CN113188563A - Navigation method and system - Google Patents

Navigation method and system Download PDF

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Publication number
CN113188563A
CN113188563A CN202110421103.5A CN202110421103A CN113188563A CN 113188563 A CN113188563 A CN 113188563A CN 202110421103 A CN202110421103 A CN 202110421103A CN 113188563 A CN113188563 A CN 113188563A
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China
Prior art keywords
real
road condition
time road
module
image
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CN202110421103.5A
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Chinese (zh)
Inventor
柯锐
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Shanghai Pateo Network Technology Service Co Ltd
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Shanghai Pateo Network Technology Service Co Ltd
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Priority to CN202110421103.5A priority Critical patent/CN113188563A/en
Publication of CN113188563A publication Critical patent/CN113188563A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/36Input/output arrangements for on-board computers
    • G01C21/3626Details of the output of route guidance instructions
    • G01C21/365Guidance using head up displays or projectors, e.g. virtual vehicles or arrows projected on the windscreen or on the road itself

Abstract

The invention provides a navigation method and a system, wherein the navigation method comprises the following steps: under the condition that the terminal equipment is in the range of the preset area and communication connection is established with the corresponding data acquisition device in the range of the preset area, the target equipment acquires at least one piece of real-time road condition information corresponding to the range of the preset area transmitted by the data acquisition device; performing three-dimensional modeling according to at least one piece of real-time road condition information and map path data corresponding to a preset area range, and generating at least one frame of wide-angle navigation image corresponding to the preset area range, wherein each frame of wide-angle navigation image corresponds to one piece of real-time road condition information; the target equipment is a server or terminal equipment, and when the target equipment is the server, the server is in communication connection with the data acquisition device and the terminal equipment and transmits at least one frame of wide-angle navigation image to the terminal equipment. The invention can enable the driver to see the three-dimensional picture, improve the immersion feeling of the user, widen the driving visual field and ensure the driving safety.

Description

Navigation method and system
Technical Field
The invention relates to the technical field of computers, in particular to a navigation method and a navigation system.
Background
The driver can only see the traffic state in the dead ahead of the cab or within a certain range of the rearview mirror due to the limitation of the visual field of the cab in the driving process, and the driving safety is affected due to the fact that the visual angle is small and the blind area is large and the problem that the driver cannot avoid the driver in time when encountering emergency can occur.
Currently, in order to ensure driving safety, a Head Up Display (HUD) may be disposed on a vehicle to project images such as vehicle speed and navigation information on a screen above a windshield or a center console to assist a driver in driving the vehicle. However, the existing HUD has simple display content, the provided navigation information is not enough to provide a real road condition feeling for the driver, the user is difficult to judge the surrounding driving environment, and the driving safety cannot be ensured.
Disclosure of Invention
The embodiment of the invention provides a navigation method and a navigation system, which aim to solve the problems that driving safety is influenced due to limited visual field during driving and accurate road condition information is difficult to provide in the conventional driving assisting mode in the prior art.
In a first aspect, an embodiment of the present invention provides a navigation method, which is applied to a target device, where the target device is a terminal device or a server, and the method includes:
under the condition that the terminal equipment is located in a preset area range and communication connection is established with a corresponding data acquisition device in the preset area range, acquiring at least one piece of real-time road condition information corresponding to the preset area range transmitted by the data acquisition device;
performing three-dimensional modeling according to at least one piece of real-time road condition information and map path data corresponding to the preset area range, and generating at least one frame of wide-angle navigation image corresponding to the preset area range, wherein each frame of wide-angle navigation image corresponds to one piece of real-time road condition information;
when the target device is the server, the server is in communication connection with the data acquisition device and the terminal device, and transmits at least one frame of the wide-angle navigation image to the terminal device.
In a second aspect, an embodiment of the present invention provides a navigation system, where the navigation system includes: the system comprises a data acquisition device and terminal equipment, or comprises the data acquisition device, the terminal equipment and a server;
the data acquisition device is used for acquiring real-time road condition information corresponding to a preset area range;
the server is in communication connection with the data acquisition device and the terminal equipment;
under the condition that the terminal equipment is located in the preset area range and the communication connection is established with the data acquisition device, the terminal equipment or the server is used for: acquiring at least one piece of real-time road condition information transmitted by the data acquisition device, performing three-dimensional modeling according to the at least one piece of real-time road condition information and map path data corresponding to the preset area range, and generating at least one frame of wide-angle navigation image corresponding to the preset area range, wherein each frame of wide-angle navigation image corresponds to one piece of real-time road condition information;
and when the server acquires the real-time road condition information, transmitting at least one frame of the wide-angle navigation image to the terminal equipment.
According to the technical scheme of the embodiment of the invention, the target equipment is in communication connection with the data acquisition device, so that the real-time road condition information corresponding to the preset area range transmitted by the data acquisition device can be acquired, the three-dimensional modeling is carried out according to the real-time road condition information and the map path data corresponding to the preset area range, and the wide-angle navigation image corresponding to the preset area range is generated, so that the existing map navigation picture experience can be changed, a driver can see the three-dimensional picture, the immersion feeling of the user is improved, the driving visual field is widened, and the driving safety is ensured.
Drawings
Fig. 1 is a schematic view of a navigation method applied to a terminal device according to an embodiment of the present invention;
FIGS. 2a and 2b are schematic views of a navigation system according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a data acquisition device according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a data acquisition device and a terminal device according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a data acquisition device, a server, and a terminal device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
In various embodiments of the present invention, it should be understood that the sequence numbers of the following processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention. Plural in the embodiments of the present invention refers to two or more.
An embodiment of the present invention provides a navigation method, which is applied to a target device, where the target device is a terminal device or a server, and as shown in fig. 1, the method includes:
step 101, under the condition that the terminal device is in a preset area range and communication connection is established with a data acquisition device corresponding to the preset area range, acquiring at least one piece of real-time road condition information corresponding to the preset area range transmitted by the data acquisition device.
The navigation method provided by the embodiment of the invention can be applied to terminal equipment and a server, and the terminal equipment can be a vehicle-mounted terminal or a mobile terminal. Under the condition that the terminal equipment is located in the preset area range and communication connection is established with the data acquisition device corresponding to the preset area range, the terminal equipment or the server can acquire at least one piece of real-time road condition information corresponding to the preset area range transmitted by the data acquisition device. That is, the data acquisition device may transmit at least one piece of real-time traffic information corresponding to the preset area range to a certain terminal device or to the server under the condition that a communication connection is established with the terminal device. The preset area range is a signal coverage range corresponding to the data acquisition device. When the terminal device is a device which is allowed to be accessed by the data acquisition device, the terminal device can establish communication connection with the data acquisition device.
The server is in communication connection with the data acquisition device and the terminal device, and the data acquisition device can directly transmit at least one piece of real-time road condition information corresponding to the preset area range to the terminal device or transmit at least one piece of real-time road condition information corresponding to the preset area range to the server based on the communication connection with the terminal device.
The data acquisition device acquires and reports road condition information in real time, the terminal equipment or the server can receive at least one piece of real-time road condition information transmitted by the data acquisition device, and when the data acquisition device transmits a plurality of pieces of real-time road condition information, the plurality of pieces of real-time road condition information are sequentially transmitted. The real-time road condition information acquired by the data acquisition device can be presented in an image form, the data acquisition device can comprise a plurality of image collectors, the image collectors can be cameras, and different monitoring angles and monitoring distances of the cameras are different, for example, a monitoring camera with a lens size of 4mm is used, the monitoring angle is 69.9 degrees, and the monitoring distance is within ten meters; the monitoring camera with the lens size of 6mm has a monitoring angle of 50 degrees and a monitoring distance of about fifteen meters; the monitoring camera with the lens size of 8mm has a monitoring angle of 38.5 degrees and a monitoring distance of about twenty-five meters; the monitoring camera with the lens size of 12mm has a monitoring angle of 26.2 degrees and a monitoring distance of about thirty-five meters; the monitoring camera with the lens size of 16mm has the monitoring angle of 19.8 degrees and the monitoring distance of about forty meters. Optionally, a plurality of image collectors may work synchronously. For the data acquisition device, the acquisition of the image can be completed once through the image acquisition device, that is, the uploading action is triggered, and the uploading action can also be triggered according to a specific frequency, for example, the uploading is once every 50 milliseconds and 100 milliseconds, so that the real-time performance of road condition information transmission is ensured, and the terminal equipment can receive real-time data.
And 102, performing three-dimensional modeling according to at least one piece of real-time road condition information and map path data corresponding to the preset area range, and generating at least one frame of wide-angle navigation image corresponding to the preset area range, wherein each frame of wide-angle navigation image corresponds to one piece of real-time road condition information.
After receiving the real-time road condition information transmitted by the data acquisition device, the terminal device or the server may perform stereo modeling according to the received at least one piece of real-time road condition information and the map path data corresponding to the preset area range, and generate at least one frame of wide-angle navigation image corresponding to the preset area range by performing stereo modeling, where each piece of real-time road condition information may correspond to one frame of wide-angle navigation image, and an angle range corresponding to the wide-angle navigation image is preferably 94 degrees to 118 degrees. For example, generating a wide-angle 3D navigation image is achieved by Unity3D modeling.
And aiming at the condition that the target equipment is the server, after the server generates at least one frame of wide-angle navigation image corresponding to the preset area range, the server transmits the at least one frame of wide-angle navigation image to the terminal equipment based on the communication connection between the server and the terminal equipment. The server can receive real-time road condition information associated with the plurality of terminal devices, and the real-time road condition information can carry receiving identifications (namely device identifications of the terminal devices), so that the server can transmit the generated wide-angle navigation images to the corresponding terminal devices according to the receiving identifications. When the data acquisition device establishes communication connection with the terminal equipment, the equipment identification of the terminal equipment can be obtained. Correspondingly, for the situation that the target device is the terminal device, the terminal device may also determine whether the received real-time traffic information is correct according to the receiving identifier. The terminal equipment can display after generating or receiving at least one frame of wide-angle navigation image, changes the existing map navigation picture experience, enables a driver to see a three-dimensional picture, and improves the immersion of the user.
When the terminal equipment or the server carries out three-dimensional modeling according to a plurality of pieces of real-time road condition information and map path data corresponding to a preset area range, three-dimensional modeling can be carried out by combining the map path data for each piece of real-time road condition information, a corresponding frame of wide-angle navigation image is generated, the wide-angle navigation image can be displayed at the terminal equipment after being generated, and because a plurality of frames of wide-angle navigation images can be generated according to a plurality of pieces of real-time road condition information, a wide-angle navigation animation can be generated based on the plurality of frames of wide-angle navigation images, the presentation of the three-dimensional animation is guaranteed, the driving experience of a user is improved, and the driving safety is guaranteed.
In the implementation process of the invention, the real-time road condition information corresponding to the preset area range transmitted by the data acquisition device is acquired, the three-dimensional modeling is carried out according to the real-time road condition information and the map path data corresponding to the preset area range, and the wide-angle navigation image corresponding to the preset area range is generated, so that the existing map navigation image experience can be changed, a driver can see the three-dimensional image, the immersion feeling of the user is improved, the driving visual field is widened, and the driving safety is ensured.
In an optional embodiment of the present invention, when the terminal device is located in the preset area range and does not establish a communication connection with the data acquisition device corresponding to the preset area range, the method further includes:
sending a connection establishment request carrying the equipment identifier corresponding to the terminal equipment to the data acquisition device;
receiving a connection establishment response fed back by the data acquisition device, and establishing communication connection with the data acquisition device according to the connection establishment response;
and when the equipment identifier carried by the connection establishment request is positioned in an allowed access list corresponding to the data acquisition device, the data acquisition device feeds back the connection establishment response.
When the terminal device establishes a communication connection with the data acquisition device, the method specifically may be: when the terminal equipment enters the signal coverage range corresponding to the data acquisition device, the connection establishment request carrying the equipment identifier corresponding to the terminal equipment can be automatically sent to the data acquisition device, prompt information can also be output, and the connection establishment request is sent to the data acquisition device according to the confirmation operation of a user on the prompt information.
After receiving a connection establishment request sent by a terminal device, a data acquisition device can extract a device identifier corresponding to the terminal device in the connection establishment request, then detect whether the device identifier corresponding to the terminal device is in an allowed access list, and if the device identifier corresponding to the terminal device is in the allowed access list, determine that the terminal device is a device allowed to be accessed, at this moment, the terminal device can be allowed to be connected with the data acquisition device, and the data acquisition device feeds back a connection establishment response to the terminal device.
And after receiving the connection establishment response fed back by the data acquisition device, the terminal equipment establishes communication connection with the data acquisition device. If the terminal equipment does not receive a connection establishment response or receives rejection information fed back by the data acquisition device within a period of time after sending the connection establishment request, determining that the data acquisition device does not allow the terminal equipment to access, and at the moment, the terminal equipment cannot establish communication connection with the data acquisition device.
In the implementation process of the invention, the data acquisition device sends the connection establishment request carrying the device identifier corresponding to the terminal device to the data acquisition device, the data acquisition device authenticates the terminal device according to the device identifier corresponding to the terminal device, and feeds back the connection establishment response to the terminal device under the condition that the authentication is passed, and the terminal device communicates with the data acquisition device according to the received connection establishment response, so that the data acquisition device can be ensured to communicate with the devices in the allowed access list, and the rigor of communication is ensured.
In an optional embodiment of the present invention, the acquiring at least one piece of real-time traffic information corresponding to a preset area range transmitted by the data acquisition device includes:
receiving at least one piece of real-time road condition information transmitted by the data acquisition device through spread spectrum microwave communication or wireless network bridge communication;
and under the condition that the number of the real-time road condition information is at least two, receiving the at least two real-time road condition information sequentially transmitted by the data acquisition device.
The terminal device or the server can establish spread spectrum microwave communication or wireless network bridge communication with the data acquisition device, namely, the communication with the data acquisition device is realized based on the spread spectrum microwave access technology or the bridging of the wireless network bridge (a bridge for setting up communication between two or more networks by utilizing a wireless transmission mode).
The wireless bridge is a product combining a wireless radio frequency technology and a traditional wired bridge technology, is designed for point-to-point internetworking for performing remote data transmission by using wireless (microwave), is a store-and-forward device for realizing Local Area Network (LAN) interconnection at a link layer, and can be used for remote (up to 50Km) and high-speed (up to hundreds of megabps) wireless networking between fixed digital equipment and other fixed digital equipment. Both spread spectrum microwave and wireless bridge technologies can be used to transmit large data volume signal transmission services such as video surveillance and the like with higher bandwidth requirements.
After the spread spectrum microwave communication or the wireless bridge communication is established with the data acquisition device, the real-time road condition information transmitted by the data acquisition device can be received based on the spread spectrum microwave communication or the wireless bridge communication.
When the terminal equipment establishes communication connection with the corresponding data acquisition device in the preset area range, spread spectrum microwave communication or wireless network bridge communication can be established. The data acquisition device can transmit the real-time road condition information to the terminal equipment or the server.
According to the implementation process, the real-time road condition information transmitted by the data acquisition device is received based on spread spectrum microwave communication or wireless network bridge communication, so that effective data transmission based on a reasonable communication mode can be ensured, and two communication modes are provided for selection, so that the communication modes are enriched.
In an optional embodiment of the present invention, the real-time traffic information is generated by compressing the acquired real-time traffic image by the data acquisition device using a compression algorithm;
after the real-time traffic information is acquired, the method further comprises the following steps:
and decompressing the real-time road condition information to obtain a corresponding real-time road condition image.
After the data acquisition device acquires the real-time road condition image, a data source (the real-time road condition image) can be compressed by a compression algorithm (such as Snapy, FastLZ, LZO (Lempel-Ziv-Oberhumer)/miniLZO and the like) to generate real-time road condition information, and the transmission efficiency of the real-time road condition information can be ensured by compressing the data source by the compression algorithm. After receiving the real-time traffic information, the terminal device or the server may decompress the real-time traffic information by using a corresponding decompression algorithm to obtain a real-time traffic image acquired by the data acquisition device. The real-time traffic information may be in a file format named by a hash value without suffix, and the decompressed real-time traffic image may be in a JPG (joint navigation group) common file format.
For the data acquisition device, for each acquisition, the real-time road condition images are acquired through the plurality of image collectors, and the real-time road condition images are compressed to generate real-time road condition information and transmitted to the terminal equipment or the server. The real-time road condition image processing method based on the image acquisition device comprises the steps that synchronous shooting can be set for a plurality of image collectors, the data acquisition device acquires real-time road condition images shot by each image collector after each image collector executes shooting, then compression processing is carried out, image splicing can also be carried out after the real-time road condition images shot by each image collector are acquired, then the spliced images are compressed and transmitted to terminal equipment, when image splicing is carried out, splicing processing can be carried out based on overlapping areas of the images, and the fact that real road conditions are restored is achieved.
The terminal device or the server decompresses the received real-time road condition information, and can acquire the real-time road condition image acquired by each image acquisition device transmitted by the data acquisition device at this time and also can acquire the spliced image transmitted by the data acquisition device.
In the implementation process of the invention, the data acquisition device compresses the real-time road condition image by adopting a compression algorithm, and transmits the real-time road condition information generated after compression to the terminal equipment or the server, so that the transmission efficiency can be ensured.
In an optional embodiment of the present invention, the performing three-dimensional modeling according to at least one piece of real-time traffic information and the map path data corresponding to the preset area range to generate at least one frame of wide-angle navigation image corresponding to the preset area range includes:
and performing three-dimensional modeling by adopting a preset modeling algorithm according to the real-time road condition image corresponding to the real-time road condition information and the map path data aiming at each received real-time road condition information to generate the wide-angle navigation image.
The real-time road condition information received by the terminal equipment or the server is generated by compressing the acquired real-time road condition image by the data acquisition device by adopting a compression algorithm, and after the real-time road condition information is acquired, the real-time road condition information can be decompressed to acquire the corresponding real-time road condition image.
When the three-dimensional modeling is performed according to the real-time road condition information and the map path data corresponding to the preset area range, the three-dimensional modeling may be performed as follows: and for each piece of real-time road condition information, according to the real-time road condition image corresponding to the current real-time road condition information and the map path data corresponding to the preset area range, performing three-dimensional modeling by adopting a preset modeling algorithm (such as Unity3d) to generate a wide-angle navigation image corresponding to the current real-time road condition information. The server generates the wide-angle navigation image and then transmits the wide-angle navigation image to the terminal equipment, and the terminal equipment can display the wide-angle navigation image after generating or receiving the wide-angle navigation image so as to ensure that the road condition information is displayed on the terminal equipment side. The stereo modeling based on the preset modeling algorithm belongs to the prior art and is not described herein again.
For the terminal device or the server, the wide-angle navigation animation can be generated because the plurality of pieces of real-time road condition information can be received and the corresponding wide-angle navigation image can be determined for each piece of real-time road condition information, and the terminal device can display the plurality of wide-angle navigation images in sequence according to the time sequence, so that the display of the three-dimensional animation is realized, the driving experience of a user is improved, and the driving safety is ensured.
The implementation process of the invention can change the experience of the existing map navigation picture, so that a driver can see the three-dimensional picture, the immersion of the user is improved, the driving visual field is widened, and the driving safety is ensured.
In an optional embodiment of the present invention, when the target device is the server and the real-time traffic information is at least two, when the wide-angle navigation image is transmitted, the method further includes:
and transmitting at least two frames of the wide-angle navigation images to the terminal equipment in sequence based on the generation sequence of the wide-angle navigation images so as to enable the terminal equipment to display the wide-angle navigation animation comprising the at least two frames of the wide-angle navigation images.
For the case that the target device is a server, if the server receives at least two pieces of real-time road condition information in sequence, when the wide-angle navigation image is transmitted, the server may transmit at least two frames of wide-angle navigation images to the terminal device in sequence based on a time sequence (a generation sequence of the at least two frames of wide-angle navigation images), which may be understood as that the server transmits the corresponding wide-angle navigation image to the terminal device after generating the corresponding wide-angle navigation image for each piece of real-time road condition information (a corresponding wide-angle navigation image is generated every time one piece of real-time road condition information is received), so that the terminal device receives the at least two frames of wide-angle navigation images in sequence based on the time sequence, and displays the at least two frames of wide-angle navigation images on the side of the terminal device in sequence, so that the terminal device displays a wide-angle navigation animation including the at least two frames of wide-angle navigation images.
Correspondingly, under the condition that the target device is the terminal device and the real-time traffic information is at least two, the method further comprises the following steps:
sequentially displaying at least two frames of the wide-angle navigation images based on the generation sequence of the wide-angle navigation images;
and at least two frames of the wide-angle navigation images form a wide-angle navigation animation.
For the condition that the target device is a terminal device, under the condition that at least two pieces of real-time road condition information are sequentially received, a corresponding frame of wide-angle navigation image can be generated for each piece of received real-time road condition information, and a corresponding wide-angle navigation image can be generated every time one piece of real-time road condition information is received. The terminal device can sequentially display the generated at least two frames of wide-angle navigation images based on the time sequence, and the terminal device can display the wide-angle navigation animation comprising the at least two frames of wide-angle navigation images.
According to the implementation process, the wide-angle navigation animation is displayed on the terminal equipment side according to the plurality of pieces of real-time road condition information, so that a driver can see the three-dimensional animation, the immersion feeling of the user is improved, the driving visual field is widened, and the driving safety is ensured.
In an optional embodiment of the present invention, after decompressing the real-time traffic information and acquiring the corresponding real-time traffic image, the method further includes:
analyzing the real-time road condition image or the real-time road condition image and the map path data based on an Artificial Intelligence (AI) model, and predicting the probability of traffic accidents in the preset area range;
generating early warning prompt information under the condition that the probability of the traffic accident in the preset area range is greater than a preset probability threshold;
the server generates early warning prompt information, and transmits the early warning prompt information to the terminal equipment so that the terminal equipment outputs the early warning prompt information; and outputting the early warning prompt information under the condition that the terminal equipment generates the early warning prompt information.
The terminal device or the server may be integrated with an Artificial Intelligence (AI) model, and after acquiring the real-time traffic information and decompressing the real-time traffic information to acquire the real-time traffic image, the real-time traffic image may be analyzed based on the AI model, that is, the real-time traffic image may be input to the AI model and analyzed by the AI model to predict the probability of the occurrence of the traffic accident within the preset area range, or the real-time traffic image and the map path data may be input to the AI model together and analyzed by the AI model to predict the probability of the occurrence of the traffic accident within the preset area range.
It should be noted that, the data acquisition device sends the traffic information in real time, and then the terminal device or the server can receive at least one piece of real-time traffic information, and for each piece of real-time traffic information, after decompressing and acquiring the corresponding real-time traffic image, the real-time traffic image can be input into the AI model, or the real-time traffic image and the map path data can be input into the AI model, so as to predict the probability of occurrence of a traffic accident for each received real-time traffic information, and realize the real-time performance of risk prediction, thereby ensuring the driving safety.
The AI model can detect whether the probability of the traffic accident occurring in the preset area range is greater than a preset probability threshold value or not after the probability of the traffic accident occurring in the preset area range is obtained for each prediction of the AI model, and if so, the terminal device or the server can generate early warning prompt information according to the condition that the probability of the traffic accident occurring in the preset area range is greater than the preset probability threshold value. The server can send the early warning prompt information to the terminal device after generating the early warning prompt information (the server can accurately send the early warning prompt information to the corresponding terminal device because the real-time road condition information carries the receiving identification), and the terminal device can output the early warning prompt information after receiving the early warning prompt information or generating the early warning prompt information. The output mode of the early warning prompt information includes but is not limited to voice output and/or text input, namely the output of the early warning prompt information can be realized by playing prompt voice, and/or the output of the early warning prompt information is realized by displaying prompt text.
In the implementation process of the invention, risk prediction is carried out in real time based on the AI model, and when the probability of traffic accidents occurring in the preset area range is predicted to be greater than the preset probability threshold value, the terminal equipment outputs early warning prompt information for early warning, so that the driving safety can be ensured.
In the implementation process of the navigation method provided by the embodiment of the invention, the real-time road condition information corresponding to the preset area range transmitted by the data acquisition device can be acquired by establishing communication connection with the data acquisition device, and the wide-angle navigation image corresponding to the preset area range is generated by performing three-dimensional modeling according to the real-time road condition information and the map path data corresponding to the preset area range, so that the existing map navigation picture experience can be changed, a driver can see the three-dimensional picture, the immersion feeling of the user is improved, the driving view field is widened, and the driving safety is ensured.
Furthermore, the communication between the terminal equipment and the data acquisition device is established through authentication based on the data acquisition device, so that the communication between the data acquisition device and the equipment which is allowed to be accessed into the list can be ensured, and the rigor of the communication is ensured; the real-time road condition information transmitted by the data acquisition device is received based on spread spectrum microwave communication or wireless network bridge communication, so that effective data transmission based on a reasonable communication mode can be ensured; transmission efficiency can be ensured by receiving compressed data; driving safety can be improved by risk prediction based on the AI model.
An embodiment of the present invention further provides a navigation system, as shown in fig. 2a and 2b, the navigation system includes: the data acquisition device 21 and the terminal device 22, or the data acquisition device 21, the terminal device 22 and the server 23 are included;
the data acquisition device 21 is used for acquiring real-time road condition information corresponding to a preset area range;
the server 23 is in communication connection with the data acquisition device 21 and the terminal equipment 22;
under the condition that the terminal device 22 is located in the preset area range and establishes a communication connection with the data acquisition device 21, the terminal device 22 or the server 23 is configured to: acquiring at least one piece of real-time road condition information transmitted by the data acquisition device 21, performing three-dimensional modeling according to the at least one piece of real-time road condition information and map path data corresponding to the preset area range, and generating at least one frame of wide-angle navigation image corresponding to the preset area range, wherein each frame of the wide-angle navigation image corresponds to one piece of real-time road condition information;
when the server 23 acquires the real-time traffic information, at least one frame of the wide-angle navigation image is transmitted to the terminal device 22.
The navigation system provided by the embodiment of the invention comprises a data acquisition device 21 and a terminal device 22, or comprises the data acquisition device 21, the terminal device 22 and a server 23, wherein the data acquisition device 21 is used for acquiring the corresponding real-time road condition information in the preset area range, and the data acquisition device 21 acquires and reports the road condition information in real time. Under the condition that the terminal device 22 is within the preset area range and establishes the communication connection with the data acquisition device 21, the terminal device 22 or the server 23 may receive a plurality of pieces of real-time traffic information corresponding to the preset area range transmitted by the data acquisition device 21.
After receiving the real-time traffic information transmitted by the data acquisition device 21, the terminal device 22 or the server 23 may perform stereo modeling according to the received at least one piece of real-time traffic information and the map path data corresponding to the preset area range, and generate at least one frame of wide-angle navigation image corresponding to the preset area range by performing stereo modeling.
In the case that the navigation system does not include the server 23, the data acquisition device 21 transmits the real-time traffic information to the terminal device 22, in the case that the navigation system includes the server 23, the data acquisition device 21 may transmit the real-time traffic information to any one of the terminal device 22 and the server 23, and preferably, the data acquisition device 21 transmits the real-time traffic information to the server 23.
When performing the stereo modeling according to the real-time traffic information and the map path data corresponding to the preset area range, the terminal device 22 or the server 23 may perform the stereo modeling by combining the map path data with respect to each piece of real-time traffic information, so as to generate a corresponding frame of wide-angle navigation image. For the case where the server 23 generates the wide-angle navigation image, the generated wide-angle navigation image may be transmitted to the terminal device 22, and the terminal device 22 displays the generated or received wide-angle navigation image. When the terminal device 22 or the server 23 generates the multi-frame wide-angle navigation image according to the real-time road condition information, the wide-angle navigation animation can be generated based on the multi-frame wide-angle navigation image, so that the stereoscopic animation can be presented at the terminal device side, the driving experience of the user can be improved, and the driving safety can be ensured.
According to the navigation system, the real-time road condition information corresponding to the preset area range is acquired through the data acquisition device, the terminal device or the server carries out three-dimensional modeling according to the real-time road condition information and the map path data corresponding to the preset area range, the wide-angle navigation image corresponding to the preset area range is generated, the existing map navigation picture experience can be changed, a driver can see the three-dimensional picture, the immersion sense of the user is improved, the driving view field is widened, and the driving safety is guaranteed.
In an alternative embodiment of the present invention, as shown in fig. 2a, 2b and 3, the data acquisition device 21 includes:
a plurality of image collectors 211 for collecting real-time road condition images;
the image processing module 212 is connected with the plurality of image collectors 211 and integrates a compression algorithm, and the image processing module 212 is configured to receive the real-time traffic status image and compress the real-time traffic status image to generate the real-time traffic status information; and
the first communication module 213 supports spread spectrum microwave communication or wireless bridge communication, the image processing module 212 is connected to the first communication module 213, and the first communication module 213 acquires the real-time traffic information generated by the image processing module 212 and transmits the real-time traffic information to the terminal device 22 or the server 23 through the spread spectrum microwave communication or wireless bridge communication;
the image collectors 211 report the real-time traffic status image at least once, the image processor 212 generates real-time traffic status information for each report, and the first communication module 213 transmits each piece of real-time traffic status information to the terminal device 22 or the server 23 in real time.
The data acquisition device 21 includes a plurality of image collectors 211, wherein the image collectors 211 may be cameras, and the shooting ranges corresponding to the plurality of image collectors 211 are different, so as to ensure that a large-scale view can be obtained through the plurality of image collectors 211. The plurality of image collectors 211 are connected to the image processing module 212, the image collectors 211 transmit the collected real-time traffic status images to the image processing module 212, the image processing module 212 completes one image collection after receiving the real-time traffic status images reported by each image collector 211 (in principle, one frame of real-time traffic status image uploaded by each image collector 211 is received, and the next receiving is started after one receiving is completed), and at this time, the real-time traffic status images reported by each image collector 211 can be compressed to generate real-time traffic status information for the current collection, or the real-time traffic status images reported by each image collector 211 can be spliced and then compressed to generate real-time traffic status information. The image processing module 212 transmits the real-time traffic information to the first communication module 213.
The first communication module 213 supports spread spectrum microwave communication or wireless bridge communication, and after acquiring the real-time traffic information generated by the image processing module 212, the first communication module 213 transmits the real-time traffic information to the terminal device 22 or the server 23 through the spread spectrum microwave communication or wireless bridge communication.
Since the plurality of image collectors 211 report the real-time traffic information at least once, the image processor module 212 may generate real-time traffic information for each report of the plurality of image collectors 211, and send the generated real-time traffic information to the first communication module 213 in real time, and the first communication module 213 transmits the received real-time traffic information to the terminal device 22 or the server 23 in real time, so as to transmit the real-time traffic information.
The data acquisition device can ensure effective data transmission based on a reasonable communication mode by transmitting real-time road condition information based on spread spectrum microwave communication or wireless network bridge communication; transmission efficiency can be ensured by transmitting compressed data.
In an alternative embodiment of the present invention, as shown in fig. 4 and 5, the terminal device 22 includes: a second communication module 221, a first decompression module 222, a first processing module 223, a first prompting module 224 integrating an artificial intelligence AI model, a display module 225, an output module 226 and a fifth communication module 227, wherein the second communication module 221 is connected with the first communication module 213;
the server 23 includes: a third communication module 231, a second decompression module 232, a second processing module 233, a second prompt module 234 integrated with an artificial intelligence AI model, and a fourth communication module 235, wherein the third communication module 231 is connected to the first communication module 213, and the fourth communication module 235 is connected to the fifth communication module 227;
when the number of the real-time traffic information is at least two, the terminal device 22 or the server 23 receives the at least two pieces of real-time traffic information sequentially transmitted by the data acquisition device 21.
As shown in fig. 4, the second communication module 221 is connected to the first decompressing module 222, the first decompressing module 222 is connected to the first processing module 223 and the first prompting module 224, the first processing module 223 is connected to the display module 225, and the first prompting module 224 is connected to the output module 226; under the condition that the terminal device 22 acquires at least one piece of real-time road condition information transmitted by the data acquisition device 21; the second communication module 221 receives at least one piece of real-time traffic information transmitted by the first communication module 213 through spread spectrum microwave communication or wireless bridge communication;
the first decompressing module 222 receives the real-time traffic information and decompresses each piece of the real-time traffic information to obtain a corresponding real-time traffic image through the connection with the second communication module 221;
the first processing module 223 is connected to the first decompressing module 222 to receive the real-time traffic image corresponding to each piece of real-time traffic information, and for the received real-time traffic image corresponding to each piece of real-time traffic information, the first processing module combines the map path data to perform stereo modeling by using a preset modeling algorithm to generate the wide-angle navigation image;
the first prompt module 224 is connected to the first decompression module 222 to receive a real-time traffic image corresponding to each piece of real-time traffic information, analyze the real-time traffic image corresponding to each piece of real-time traffic information or the real-time traffic image corresponding to each piece of real-time traffic information and the map path data based on the AI model, predict the probability of a traffic accident occurring within the preset area range, and generate an early warning prompt message when the probability of the traffic accident occurring within the preset area range is greater than a preset probability threshold;
the display module 225 is connected to the first processing module 223, receives and displays at least one frame of the wide-angle navigation image, and displays a wide-angle navigation animation including at least two frames of the wide-angle navigation image when the wide-angle navigation image is at least two frames;
the output module 226 acquires and outputs the warning prompt information through the connection with the first prompt module 224.
The terminal device 22 may be a vehicle-mounted terminal or a mobile terminal, and the terminal device 22 includes a second communication module 221, a first decompression module 222, a first processing module 223, a first prompt module 224, a display module 225, and an output module 226. The second communication module 221 is connected to the first communication module 213, and can receive the real-time traffic information sent by the first communication module 213, and the second communication module 221 supports spread spectrum microwave communication or wireless bridge communication, and the communication mode of the second communication module 221 is the same as that of the first communication module 213. The second communication module 221 is configured to receive the real-time traffic information transmitted by the first communication module 213 through spread spectrum microwave communication or wireless bridge communication.
The first decompressing module 222 is connected to the second communication module 221, and is configured to receive at least one piece of real-time traffic information transmitted by the second communication module 221, and for each piece of received real-time traffic information, it may decompress to obtain a corresponding real-time traffic image.
The first processing module 223 is connected to the first decompressing module 222, and configured to perform, for the received real-time traffic image corresponding to each piece of real-time traffic information, stereo modeling according to the real-time traffic image corresponding to the real-time traffic information and the map path data corresponding to the preset area range by using a preset modeling algorithm (e.g., Unity3d) to generate a wide-angle navigation image corresponding to the current real-time traffic information. When the real-time road condition images corresponding to the plurality of pieces of real-time road condition information are received, the multi-frame wide-angle navigation image can be generated. First processing module 223 connects display module 225, and display module 225 is used for showing at least one frame wide angle navigation image, and when showing multiframe wide angle navigation image, wide angle navigation image shows in proper order and can form wide angle navigation animation, realizes presenting three-dimensional animation, promotes user's driving experience, guarantees driving safety. When the terminal equipment is a vehicle-mounted terminal, the display of the wide-angle navigation animation can be realized at the vehicle end, and when the terminal equipment is a mobile terminal, the display of the wide-angle navigation animation can be realized at the mobile terminal.
The first prompt module 224 is connected to the first decompression module 222, and the first prompt module 224 can integrate an AI model, after the first decompression module 222 decompresses the real-time traffic information, a real-time traffic image corresponding to the real-time traffic information can be acquired, the real-time traffic image is input into the AI model, or the real-time traffic image and map path data are input into the AI model, so as to realize the prediction of the traffic accident occurrence probability for the received real-time traffic information, realize the real-time performance of risk prediction, and further guarantee the driving safety. And aiming at each real-time road condition information, after the corresponding real-time road condition image is obtained, the prediction of the occurrence probability of the traffic accident can be executed through the AI model.
For each prediction, after the probability of the traffic accident occurring within the preset area range is obtained, whether the probability of the traffic accident occurring within the preset area range is greater than a preset probability threshold value or not may be detected through the AI model, and if so, the first prompt module 224 may generate the early warning prompt information according to a condition that the probability of the traffic accident occurring within the preset area range is greater than the preset probability threshold value. The output module 226 is connected to the first prompt module 224, and can obtain and output the warning prompt information. The output mode of the early warning prompt information includes but is not limited to voice output and/or text input, namely the output of the early warning prompt information can be realized by playing prompt voice, and/or the output of the early warning prompt information is realized by displaying prompt text.
The above process corresponds to the situation that the terminal device receives the real-time traffic information, at this time, the navigation system may include a server or not, and the effective transmission of data based on a reasonable communication mode can be ensured by receiving the real-time traffic information based on the spread spectrum microwave communication or the wireless network bridge communication; transmission efficiency can be ensured by receiving compressed data; by generating the wide-angle navigation image, a three-dimensional picture can be presented, and the driving experience of a user is improved; driving safety can be improved by performing risk prediction.
As shown in fig. 5, the third communication module 231 is connected to the second decompressing module 232, the second decompressing module 232 is connected to the second processing module 233 and the second prompting module 234, the second processing module 233 and the second prompting module 234 are connected to the fourth communication module 235, and the fifth communication module 227 is connected to the display module 225 and the output module 226;
under the condition that the server 23 obtains at least one piece of real-time traffic information transmitted by the data acquisition device 21, the third communication module 231 receives at least one piece of real-time traffic information transmitted by the first communication module 213 through spread spectrum microwave communication or wireless bridge communication;
the second decompression module 232 receives the real-time traffic information and decompresses each piece of the real-time traffic information to obtain a corresponding real-time traffic image through connection with the third communication module 231;
the second processing module 233 is connected to the second decompressing module 232 to receive the real-time traffic image corresponding to each piece of real-time traffic information, and for the received real-time traffic image corresponding to each piece of real-time traffic information, the second processing module combines the map path data to perform stereo modeling by using a preset modeling algorithm to generate the wide-angle navigation image;
the second prompting module 234 receives the real-time traffic image corresponding to each piece of real-time traffic information through the connection with the second decompressing module 232, analyzes the real-time traffic image corresponding to each piece of real-time traffic information or the real-time traffic image corresponding to each piece of real-time traffic information and the map path data based on the AI model, predicts the probability of traffic accidents occurring in the preset area range, and generates early warning prompting information under the condition that the probability of traffic accidents occurring in the preset area range is greater than a preset probability threshold;
the fourth communication module 235, through connection with the second processing module 233 and the second prompt module 234, receives at least one frame of the wide-angle navigation image transmitted by the second processing module 233 and the warning prompt information transmitted by the second prompt module 234, and sends the frame of the wide-angle navigation image and the warning prompt information to the fifth communication module 227 through connection with the fifth communication module 227;
the display module 225 is connected to the fifth communication module 227, and receives and displays at least one frame of the wide-angle navigation image, and when the wide-angle navigation image is at least two frames, displays a wide-angle navigation animation including at least two frames of the wide-angle navigation image;
the output module 226 receives and outputs the warning prompt message through the connection with the fifth communication module 227.
The server 23 includes a third communication module 231, a second decompression module 232, a second processing module 233, a second prompt module 234, and a fourth communication module 235, and the terminal device 22 includes a display module 225, an output module 226, and a fifth communication module 227. The third communication module 231 is connected to the first communication module 213, the third communication module 231 can receive the real-time traffic information sent by the first communication module 213, and the third communication module 231 supports spread spectrum microwave communication or wireless bridge communication, and the communication mode of the third communication module 231 is the same as that of the first communication module 213. The third communication module 231 is configured to receive the real-time traffic information transmitted by the first communication module 213 through spread spectrum microwave communication or wireless bridge communication.
The second decompression module 232 is connected to the third communication module 231, and is configured to receive at least one piece of real-time traffic information transmitted by the third communication module 231, and for each piece of received real-time traffic information, it may perform decompression processing to obtain a corresponding real-time traffic image.
The second processing module 233 is connected to the second decompressing module 232, and configured to perform, for the real-time traffic image corresponding to each piece of received real-time traffic information, three-dimensional modeling according to the real-time traffic image and the map path data corresponding to the preset area range by using a preset modeling algorithm, so as to generate a corresponding wide-angle navigation image. When the real-time road condition images corresponding to the plurality of pieces of real-time road condition information are received, the multi-frame wide-angle navigation image can be generated.
The second prompt module 234 is connected to the second decompression module 232, and the second prompt module 234 can integrate an AI model, after the second decompression module 232 decompresses the real-time traffic information, the second prompt module 234 can acquire the real-time traffic image corresponding to the real-time traffic information, the second prompt module 234 inputs the acquired real-time traffic image into the AI model, or inputs the real-time traffic image and map path data into the AI model, so as to realize the prediction of the traffic accident occurrence probability for the received real-time traffic information, thereby realizing the real-time performance of risk prediction, and further ensuring the driving safety. And aiming at each real-time road condition information, after the corresponding real-time road condition image is obtained, the prediction of the occurrence probability of the traffic accident can be executed through the AI model.
For each prediction, after obtaining the probability of the traffic accident occurring within the preset area range, the AI model may detect whether the probability of the traffic accident occurring within the preset area range is greater than a preset probability threshold, and if so, the second prompt module 234 may generate the early warning prompt information according to a condition that the probability of the traffic accident occurring within the preset area range is greater than the preset probability threshold.
The second processing module 233 and the second prompt module 234 are both connected to the fourth communication module 235, the fourth communication module 235 may receive at least one frame of wide-angle navigation image transmitted by the second processing module 233 and the early warning prompt information transmitted by the second prompt module 234, the fourth communication module 235 is connected to the fifth communication module 227 of the terminal device 22, and the fifth communication module 227 obtains at least one frame of wide-angle navigation image and the early warning prompt information. The fourth communication module 235 and the fifth communication module 227 may be connected through spread spectrum microwave communication or wireless bridge communication.
The fifth communication module 227 is connected with the display module 225, the display module 225 is used for displaying at least one frame of wide-angle navigation image, when a plurality of frames of wide-angle navigation images are displayed, the wide-angle navigation images are sequentially displayed to form a wide-angle navigation animation, the three-dimensional animation is displayed, the driving experience of a user is improved, and the driving safety is guaranteed. The fifth communication module 227 is connected to the output module 226, and the output module 226 can obtain and output the warning prompt information. The manner of outputting the warning prompt information refers to the description of the terminal device side, which is not described herein again.
The process corresponds to the situation that the server receives real-time road condition information, displays a wide-angle navigation image on the terminal equipment and outputs early warning prompt information, and the effective transmission of data based on a reasonable communication mode can be ensured by receiving the real-time road condition information based on spread spectrum microwave communication or wireless network bridge communication; transmission efficiency can be ensured by receiving compressed data; by generating the wide-angle navigation image, the terminal equipment can present a three-dimensional picture, and the driving experience of a user is improved; driving safety can be improved by performing risk prediction.
In the navigation system of the embodiment of the invention, the real-time road condition information corresponding to the preset area range can be acquired through the data acquisition device, the real-time road condition information is acquired through the terminal device or the server, the three-dimensional modeling is performed according to the real-time road condition information and the map path data corresponding to the preset area range, and the wide-angle navigation image corresponding to the preset area range is generated, so that the existing map navigation image experience can be changed, a driver can see the three-dimensional image, the immersion feeling of the user is improved, the driving visual field is widened, and the driving safety is ensured.
Furthermore, the real-time road condition information is transmitted based on spread spectrum microwave communication or wireless network bridge communication, so that effective data transmission based on a reasonable communication mode can be ensured; transmission efficiency can be ensured by transmitting compressed data; driving safety can be improved by performing risk prediction.
It should be noted that the terminal device may be connected to a plurality of data acquisition devices, for example, by adding Virtual Reality (VR) enhancement and holographic projection technology, and by connecting 3 data acquisition devices at the same time, a stereoscopic image is synthesized.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (14)

1. A navigation method is applied to target equipment, wherein the target equipment is terminal equipment or a server, and the method is characterized by comprising the following steps:
under the condition that the terminal equipment is located in a preset area range and communication connection is established with a corresponding data acquisition device in the preset area range, acquiring at least one piece of real-time road condition information corresponding to the preset area range transmitted by the data acquisition device;
performing three-dimensional modeling according to at least one piece of real-time road condition information and map path data corresponding to the preset area range, and generating at least one frame of wide-angle navigation image corresponding to the preset area range, wherein each frame of wide-angle navigation image corresponds to one piece of real-time road condition information;
when the target device is the server, the server is in communication connection with the data acquisition device and the terminal device, and transmits at least one frame of the wide-angle navigation image to the terminal device.
2. The navigation method according to claim 1, wherein when the terminal device is located within the preset area range and no communication connection is established with the data acquisition device corresponding to the preset area range, the navigation method further comprises:
sending a connection establishment request carrying the equipment identifier corresponding to the terminal equipment to the data acquisition device;
receiving a connection establishment response fed back by the data acquisition device, and establishing communication connection with the data acquisition device according to the connection establishment response;
and when the equipment identifier carried by the connection establishment request is positioned in an allowed access list corresponding to the data acquisition device, the data acquisition device feeds back the connection establishment response.
3. The navigation method according to claim 1, wherein the acquiring of the at least one piece of real-time traffic information corresponding to the preset area range transmitted by the data acquisition device comprises:
receiving at least one piece of real-time road condition information transmitted by the data acquisition device through spread spectrum microwave communication or wireless network bridge communication;
and under the condition that the number of the real-time road condition information is at least two, receiving the at least two real-time road condition information sequentially transmitted by the data acquisition device.
4. The navigation method according to claim 1, wherein the real-time traffic information is generated by compressing the acquired real-time traffic image by the data acquisition device by using a compression algorithm;
after the real-time traffic information is acquired, the method further comprises the following steps:
and decompressing the real-time road condition information to obtain a corresponding real-time road condition image.
5. The navigation method according to claim 4, wherein the generating at least one frame of wide-angle navigation image corresponding to the preset area range by performing stereo modeling according to at least one of the real-time traffic information and the map path data corresponding to the preset area range includes:
and performing three-dimensional modeling by adopting a preset modeling algorithm according to the real-time road condition image corresponding to the real-time road condition information and the map path data aiming at each received real-time road condition information to generate the wide-angle navigation image.
6. The navigation method according to claim 5, wherein when the target device is the server and the real-time traffic information is at least two, the method further comprises, when transmitting the wide-angle navigation image:
and transmitting at least two frames of the wide-angle navigation images to the terminal equipment in sequence based on the generation sequence of the wide-angle navigation images so as to enable the terminal equipment to display the wide-angle navigation animation comprising the at least two frames of the wide-angle navigation images.
7. The navigation method according to claim 5, wherein when the target device is the terminal device and the real-time traffic status information is at least two, the method further comprises:
sequentially displaying at least two frames of the wide-angle navigation images based on the generation sequence of the wide-angle navigation images;
and at least two frames of the wide-angle navigation images form a wide-angle navigation animation.
8. The navigation method according to claim 4, further comprising, after decompressing the real-time traffic information and obtaining the corresponding real-time traffic image:
analyzing the real-time road condition image or the real-time road condition image and the map path data based on an Artificial Intelligence (AI) model, and predicting the probability of traffic accidents in the preset area range;
generating early warning prompt information under the condition that the probability of the traffic accident in the preset area range is greater than a preset probability threshold;
the server generates early warning prompt information, and transmits the early warning prompt information to the terminal equipment so that the terminal equipment outputs the early warning prompt information; and outputting the early warning prompt information under the condition that the terminal equipment generates the early warning prompt information.
9. A navigation system, characterized in that the navigation system comprises: the system comprises a data acquisition device and terminal equipment, or comprises the data acquisition device, the terminal equipment and a server;
the data acquisition device is used for acquiring real-time road condition information corresponding to a preset area range;
the server is in communication connection with the data acquisition device and the terminal equipment;
under the condition that the terminal equipment is located in the preset area range and the communication connection is established with the data acquisition device, the terminal equipment or the server is used for: acquiring at least one piece of real-time road condition information transmitted by the data acquisition device, performing three-dimensional modeling according to the at least one piece of real-time road condition information and map path data corresponding to the preset area range, and generating at least one frame of wide-angle navigation image corresponding to the preset area range, wherein each frame of wide-angle navigation image corresponds to one piece of real-time road condition information;
and when the server acquires the real-time road condition information, transmitting at least one frame of the wide-angle navigation image to the terminal equipment.
10. The navigation system of claim 9, wherein the data acquisition device comprises:
the system comprises a plurality of image collectors for collecting real-time road condition images;
the image processing module is connected with the plurality of image collectors and integrates a compression algorithm, and the image processing module is used for receiving the real-time road condition images and compressing the real-time road condition images to generate the real-time road condition information; and
the first communication module supports spread spectrum microwave communication or wireless network bridge communication, the image processing module is connected with the first communication module, and the first communication module acquires the real-time road condition information generated by the image processing module and transmits the real-time road condition information to the terminal equipment or the server through the spread spectrum microwave communication or the wireless network bridge communication;
the image processor module generates real-time traffic information for each report, and the first communication module transmits each piece of real-time traffic information to the terminal device or the server in real time.
11. The navigation system according to claim 10, wherein the terminal device includes: the device comprises a second communication module, a first decompression module, a first processing module, a first prompt module integrated with an artificial intelligence AI model, a display module, an output module and a fifth communication module, wherein the second communication module is connected with the first communication module;
the server includes: the device comprises a third communication module, a second decompression module, a second processing module, a second prompt module integrated with an artificial intelligence AI model and a fourth communication module, wherein the third communication module is connected with the first communication module, and the fourth communication module is connected with the fifth communication module;
and under the condition that the number of the real-time road condition information is at least two, the terminal equipment or the server receives the at least two real-time road condition information which are sequentially transmitted by the data acquisition device.
12. The navigation system of claim 11, wherein the second communication module is connected to the first decompression module, the first decompression module is connected to the first processing module and the first prompt module, the first processing module is connected to the display module, and the first prompt module is connected to the output module;
under the condition that terminal equipment acquires at least one piece of real-time road condition information transmitted by the data acquisition device, the second communication module receives the at least one piece of real-time road condition information transmitted by the first communication module through spread spectrum microwave communication or wireless network bridge communication;
the first decompression module receives the real-time road condition information and decompresses each piece of real-time road condition information to acquire a corresponding real-time road condition image through connection with the second communication module;
the first processing module is connected with the first decompression module, receives a real-time road condition image corresponding to each piece of real-time road condition information, and performs three-dimensional modeling by combining the map path data and adopting a preset modeling algorithm aiming at the received real-time road condition image corresponding to each piece of real-time road condition information to generate the wide-angle navigation image;
the first prompt module is connected with the first decompression module, receives a real-time road condition image corresponding to each piece of real-time road condition information, analyzes the real-time road condition image corresponding to each piece of real-time road condition information or the real-time road condition image corresponding to each piece of real-time road condition information and the map path data based on the AI model, predicts the probability of traffic accidents occurring in the preset area range, and generates early warning prompt information under the condition that the probability of traffic accidents occurring in the preset area range is greater than a preset probability threshold;
the display module is connected with the first processing module, receives and displays at least one frame of the wide-angle navigation image, and displays a wide-angle navigation animation comprising at least two frames of the wide-angle navigation image when the wide-angle navigation image is at least two frames;
the output module is connected with the first prompt module to acquire and output the early warning prompt information.
13. The navigation system of claim 11, wherein the third communication module is connected to the second decompression module, the second decompression module is connected to the second processing module and the second prompt module, the second processing module and the second prompt module are connected to the fourth communication module, and the fifth communication module is connected to the display module and the output module;
under the condition that the server acquires at least one piece of real-time road condition information transmitted by the data acquisition device, the third communication module receives the at least one piece of real-time road condition information transmitted by the first communication module through spread spectrum microwave communication or wireless network bridge communication;
the second decompression module receives the real-time road condition information and decompresses each piece of real-time road condition information to acquire a corresponding real-time road condition image through connection with the third communication module;
the second processing module is connected with the second decompression module, receives the real-time road condition image corresponding to each piece of real-time road condition information, and performs three-dimensional modeling by combining the map path data and adopting a preset modeling algorithm aiming at the received real-time road condition image corresponding to each piece of real-time road condition information to generate the wide-angle navigation image;
the second prompting module is connected with the second decompressing module, receives the real-time road condition image corresponding to each real-time road condition information, analyzes the real-time road condition image corresponding to each real-time road condition information or the real-time road condition image corresponding to each real-time road condition information and the map path data based on the AI model, predicts the probability of traffic accidents occurring in the preset area range, and generates early warning prompting information under the condition that the probability of traffic accidents occurring in the preset area range is greater than a preset probability threshold;
the fourth communication module receives at least one frame of the wide-angle navigation image transmitted by the second processing module and the early warning prompt information transmitted by the second prompt module through the connection with the second processing module and the second prompt module, and sends the early warning prompt information to the fifth communication module through the connection with the fifth communication module;
the display module is connected with the fifth communication module, receives and displays at least one frame of the wide-angle navigation image, and displays a wide-angle navigation animation comprising at least two frames of the wide-angle navigation image when the wide-angle navigation image is at least two frames;
and the output module is connected with the fifth communication module and used for receiving and outputting the early warning prompt information.
14. The navigation system according to any one of claims 9 to 13, wherein the terminal device is a vehicle-mounted terminal or a mobile terminal.
CN202110421103.5A 2021-04-19 2021-04-19 Navigation method and system Pending CN113188563A (en)

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