data interaction according to claim 1, characterized in that: The analysis unit detects and analyzes environmental data and blind spot locations. The analysis unit provides a warning signal for environmental data that intrudes into the blind spot. After receiving the warning signal, the reminder module issues a warning to the driver.

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