Blind zone early warning device

Abstract

The utility model relates to a blind area early warning device, and belongs to the technical field of traffic. The road traffic early warning system comprises an AI algorithm camera which is used for monitoring the moving direction of a target object and can judge whether the target object is in a delimited early warning area, and a roadside early warning lamp and a buried early warning lamp which are used for warning traffic participants and can prompt a driver that a moving object is close to an intersection, the display screen is used for prompting traffic participants and displaying text information, and the roadside early warning lamp, the buried early warning lamp and the display screen are all in wireless connection or linear connection with the AI algorithm camera. The blind area early warning device detects and tracks pedestrians and vehicles through the computer vision technology, judges whether the pedestrians and the vehicles cross the road or not and sends out warning signals in time, the safety of the pedestrians crossing the road can be improved, and the risk of traffic accidents is reduced.

Description

Technical Field

[0001] The utility model relates to a blind spot warning device and belongs to the technical field of traffic. Background Art

[0002] In urban traffic scenarios, pedestrian crossing safety is very important. The current road traffic system often has monitoring blind spots, making it difficult to detect pedestrians crossing the road in time. When moving objects in different directions move towards the intersection at the same time, they will collide at the intersection, increasing the risk of traffic accidents. Utility Model Content

[0003] The purpose of the utility model is to overcome the above-mentioned deficiencies in the prior art and to provide a blind spot warning device with a reasonable structural design.

[0004] The technical solution adopted by the utility model to solve the above-mentioned problem is: the blind spot warning device has the structural characteristics of: including an AI algorithm camera for monitoring the movement direction of the target object and determining whether the target object is in the designated warning area, and a roadside warning light for warning traffic participants and reminding the driver that a moving object is approaching the intersection, and the roadside warning light is wirelessly or linearly connected to the AI ​​algorithm camera.

[0005] Furthermore, it also includes an underground warning light for warning traffic participants and reminding the driver that a moving object is approaching an intersection. The underground warning light is wirelessly or linearly connected to the AI ​​algorithm camera.

[0006] Furthermore, it also includes a display screen for prompting traffic participants and displaying text information, and the display screen is wirelessly or linearly connected to the AI ​​algorithm camera.

[0007] Furthermore, another technical purpose of the present utility model is to provide another blind spot warning device.

[0008] The above technical objectives of the present utility model are achieved through the following technical solutions.

[0009] Another blind spot warning device has the structural characteristics of comprising a monitoring mechanism and a roadside warning light for warning traffic participants and reminding the driver that a moving object is approaching an intersection, wherein the roadside warning light is wirelessly or linearly connected to the monitoring mechanism.

[0010] Furthermore, it also includes an underground warning light for warning traffic participants and reminding the driver that a moving object is approaching the intersection. The underground warning light is wirelessly or linearly connected to the monitoring mechanism.

[0011] Furthermore, it also includes a display screen for prompting traffic participants and displaying text information, and the display screen is wirelessly or linearly connected to the monitoring mechanism.

[0012] Furthermore, the monitoring mechanism may also be a millimeter wave radar or a laser radar.

[0013] Compared with the existing technology, the utility model has the following advantages: the blind spot warning device detects and tracks pedestrians and vehicles through computer vision technology, determines whether they are crossing the road, and sends out warning signals in time, which can improve the safety of pedestrians crossing the road and reduce the risk of traffic accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 The utility model is a schematic diagram of a blind spot warning device used in a zebra crossing warning.

[0015] Figure 2 It is a schematic diagram of the blind spot warning device of an embodiment of the utility model applied to an intersection warning.

[0016] Figure 3 The utility model is a schematic diagram of a blind spot warning device used in a T-junction.

[0017] Figure 4 It is a schematic diagram of a blind spot warning for a vehicle turning right according to an embodiment of the utility model.

[0018] Figure 5 yes Figure 4 The diagram of the blind spot warning for right turns of vehicles with Zone 2 removed. Zone 4 is surrounded by the blue dotted line.

[0019] Figure 6 yes Figure 4 The diagram of the blind spot warning for right turns of vehicles with Zone 1 removed. The red dotted line in the figure is Zone 2.

[0020] Figure 7 It is a schematic diagram of the traffic light mode at the intersection according to an embodiment of the utility model.

[0021] In the picture: AI algorithm camera 1, roadside warning light 2, underground warning light 3, traffic light 4, and cross frame 5. DETAILED DESCRIPTION

[0022] The present invention will be further described in detail below with reference to the accompanying drawings and through examples. The following examples are provided to explain the present invention, but the present invention is not limited to the following examples.

[0023] Example

[0024] See also Figures 1 to 7As shown, it should be noted that the structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification for people familiar with this technology to understand and read, and are not used to limit the limiting conditions for the implementation of the utility model, so they have no substantial technical significance. Any modification of the structure, change of the proportional relationship or adjustment of the size, without affecting the effects and purposes that can be achieved by the utility model, should still fall within the scope of the technical content disclosed by the utility model. At the same time, if there are references to terms such as "upper", "lower", "left", "right", "middle" and "one" in this specification, they are only for the convenience of description, and are not used to limit the scope of the implementation of the utility model. The change or adjustment of their relative relationship, without substantially changing the technical content, should also be regarded as the scope of the implementation of the utility model.

[0025] The blind spot warning device in this embodiment includes an AI algorithm camera 1 for monitoring the movement direction of a target object and determining whether the target object is in a designated warning area, a roadside warning light 2 and an underground warning light 3 for warning traffic participants and reminding the driver that a moving object is approaching an intersection, and a display screen for reminding traffic participants and displaying text information. The roadside warning light 2, the underground warning light 3 and the display screen are all wirelessly or linearly connected to the AI ​​algorithm camera 1.

[0026] like Figure 1 As shown, the blind spot warning device is applied to zebra crossing warning as follows:

[0027] 1. When a pedestrian enters from area 0: roadside warning light 2A and roadside warning light 2B light up; when the pedestrian leaves area 0 and enters area 1: roadside warning light 2A goes out and roadside warning light 2B continues to light up; when the pedestrian leaves area 1: roadside warning light 2B also goes out.

[0028] 2. When a pedestrian enters area 2: roadside warning light 2A and roadside warning light 2B light up; when the pedestrian leaves area 2 and enters area 3: roadside warning light 2B goes out and roadside warning light 2A continues to light up; when the pedestrian leaves area 3: roadside warning light 2A also goes out.

[0029] 3. When a pedestrian enters from area 4: roadside warning lights 2C and 2D light up. When a pedestrian leaves area 4 and enters area 5: roadside warning lights 2C go out, but roadside warning lights 2D continue to light up.

[0030] When the pedestrian leaves area 5: the roadside warning light 2D also goes out.

[0031] 4. When a pedestrian enters from area 6: roadside warning light 2C and roadside warning light 2D light up; when the pedestrian leaves area 6 and enters area 7: roadside warning light 2D goes out and roadside warning light 2C continues to light up; when the pedestrian leaves area 7: roadside warning light 2C also goes out.

[0032] like Figure 2 As shown, the blind spot warning device is used for intersection warning as follows, and the left and right side markings are based on the direction of travel:

[0033] 1. AI algorithm camera 1 in the X-axis direction: When a moving object in area A approaches the intersection, the roadside warning lights 2 on the left side of area B and the right side of area D are activated. When a moving object in area C approaches the intersection, the roadside warning lights 2 on the right side of area B and the left side of area D are activated, and the underground warning lights 3 are also lit.

[0034] 2. AI algorithm camera 1 in the Y-axis direction: When a moving object in area B approaches the intersection, the roadside warning lights 2 on the right side of area A and the left side of area C are activated. When a moving object in area D approaches the intersection, the roadside warning lights 2 on the left side of area A and the right side of area C are activated, and the underground warning lights 3 are also lit.

[0035] That is to say, by using the AI ​​algorithm camera 1 arranged at the far end of the X and Y axis directions, the moving direction information of moving objects (pedestrians, vehicles, etc.) in the four designated areas A, B, C, and D is monitored, and the AI ​​algorithm is used to determine whether there is a risk of collision; if a moving object appears at an intersection in the X and Y axis directions at the same time, the system will issue a warning signal, and the underground warning light 3 and the roadside warning light 2 will issue a warning signal; if a moving object appears in only one of the areas and moves towards the intersection, the system will not alarm, and if a moving object appears in two areas on the same axis, the system will not alarm.

[0036] like Figure 3 As shown, the blind spot warning device is used in T-junction warning as follows: when a moving object in area A approaches the intersection, the roadside warning lights 2 on the left side of area A and the left side of the branch road are activated; when a moving object in area B approaches the intersection, the roadside warning lights 2 on the right side of area B and the right side of the branch road are activated; when a moving object on the branch road approaches the intersection, all roadside warning lights 2 on both sides of area AB are activated, and the underground warning lights 3 are also activated.

[0037] An AI algorithm camera 1 is installed at the far end of the non-motorized vehicle lane to delineate the area to be monitored and the direction of movement of moving objects (pedestrians, vehicles, etc.) in the set area, and the AI ​​algorithm is used to determine whether there is a collision risk; if a vehicle in the main lane needs to turn into a branch road, or a moving object on the branch road needs to turn into a non-motorized vehicle lane or a main road, and there is a moving object in the non-motorized vehicle lane approaching the intersection, the system sends out a warning signal, and the underground warning light 3 and the roadside warning light 2 send out a warning signal; if there is no moving object in area A and area B, or the moving direction of the moving object is facing away from or away from the intersection, the system does not alarm.

[0038] Another blind spot warning device includes a monitoring mechanism, a roadside warning light 2 and an underground warning light 3 for warning traffic participants and reminding the driver that a moving object is approaching an intersection, and a display screen for reminding traffic participants and displaying text information. The roadside warning light 2, the buried warning light 3 and the display screen are all wirelessly or linearly connected to the monitoring mechanism, and the monitoring mechanism is a millimeter wave radar or a lidar.

[0039] like Figure 4-6 As shown, the vehicle right turn blind spot warning scheme is as follows:

[0040] An AI algorithm camera 1 is installed at one end of the turning lane in the direction of vehicle front travel. The turning path is demarcated into area 1 for determining whether the vehicle has turning behavior. At the same time, area 2 is set in front of the turning area in the direction of vehicle front in area 1, which partially overlaps with area 1. Areas 3 and 4 are set to the left and right of area 1. The AI ​​algorithm camera 1 determines the travel direction of areas 3 and 4. The AI ​​algorithm camera 1, display screen, flashing light, directional speaker, directional antenna and other devices are installed on the cross frame 5.

[0041] The vehicle right turn blind spot warning logic is as follows:

[0042] If it is determined that a vehicle is turning in area 1, and there is a target object in area 2, and there are behaviors approaching area 1 in areas 3 and 4, as long as one of the thresholds in areas 2, 3, and 4 meets the alarm condition, the system will determine that there is a cross risk and issue an early warning through the alarm device. If only the threshold in area 1 is met, and none of the thresholds in areas 2, 3, and 4 meet the early warning condition individually or in any combination, the system will not issue an early warning. If only areas 2, 3, and 4, or any combination of these three areas, exist, and there is no alarm threshold in area 1, the system will not issue an alarm.

[0043] The components of the vehicle right turn blind spot warning alarm device are as follows:

[0044] 1. A horizontal frame is provided at a high position at the front end of the vehicle in the turning lane and is equipped with an AI device, such as an AI algorithm camera 1;

[0045] a. Installing large LED display screens is mainly used to display text information, such as danger, parking and other text information;

[0046] b. Install high-brightness flashing lights;

[0047] c. Install ultrasonic directional speakers for voice reminders. Ultrasonic directional radars arrange ultrasonic sound-emitting units according to the area where the sound needs to be transmitted, such as an angle of 25 degrees;

[0048] d. It is equipped with a directional image transmission antenna and uses hotspot transmission. When the vehicle passes through area 1 and the system determines that there is a turning behavior, the hotspot signal automatically connects to the display in the vehicle, and can wirelessly transmit the real-time image of the monitored area to the display installed in the vehicle, providing traffic participants with real-time images of the vehicle's surroundings. The display will be automatically turned off when the hotspot signal is lost after leaving area 1.

[0049] like Figure 7 As shown, the traffic light mode at the intersection has the following logic:

[0050] An AI algorithm camera 1 is installed in each of the XY axis directions. The far end of the AI ​​algorithm camera 1 in the X axis direction is zone 1, which is set to approach, and the near end is zone 2, which is set to stay away. The far end of the AI ​​algorithm camera 1 in the Y axis direction is zone 3, which is set to approach, and the near end is zone 4, which is set to stay away. Four traffic lights 4 are set at the XY axis intersection in a conventional mode.

[0051] When the XY axes trigger one or two thresholds respectively, all yellow lights or red lights will flash to remind traffic participants that there may be cross-risks and to take measures to avoid them in advance; if there is only one axis of the XY axes and this axis triggers both the approach and distance thresholds at the same time, all green lights will flash to remind traffic participants in the two directions relative to this axis to pay attention to the situation in the opposite direction; if there is only one axis of the XY axes and this axis only triggers one of the approach and distance thresholds, all green lights will be on; when no thresholds are triggered in either the XY axes, all green lights will be on.

[0052] In addition, it should be noted that the shapes and names of the parts and components of the specific embodiments described in this specification may be different, and the above content described in this specification is only an example of the structure of the utility model. All equivalent changes or simple changes made based on the structure, features and principles described in the patent concept of the utility model are included in the protection scope of the utility model patent. Technicians in the technical field of the utility model can make various modifications or supplements to the specific embodiments described or replace them in a similar manner, as long as they do not deviate from the structure of the utility model or exceed the scope defined by the claims, they should all fall within the protection scope of the utility model.

Claims

1. A blind spot warning device, characterized in that: It comprises an AI algorithm camera (1) for monitoring the direction of movement of a target object and determining whether the target object is in a designated warning area, and a roadside warning light (2) for alerting traffic participants and reminding the driver that a moving object is approaching an intersection, wherein the roadside warning light (2) is wirelessly or linearly connected to the AI ​​algorithm camera (1).

2. The blind spot warning device according to claim 1, characterized in that: It also includes an underground warning light (3) for warning traffic participants and alerting the driver that a moving object is approaching an intersection. The underground warning light (3) is wirelessly or linearly connected to the AI ​​algorithm camera (1).

3. The blind spot warning device according to claim 1, characterized in that: It also includes a display screen for prompting traffic participants and displaying text information, and the display screen is wirelessly or linearly connected to the AI ​​algorithm camera (1).

4. A blind spot warning device, characterized in that: It comprises a monitoring mechanism and a roadside warning light (2) for warning traffic participants and reminding the driver that a moving object is approaching an intersection. The roadside warning light (2) is wirelessly or linearly connected to the monitoring mechanism.

5. The blind spot warning device according to claim 4, characterized in that: It also includes an underground warning light (3) for warning traffic participants and reminding the driver that a moving object is approaching an intersection. The underground warning light (3) is wirelessly or linearly connected to the monitoring mechanism.

6. The blind spot warning device according to claim 4, characterized in that: It also includes a display screen for prompting traffic participants and displaying text information, and the display screen is wirelessly or linearly connected to the monitoring device.

7. The blind spot warning device according to claim 4, characterized in that: The monitoring mechanism is a millimeter wave radar or a laser radar.

Images