Optimization system for vehicle following driving

Abstract

The utility model relates to the technical field of vehicle following, and provides an optimization system for vehicle following driving, which comprises a vehicle main body, a multi-mode sensor mounted on the outer side wall of the vehicle main body, a high-definition camera mounted on the outer side wall of the vehicle main body, and a three-dimensional laser radar mounted on the outer side wall of the vehicle main body, the three-dimensional laser radar, the three-dimensional laser radar and the high-definition camera are uniformly mounted on the outer side of the vehicle main body in a penetrating manner; and according to the collected driving habit data of the driver, the system performs personalized adjustment on the car-following model. For example, if the driver prefers a far car-following distance, the system adjusts car-following distance parameters in the car-following model to enable the car to keep a far distance in the driving process, and the system can further adjust acceleration and deceleration response speed parameters in the car-following model according to acceleration and deceleration preferences of the driver to enable the car to keep a far distance in the driving process. And the vehicle can better conform to the driving style of a driver.

Description

Technical Field

[0001] The utility model relates to the technical field of car following, in particular to an optimization system for car following driving. Background Art

[0002] Car-following refers to the process by which a vehicle following a leading vehicle maintains a safe distance from the leading vehicle when platooning on a one-way street with overtaking restrictions. This is one of the most fundamental micro-driving behaviors, describing the interaction between adjacent vehicles.

[0003] In the field of intelligent transportation systems, car-following technology has long been a hot topic of research. Traditional car-following systems are primarily based on control theory and models. However, in complex and changing traffic environments, these systems have limited adaptability and often struggle to cope with various emergencies. Furthermore, most existing systems fail to fully account for the driver's individual driving habits, resulting in a poor driving experience and unsmooth interaction between the driver and the system.

[0004] To this end, those skilled in the art have proposed an optimization system for car-following driving to solve the problems raised in the background art. Utility Model Content

[0005] In order to solve the above technical problems, the present invention provides an optimization system for vehicle following driving, so as to solve the problem that the system in the prior art does not fully consider the driver's personalized driving habits, resulting in a poor driving experience and insufficiently smooth interaction between the driver and the system.

[0006] An optimization system for vehicle following driving includes a vehicle body, an outer side wall of the vehicle body is installed with a multimodal sensor, a high-definition camera is also installed on the outer side wall of the vehicle body, and a three-dimensional laser radar is also installed on the outer side of the vehicle body. The three-dimensional laser radar and the high-definition camera are evenly interspersed and installed on the outside of the vehicle body.

[0007] Preferably, the high-definition camera, three-dimensional laser radar, and multimodal sensor are electrically connected to a data processing module through wires, and the output end of the data processing module is electrically connected to an intelligent decision-making module through wires. The high-definition camera, three-dimensional laser radar, and multimodal sensor are electrically connected to a driver's driving habit data collection module through wires, and the output end of the driver's driving habit data collection module is electrically connected to the intelligent decision-making module through wires. The output end of the intelligent decision-making module is installed with a dynamic adjustment module, and the output end of the intelligent decision-making module is also connected to a user interaction interface, and the dynamic adjustment module is also connected to the user interaction interface.

[0008] Preferably, the high-definition camera, three-dimensional laser radar, and multimodal sensor realize multimodal environmental perception and optimize the following behavior according to the driver's driving habits.

[0009] Preferably, the user inputs or selects his / her own driving habit preferences through the user interaction interface, and the system saves these data and uses them as the basis for subsequent personalized adjustments.

[0010] Preferably, the data collated by the data processing module and the driver's driving habit data collection module can be extracted through the setting of the intelligent decision-making module.

[0011] Preferably, the driver's driving habit data collection module collects data from high-definition cameras, three-dimensional lidar, and multimodal sensors, and can monitor the driver's driving habits in real time, including following distance, acceleration and deceleration operations, and lane keeping status.

[0012] Compared with the prior art, the present invention has the following beneficial effects:

[0013] 1. Based on collected data on the driver's driving habits, the system personalizes the car-following model. For example, if the driver prefers a longer following distance, the system adjusts the following distance parameter in the car-following model to maintain a greater distance between the vehicles. The system also adjusts the acceleration and deceleration response speed parameters in the car-following model based on the driver's acceleration and deceleration preferences, making the vehicle more compatible with the driver's driving style.

[0014] 2. The personalized following model can better adapt to the driver's driving habits and improve driving comfort and safety.

[0015] 3. The system provides a series of configurable driving habit options through a user interface, such as following distance, acceleration and deceleration sensitivity, and lane keeping tightness. Drivers enter or select their driving habit preferences through the user interface, and the system saves this data and uses it as the basis for subsequent personalized adjustments.

[0016] 4. The system can also use advanced machine learning algorithms to automatically extract the driver's driving habit characteristics by analyzing the driver's historical driving data (such as driving speed, braking frequency, steering angle, etc.) BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a system schematic diagram of the utility model;

[0018] Figure 2 For this utility model Figure 1 Schematic diagram of the data processing module.

[0019] In the figure: 10. Vehicle body; 11. Multimodal sensor; 12. High-definition camera; 13. Data processing module; 14. Intelligent decision-making module; 15. Driver's driving habit data collection module; 16. Dynamic adjustment module; 17. Three-dimensional lidar; 18. User interaction interface. DETAILED DESCRIPTION

[0020] The following is a further detailed description of the embodiments of the present invention in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0021] As attached Figure 1-2 As shown:

[0022] Embodiment 1: The present invention provides an optimization system for vehicle following driving, comprising a vehicle body 10, wherein a multimodal sensor 11 is installed on the outer wall of the vehicle body 10, a high-definition camera 12 is also installed on the outer wall of the vehicle body 10, and a three-dimensional laser radar 17 is also installed on the outer wall of the vehicle body 10. The three-dimensional laser radar 17 and the high-definition camera 12 are evenly interspersed and installed on the outer side of the vehicle body 10. The high-definition camera 12, the three-dimensional laser radar 17, and the multimodal sensor 11 are electrically connected to a data processing module 1 through wires. 3. The output end of the data processing module 13 is electrically connected to the intelligent decision-making module 14 via a wire. The high-definition camera 12, the three-dimensional laser radar 17, and the multimodal sensor 11 are electrically connected to the driver's driving habit data collection module 15 via a wire. The output end of the driver's driving habit data collection module 15 is electrically connected to the intelligent decision-making module 14 via a wire. The output end of the intelligent decision-making module 14 is installed with a dynamic adjustment module 16. The output end of the intelligent decision-making module 14 is also connected to a user interaction interface 18, and the dynamic adjustment module 16 is also connected to the user interaction interface 18.

[0023] Specifically, the multimodal sensors 11 are rationally arranged based on the vehicle structure and sensing requirements to ensure complementary fields of view between the sensors 11 and reduce blind spots. For example, a 3D lidar 17 can be mounted in the center of the roof to obtain a wider vertical field of view, while a high-definition camera 12 can be mounted in the center of the front of the vehicle to capture information about the road ahead.

[0024] The high-definition camera 12, three-dimensional laser radar 17, and multimodal sensor 11 realize multimodal environmental perception and optimize following behavior according to the driver's driving habits. The user inputs or selects his own driving habit preferences through the user interaction interface 18. The system saves these data and uses them as the basis for subsequent personalized adjustments. The data compiled by the data processing module 13 and the driver's driving habit data collection module 15 can be extracted through the setting of the intelligent decision-making module 14. The driver's driving habit data collection module 15 will collect data from the high-definition camera 12, three-dimensional laser radar 17, and multimodal sensor 11, and can monitor the driver's driving habits in real time, including following distance, acceleration and deceleration operations, and lane keeping status.

[0025] Specifically, the system interacts with the driver through the user interface 18 to collect the driver's driving habit data, such as following distance preference, acceleration and deceleration response speed preference, etc. Based on the collected driving habit data, the car-following model is personalized to make the system more consistent with the driver's driving style and preferences.

[0026] As can be seen from the above, first, the data processing module 13 receives data from various sensors such as the high-definition camera 12, the three-dimensional laser radar 17, the multimodal sensor 11, and integrates these data to ensure the accuracy and integrity of the data.

[0027] Next, the system collects information from the high-definition camera 12, three-dimensional lidar 17 and multimodal sensor 11 through the driver's driving habit data collection module 15, obtains information such as the driver's driving habits, combines the data from the integrated data processing module 13, and simulates and predicts through the intelligent decision-making module 14 to provide the vehicle with the optimal driving decision.

[0028] Within the data processing module 13, there are two important preprocessing steps: data preprocessing and data denoising. The data preprocessing stage primarily cleans and converts the raw data, providing a high-quality data source for subsequent data analysis. The data denoising stage focuses on eliminating noise and interference in the data, improving the signal-to-noise ratio, and ensuring data accuracy and reliability.

[0029] The entire process interacts with the user through the user interface 18, through which the user can view data processing results, adjust parameters, etc. The entire system achieves precise control and efficient operation of intelligent driving through continuous data collection, processing, analysis and optimization.

[0030] All standard parts used in this utility model can be purchased commercially, and special-shaped parts can be customized according to the description in the specification and drawings. The specific connection methods of each part adopt conventional means such as bolts, rivets, welding, etc. that are mature in the existing technology. The machinery, parts and equipment all adopt conventional models in the existing technology. In addition, the circuit connections adopt conventional connection methods in the existing technology and will not be described in detail here. Any matters not described in detail in this specification belong to the existing technology known to professional and technical personnel in this field.

[0031] In the description of this utility model, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, features specified as "first" or "second" may explicitly or implicitly include one or more of such features. "Multiple" means two or more, unless otherwise specifically defined.

[0032] In this utility model, unless otherwise specified or limited, the terms "installed," "connected," "connect," "fixed," etc. should be understood in a broad sense. For example, they can refer to fixed connection, detachable connection, or integration; mechanical connection, electrical connection; direct connection, indirect connection through an intermediate medium, internal communication between two components, or interaction between two components. Those skilled in the art will understand the specific meanings of the above terms in this utility model based on specific circumstances.

[0033] In the present invention, unless otherwise expressly specified or limited, when a first feature is "above" or "below" a second feature, it may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediary. Furthermore, when a first feature is "above," "above," or "above" a second feature, it may mean that the first feature is directly above or diagonally above the second feature, or simply means that the first feature is at a higher level than the second feature. When a first feature is "below," "below," or "below" a second feature, it may mean that the first feature is directly below or diagonally below the second feature, or simply means that the first feature is at a lower level than the second feature.

[0034] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples" or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in a suitable manner in any one or more embodiments or examples. In addition, those skilled in the art may combine and combine the different embodiments or examples and the features of different embodiments or examples described in this specification without contradiction.

[0035] In the drawings of the disclosed embodiments of the present invention, only the structures related to the disclosed embodiments are involved. Other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other.

[0036] Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments, or make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An optimization system for car-following driving, characterized by: The invention comprises a vehicle body (10), wherein a multimodal sensor (11) is installed on the outer side wall of the vehicle body (10), a high-definition camera (12) is also installed on the outer side wall of the vehicle body (10), and a three-dimensional laser radar (17) is also installed on the outer side wall of the vehicle body (10), wherein the three-dimensional laser radar (17) and the high-definition camera (12) are evenly interspersed and installed on the outer side of the vehicle body (10).

2. The optimization system for car-following driving according to claim 1, characterized in that: The high-definition camera (12), the three-dimensional laser radar (17), and the multimodal sensor (11) are electrically connected to a data processing module (13) via a wire; the output end of the data processing module (13) is electrically connected to an intelligent decision-making module (14) via a wire; the high-definition camera (12), the three-dimensional laser radar (17), and the multimodal sensor (11) are electrically connected to a driver's driving habit data collection module (15) via a wire; the output end of the driver's driving habit data collection module (15) is electrically connected to the intelligent decision-making module (14) via a wire; the output end of the intelligent decision-making module (14) is installed with a dynamic adjustment module (16); the output end of the intelligent decision-making module (14) is also connected to a user interaction interface (18); and the dynamic adjustment module (16) is also connected to the user interaction interface (18).

3. The optimization system for car-following driving according to claim 2, characterized in that: The high-definition camera (12), three-dimensional laser radar (17), and multimodal sensor (11) realize multimodal environmental perception and optimize the following behavior according to the driver's driving habits.

4. The optimization system for car-following driving according to claim 2, characterized in that: The user inputs or selects his / her own driving habit preferences through the user interaction interface (18), and the system saves these data and uses them as the basis for subsequent personalized adjustments.

5. The optimization system for car-following driving according to claim 2, characterized in that: The intelligent decision-making module (14) is configured to extract data collated by the data processing module (13) and the driver's driving habit data collection module (15).

6. The optimization system for car-following driving according to claim 2, characterized in that: The driver's driving habit data collection module (15) collects data from a high-definition camera (12), a three-dimensional laser radar (17), and a multimodal sensor (11), and can monitor the driver's driving habits in real time, including following distance, acceleration and deceleration operations, and lane keeping status.

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