Non-contact vehicle-mounted navigation system and navigation method

Abstract

The invention relates to the technical field of navigation and positioning, and discloses a non-contact vehicle-mounted navigation system and a navigation method.The non-contact vehicle-mounted navigation system comprises a navigation target input module, a navigation path output module, a road condition information acquisition module, a moving target position calibration module, a calibration error correction module, a matched route analysis module and an optimal path output module; input voice information is converted into text information, navigation targets are positioned according to the text information, the number of feasible paths is determined, road information data of different feasible paths are obtained through GPS positioning equipment, estimation calibration and error correction are carried out on the positions of moving targets of different paths, and the positioning accuracy of the moving targets is improved. And calculating matching measurement indexes of different paths based on the corrected moving target positions of the different paths to determine an optimal path, and outputting the optimal path to the user terminal, in a word, the non-contact vehicle-mounted navigation system and the navigation method determine the optimal path through position calibration and error correction, so that the navigation accuracy is improved.

Description

Technical Field

[0001] The present invention relates to the field of navigation and positioning technology, and more specifically to a contactless vehicle-mounted navigation system and a navigation method. Background Art

[0002] With the rapid development of the automobile industry, drivers have an increasing demand for driving safety and convenience. During long-distance driving or in unfamiliar environments, drivers need a reliable auxiliary tool to guide them and avoid getting lost or taking the wrong route. In-vehicle navigation systems have emerged and become an indispensable driving assistance tool for drivers. However, these tools have disadvantages such as slow information update, low accuracy, and inconvenience in use.

[0003] With the popularization of the Internet and the development of real-time traffic information services, in-vehicle navigation systems have begun to integrate real-time traffic information functions. In-vehicle navigation systems can obtain real-time traffic information such as road congestion and traffic accidents, and adjust route planning accordingly to provide drivers with more accurate navigation services. However, in some cases, it is not safe enough. The contactless navigation system operates in a contactless manner, which can reduce the driver's distraction and improve driving safety. By integrating artificial intelligence technology, it can provide more intelligent route planning and voice interaction functions to meet the driver's personalized needs.

[0004] Although the contactless navigation system focuses on the innovation of interactive methods, it does not pay enough attention to position error correction. On the one hand, the system relies too much on external positioning sources such as GPS, and fails to effectively integrate other sensor data for error compensation. On the other hand, the system lacks real-time update and calibration mechanisms, resulting in reduced positioning accuracy in complex environments, and fails to make full use of real-time traffic information and advanced algorithm models to optimize path planning. Summary of the invention

[0005] In order to overcome the above defects of the prior art, the present invention provides a contactless vehicle navigation system to solve the problems existing in the above background technology.

[0006] The present invention provides the following technical solution: a non-contact vehicle navigation system, comprising: a navigation target input module, a navigation path output module, a road condition information acquisition module, a mobile target position calibration module, a calibration error correction module, a matching route analysis module, and an optimal path output module; The navigation target input module includes a voice unit and a text unit. The voice unit converts the input voice information into text information and transmits it to the text unit. The text unit recognizes the text information to locate the navigation target. The navigation path output module determines the number of feasible paths i based on the navigation target, where i=1, 2, 3, ...n, and transmits the determined feasible paths to the road condition information acquisition module; The road condition information acquisition module acquires road information data of different feasible paths through a GPS positioning device based on the feasible paths transmitted by the navigation path output module, and transmits the acquired road information data to the mobile target position calibration module; The mobile target position calibration module estimates and calibrates the mobile target positions of different paths based on the road information data transmitted by the road condition information acquisition module, and transmits the calibrated mobile target positions to the calibration error correction module; The calibration error correction module receives the moving target position transmitted by the moving target position calibration module, performs error correction, and transmits the corrected moving target positions of different paths to the matching route analysis module; The matching route analysis module receives the corrected moving target positions of different paths transmitted by the calibration error correction module, establishes a matching metric model, calculates the matching metric indexes of different paths, determines the optimal path, and transmits the optimal path to the optimal path output module; The optimal path output module receives the optimal path transmitted by the matching route analysis module and outputs the result to the user terminal.

[0007] Preferably, in the navigation target input module, the voice unit recognizes the voice information input by the user through the microphone, and converts the voice information into computer-processable text information through acoustic signal processing, and the text unit receives the text information transmitted by the voice unit through recognition.

[0008] Preferably, in the navigation path output module, the number of feasible paths is determined based on the navigation target input by the user and the map data in the navigation system database.

[0009] Preferably, in the road condition information acquisition module, the road information data of different feasible paths acquired by the GPS positioning device include: the initial position of the moving target, the moving distance required by the moving target at different times, and the moving direction angle required by the moving target at different times.

[0010] Preferably, in the mobile target position calibration module, based on the road information data transmitted by the road condition information acquisition module, the specific contents of estimating and calibrating the mobile target positions of different paths are as follows: Step S1: Determine the initial position of the moving target ; Step S2: The system automatically divides each feasible path into the required moving distance and moving direction angle of k moving targets at different times according to the road condition information, where k=1, 2, 3, ... t; Step S3: Estimate the horizontal coordinates of the moving target of each feasible path at different times, and the calculation formula is: ,in Represents the horizontal coordinate of the moving target of each feasible path at different times, It represents the distance required for each feasible path to move the target at different times. Indicates the moving direction angle required for each feasible path to move the target at different times; Step S4: Estimate the ordinate of each feasible path moving target at different times, and the calculation formula is: ,in Indicates the vertical coordinate of the moving target of each feasible path at different times; Step S5: Estimate the moving target position of different paths at different times , and calibrate the moving target position.

[0011] Preferably, in the calibration error correction module, the specific contents of receiving the moving target position transmitted by the moving target position calibration module and performing error correction are as follows: Step S1: Preset the moving target positions of different paths at different times under ideal conditions as ; Step S2: Calculate the error correction coefficients of different paths, the calculation formula is: ,in represents the error correction coefficient of different paths, represents the measurement error coefficient; Step S3: The moving target positions of different paths at different times after error correction are .

[0012] Preferably, in the matching route analysis module, the mobile target positions of different paths after correction transmitted by the calibration error correction module are received, a matching metric model is established, and matching metric indexes of different paths are calculated to determine the optimal path. The specific contents are as follows: Step S1: normalizing the moving distance and moving direction angle required for moving the target at different times; Step S2: Establish a matching metric model based on step S1, calculate the matching metric indexes of different paths and determine the optimal path.

[0013] Preferably, in step S1, the specific contents of normalizing the moving distance and moving direction angle required for moving the target at different times are as follows: Step S11: normalize the moving distances required for moving the target at different times, and the calculation formula is: ,in Indicates the required moving distance of the target at different times after normalization; Step S12: normalize the moving direction angles required for moving the target at different times, and the calculation formula is: ,in It indicates the moving direction angle required for moving the target at different times after normalization.

[0014] Preferably, in step S2, the specific contents of calculating the matching metric indexes of different paths and determining the optimal path are as follows: Step S21: Establish a matching metric model, and calculate the matching metric index of different paths using the following formula: ,in Indicates the matching metric index of different paths; Step S22: Determine the optimal path: Compare the matching metric indexes of different paths Matches the preset metric threshold For comparison, if the matching metric index Less than or equal to the preset matching metric threshold , then the path is not retained, if the matching metric index Greater than the preset matching metric threshold , then retain the path and select the maximum matching metric index in the retained path The matched path is determined as the optimal path.

[0015] A non-contact vehicle navigation method comprises the following steps: Step S01: converting the input voice information into text information and locating the navigation target according to the text information; Step S02: determining the number of feasible paths based on the navigation target; Step S03: Obtaining road information data of different feasible paths through a GPS positioning device; Step S04: estimating and calibrating the moving target positions of different paths; Step S05: performing error correction on the calibrated moving target position; Step S06: Calculate the matching metric index of different paths based on the corrected moving target positions of different paths to determine the optimal path; Step S07: Output the optimal path to the user terminal.

[0016] Technical effects and advantages of the present invention: The present invention is provided with a navigation target input module, a navigation path output module, a road condition information acquisition module, a mobile target position calibration module, a calibration error correction module, a matching route analysis module, and an optimal path output module. The present invention converts input voice information into text information and locates the navigation target according to the text information, determines the number of feasible paths, obtains road information data of different feasible paths through a GPS positioning device, estimates and calibrates the mobile target positions of different paths and performs error correction, calculates matching metric indexes of different paths based on the corrected mobile target positions of different paths to determine the optimal path, and outputs the optimal path to a user terminal. In short, a non-contact vehicle-mounted navigation system and a navigation method determine the optimal path through position calibration and error correction, improves the accuracy of navigation, adopts an advanced algorithm model for path planning, and improves the efficiency of path planning. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 The present invention is a flow chart of a contactless vehicle navigation system.

[0018] Figure 2 The present invention is a flow chart of a contactless vehicle navigation method. DETAILED DESCRIPTION

[0019] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. In addition, the forms of the various structures recorded in the following embodiments are merely illustrative. The contactless vehicle navigation system and navigation method involved in the present invention are not limited to the various structures recorded in the following embodiments. All other implementations obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0020] like Figure 1 As shown, the present invention provides a contactless vehicle navigation system, comprising: a navigation target input module, a navigation path output module, a road condition information acquisition module, a mobile target position calibration module, a calibration error correction module, a matching route analysis module, and an optimal path output module; The navigation target input module includes a voice unit and a text unit. The voice unit converts the input voice information into text information and transmits it to the text unit. The text unit recognizes the text information to locate the navigation target. The navigation path output module determines the number of feasible paths i based on the navigation target, where i=1, 2, 3, ...n, and transmits the determined feasible paths to the road condition information acquisition module; The road condition information acquisition module acquires road information data of different feasible paths through a GPS positioning device based on the feasible paths transmitted by the navigation path output module, and transmits the acquired road information data to the mobile target position calibration module; The mobile target position calibration module estimates and calibrates the mobile target positions of different paths based on the road information data transmitted by the road condition information acquisition module, and transmits the calibrated mobile target positions to the calibration error correction module; The calibration error correction module receives the moving target position transmitted by the moving target position calibration module, performs error correction, and transmits the corrected moving target positions of different paths to the matching route analysis module; The matching route analysis module receives the corrected moving target positions of different paths transmitted by the calibration error correction module, establishes a matching metric model, calculates the matching metric indexes of different paths, determines the optimal path, and transmits the optimal path to the optimal path output module; The optimal path output module receives the optimal path transmitted by the matching route analysis module and outputs the result to the user terminal.

[0021] In this embodiment, it should be specifically explained that, in the navigation target input module, the speech unit recognizes the speech information input by the user through the microphone, and converts the speech information into text information that can be processed by the computer through acoustic signal processing, and the text unit receives the text information transmitted by the speech unit through recognition; The speech unit pre-processes the input speech signal, including filtering, noise reduction, and removal of silent segments, to improve the accuracy of subsequent processing, and converts the processed speech signal into a series of feature vectors, which reflect the key information of the speech signal, including pitch, timbre, and speech speed. The trained speech recognition model is used to match the feature vector with the template in the model, identify the corresponding text information, and output the identified text information to the text unit for subsequent processing; The text unit parses the received text information and identifies keywords in the text, where the keywords are related to the navigation target. When the text information contains specific address information, the text unit uses geocoding technology to convert the address information into geographic location coordinates. If the text information contains the name of a point of interest, the text unit uses a point of interest database for matching to find the corresponding geographic location. For ambiguous query requests, the text unit uses contextual information, user history records and other auxiliary information to perform reasoning and judgment to locate the navigation target as accurately as possible, and generates corresponding navigation instructions and path planning solutions based on the located navigation target.

[0022] In this embodiment, it should be specifically explained that, in the navigation path output module, the number of feasible paths is determined according to the navigation target input by the user and the map data in the navigation system database.

[0023] In this embodiment, it should be specifically explained that in the road condition information acquisition module, the road information data of different feasible paths acquired by the GPS positioning device include: the initial position of the moving target, the moving distance required by the moving target at different times, and the moving direction angle required by the moving target at different times.

[0024] In this embodiment, it should be specifically explained that, in the mobile target position calibration module, based on the road information data transmitted by the road condition information acquisition module, the specific contents of estimating and calibrating the mobile target positions of different paths are as follows: Step S1: Determine the initial position of the moving target ; Step S2: The system automatically divides each feasible path into the required moving distance and moving direction angle of k moving targets at different times according to the road condition information, where k=1, 2, 3, ... t; Step S3: Estimate the horizontal coordinates of the moving target of each feasible path at different times, and the calculation formula is: ,in Represents the horizontal coordinate of the moving target of each feasible path at different times, It represents the distance required for each feasible path to move the target at different times. Indicates the moving direction angle required for each feasible path to move the target at different times; Step S4: Estimate the ordinate of each feasible path moving target at different times, and the calculation formula is: ,in Represents the ordinate of each feasible path moving target at different times, It represents the distance required for each feasible path to move the target at different times. Indicates the moving direction angle required for each feasible path to move the target at different times; Step S5: Estimate the moving target position of different paths at different times , and calibrate the moving target position.

[0025] In this embodiment, it should be specifically explained that, in the calibration error correction module, the specific contents of receiving the moving target position transmitted by the moving target position calibration module and performing error correction are as follows: Step S1: Preset the moving target positions of different paths at different times under ideal conditions as ; Step S2: Calculate the error correction coefficients of different paths, the calculation formula is: ,in represents the error correction coefficient of different paths, represents the measurement error coefficient, It indicates the moving target position of different paths at different times under the preset ideal state; Step S3: The moving target positions of different paths at different times after error correction are , represents the error correction coefficient of different paths, Represents the horizontal coordinate of the moving target of each feasible path at different times, Represents the vertical coordinate of the moving target of each feasible path at different times.

[0026] In this embodiment, it should be specifically explained that, in the matching route analysis module, the moving target positions of different paths after correction transmitted by the calibration error correction module are received, a matching metric model is established, and matching metric indexes of different paths are calculated to determine the optimal path. The specific contents are as follows: Step S1: normalizing the moving distance and moving direction angle required for moving the target at different times; Step S2: Establish a matching metric model based on step S1, calculate the matching metric indexes of different paths and determine the optimal path.

[0027] In this embodiment, it should be specifically explained that in step S1, the specific content of normalizing the moving distance and moving direction angle required for moving the target at different times is as follows: Step S11: normalize the moving distances required for moving the target at different times, and the calculation formula is: ,in It represents the moving distance required to move the target at different times after normalization. Indicates the distance required for each feasible path to move the target at different times; Step S12: normalize the moving direction angles required for moving the target at different times, and the calculation formula is: ,in It represents the moving direction angle required for moving the target at different times after normalization. Indicates the moving direction angle required for each feasible path to move the target at different times.

[0028] In this embodiment, it should be specifically explained that in step S2, the specific contents of calculating the matching metric indexes of different paths and determining the optimal path are as follows: Step S21: Establish a matching metric model, and calculate the matching metric index of different paths using the following formula: ,in Represents the matching metric index of different paths, Represents the error correction coefficients for different paths; Step S22: Determine the optimal path: Compare the matching metric indexes of different paths Matches the preset metric threshold For comparison, if the matching metric index Less than or equal to the preset matching metric threshold , then the path is not retained, if the matching metric index Greater than the preset matching metric threshold , then retain the path and select the maximum matching metric index in the retained path The matched path is determined as the optimal path.

[0029] In this embodiment, it should be specifically explained that, in the optimal path output module, the optimal path transmitted by the matching route analysis module is received, and the result is output to the user terminal. The user terminal and the matching route analysis module communicate with each other through a preset data interface. When the matching route analysis module completes the calculation of the optimal path, the result data is transmitted to the user terminal through the interface. After receiving the data, the user terminal parses the data format to ensure that the path information can be correctly identified and extracted, and the parsed optimal path information is visualized on the map.

[0030] like Figure 2 As shown, in this embodiment, it should be specifically explained that the method for using a contactless vehicle navigation system and navigation method includes the following steps: Step S01: converting the input voice information into text information and locating the navigation target according to the text information; Step S02: determining the number of feasible paths based on the navigation target; Step S03: Obtaining road information data of different feasible paths through a GPS positioning device; Step S04: estimating and calibrating the moving target positions of different paths; Step S05: performing error correction on the calibrated moving target position; Step S06: Calculate the matching metric index of different paths based on the corrected moving target positions of different paths to determine the optimal path; Step S07: Output the optimal path to the user terminal.

[0031] In the present embodiment, it should be specifically explained that the difference between the present embodiment and the prior art lies mainly in that the present embodiment is provided with a navigation target input module, a navigation path output module, a road condition information acquisition module, a mobile target position calibration module, a calibration error correction module, a matching route analysis module, and an optimal path output module, by converting the input voice information into text information and locating the navigation target based on the text information, determining the number of feasible paths, obtaining road information data of different feasible paths through a GPS positioning device, estimating and calibrating the mobile target positions of different paths and correcting the errors, calculating the matching metric index of different paths based on the corrected mobile target positions of different paths to determine the optimal path, and outputting the optimal path to a user terminal. In short, a contactless vehicle-mounted navigation system and a navigation method determine the optimal path through position calibration and error correction, thereby improving the accuracy of navigation, and adopting advanced algorithm models for path planning to improve the efficiency of path planning.

[0032] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0033] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A contactless vehicle navigation system, characterized in that: include: Navigation target input module, navigation path output module, road condition information acquisition module, mobile target position calibration module, calibration error correction module, matching route analysis module, and optimal path output module; The navigation target input module includes a voice unit and a text unit. The voice unit converts the input voice information into text information and transmits it to the text unit. The text unit recognizes the text information to locate the navigation target. The navigation path output module determines the number of feasible paths i based on the navigation target, where i=1, 2, 3, ...n, and transmits the determined feasible paths to the road condition information acquisition module; The road condition information acquisition module acquires road information data of different feasible paths through a GPS positioning device based on the feasible paths transmitted by the navigation path output module, and transmits the acquired road information data to the mobile target position calibration module; The mobile target position calibration module estimates and calibrates the mobile target positions of different paths based on the road information data transmitted by the road condition information acquisition module, and transmits the calibrated mobile target positions to the calibration error correction module; The calibration error correction module receives the moving target position transmitted by the moving target position calibration module, performs error correction, and transmits the corrected moving target positions of different paths to the matching route analysis module; The matching route analysis module receives the corrected moving target positions of different paths transmitted by the calibration error correction module, establishes a matching metric model, calculates the matching metric indexes of different paths, determines the optimal path, and transmits the optimal path to the optimal path output module; The optimal path output module receives the optimal path transmitted by the matching route analysis module and outputs the result to the user terminal.

2. A contactless vehicle navigation system according to claim 1, characterized in that: In the navigation target input module, the speech unit recognizes the speech information input by the user through the microphone, and converts the speech information into computer-processable text information through acoustic signal processing, and the text unit receives the text information transmitted by the speech unit through recognition.

3. The contactless vehicle navigation system according to claim 1, characterized in that: In the navigation path output module, the number of feasible paths is determined according to the navigation target input by the user and the map data in the navigation system database.

4. The contactless vehicle navigation system according to claim 1, characterized in that: In the road condition information acquisition module, the road information data of different feasible paths acquired by the GPS positioning device include: the initial position of the moving target, the moving distance required by the moving target at different times, and the moving direction angle required by the moving target at different times.

5. The contactless vehicle navigation system according to claim 1, characterized in that: In the mobile target position calibration module, based on the road information data transmitted by the road condition information acquisition module, the specific contents of estimating and calibrating the mobile target positions of different paths are as follows: Step S1: Determine the initial position of the moving target ; Step S2: The system automatically divides each feasible path into the required moving distance and moving direction angle of k moving targets at different times according to the road condition information, where k=1, 2, 3, ... t; Step S3: Estimate the horizontal coordinates of the moving target of each feasible path at different times, and the calculation formula is: ,in Represents the horizontal coordinate of the moving target of each feasible path at different times, It represents the distance required for each feasible path to move the target at different times. Indicates the moving direction angle required for each feasible path to move the target at different times; Step S4: Estimate the ordinate of each feasible path moving target at different times, and the calculation formula is: ,in Indicates the vertical coordinate of the moving target of each feasible path at different times; Step S5: Estimate the moving target position of different paths at different times , and calibrate the moving target position.

6. The contactless vehicle navigation system according to claim 1, characterized in that: In the calibration error correction module, the specific contents of receiving the moving target position transmitted by the moving target position calibration module and performing error correction are as follows: Step S1: Preset the moving target positions of different paths at different times under ideal conditions as ; Step S2: Calculate the error correction coefficients of different paths, the calculation formula is: ,in represents the error correction coefficient of different paths, represents the measurement error coefficient; Step S3: The moving target positions of different paths at different times after error correction are .

7. The contactless vehicle navigation system according to claim 1, characterized in that: In the matching route analysis module, the mobile target positions of different paths after correction transmitted by the calibration error correction module are received, a matching metric model is established, and matching metric indexes of different paths are calculated to determine the optimal path. The specific contents are as follows: Step S1: normalizing the moving distance and moving direction angle required for moving the target at different times; Step S2: Establish a matching metric model based on step S1, calculate the matching metric indexes of different paths and determine the optimal path.

8. The contactless vehicle navigation system according to claim 7, characterized in that: In step S1, the specific contents of normalizing the moving distance and moving direction angle required for moving the target at different times are as follows: Step S11: normalize the moving distances required for moving the target at different times, and the calculation formula is: ,in Indicates the required moving distance of the target at different times after normalization; Step S12: normalize the moving direction angles required for moving the target at different times, and the calculation formula is: ,in It indicates the moving direction angle required for moving the target at different times after normalization.

9. The contactless vehicle navigation system according to claim 7, characterized in that: In step S2, the specific contents of calculating the matching metric indexes of different paths and determining the optimal path are as follows: Step S21: Establish a matching metric model, and calculate the matching metric index of different paths using the following formula: ,in Indicates the matching metric index of different paths; Step S22: Determine the optimal path: Compare the matching metric indexes of different paths Matches the preset metric threshold For comparison, if the matching metric index Less than or equal to the preset matching metric threshold , then the path is not retained, if the matching metric index Greater than the preset matching metric threshold , then retain the path and select the maximum matching metric index in the retained path The matched path is determined as the optimal path.

10. A non-contact vehicle navigation method, used for using a non-contact vehicle navigation system according to any one of claims 1 to 9, characterized in that: The following steps are involved: Step S01: converting the input voice information into text information and locating the navigation target according to the text information; Step S02: determining the number of feasible paths based on the navigation target; Step S03: Obtaining road information data of different feasible paths through a GPS positioning device; Step S04: estimating and calibrating the moving target positions of different paths; Step S05: performing error correction on the calibrated moving target position; Step S06: Calculate the matching metric index of different paths based on the corrected moving target positions of different paths to determine the optimal path; Step S07: Output the optimal path to the user terminal.

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