Distributed multi-stage communication method between intelligent automobiles

Abstract

The invention discloses a distributed multi-stage communication method between intelligent automobiles, and relates to the technical field of intelligent automobiles. The vehicle establishes communication with surrounding small-range vehicles and intelligent road facilities in a short-distance communication mode, and important key information such as own vehicle speed, acceleration state, steering, detection results of active detection equipment and the like is shared in real time, and the vehicle is taken as a small-range information network host; after key information shared by surrounding vehicles is received and discriminated, effective information can be used for driving behavior decision making, small-range vehicle information sharing can be achieved for a single vehicle, driving behavior decision making can be assisted according to the obtained effective information, large-range vehicle clusters can be drawn in real time, and road conditions of the area are shared. The purpose of sharing detailed road condition information is achieved, and the problem that a single vehicle active detection device has a blind area is solved to the maximum extent.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent vehicles, and in particular to a decentralized multi-level communication method between intelligent vehicles. Background Art

[0002] Smart cars refer to a new generation of cars that are equipped with advanced sensors, controllers, actuators and other devices, use new technologies such as information communication, the Internet, big data, cloud computing, and artificial intelligence, have partial or full automatic driving functions, and gradually transform from simple transportation tools to intelligent mobile spaces. Smart cars are a new type of high-tech car, including intelligent driving systems, life service systems, safety protection systems, location service systems, and car service systems. The primary stage of smart cars is manifested in auxiliary systems such as driving assistance systems ADAS and various automatic driving systems. The ultimate stage is unmanned driving that can completely replace humans.

[0003] In the development of smart cars, the active detection equipment of different vehicles is inconsistent and the detection information of the equipment is mostly limited to their own driving behavior decisions. The road information obtained by each vehicle is quite different. Smart cars rely heavily on their own active detection equipment to identify the surrounding vehicle conditions, and there is a high possibility of unsolvable detection blind spots. For example, there is a detection blind spot for pure vision solution vehicles when they are blocked by other vehicles. For this reason, we propose a distributed multi-level communication method between smart cars. Summary of the invention

[0004] The purpose of the present invention is to solve the problems mentioned in the above background technology. The present invention provides a decentralized multi-level communication method between intelligent vehicles.

[0005] In order to achieve the above-mentioned purpose, the present invention specifically adopts the following technical solutions:

[0006] A decentralized multi-level communication method between intelligent vehicles, comprising:

[0007] A data collection system, wherein the data collection system is used to collect information data;

[0008] A data processing system, the data processing system is used to process the data collected by the data collection system;

[0009] A data analysis system, the data analysis system is used to analyze the data processed by the data processing system;

[0010] A decision making system is used to generate decisions in combination with the information data of the data analysis system.

[0011] Furthermore, the data collection system performs collection based on an on-board chip.

[0012] Furthermore, the data collection system, the data processing system, the data analysis system and the decision making system are connected by signals through a data transmission system.

[0013] Furthermore, the data collected by the data collection system includes environmental information collection and vehicle information collection, wherein the environmental information collection includes traffic lights, guardrails, buildings and zebra crossings, and the vehicle information collection includes current vehicle information collection and surrounding vehicle information collection, wherein the current vehicle information collection and the surrounding vehicle information collection both include vehicle speed and driving behavior.

[0014] Furthermore, the data processing system includes data cleaning, data standardization and data conversion.

[0015] Furthermore, the data analysis system has a built-in recognition unit for identifying vehicle speed, environment and driving behavior.

[0016] Furthermore, the decision-making system includes a control acceleration unit, a control deceleration unit, a control steering unit and an early warning unit, wherein the control acceleration unit is used to perform acceleration control, the control deceleration unit is used to perform deceleration control, the control steering unit is used to perform steering control, and the early warning unit is used to implement early warning.

[0017] Further, the following steps are included:

[0018] S1. Environmental information collection: collecting environmental information of the driving route;

[0019] S2, vehicle information collection, collecting information of the current vehicle and surrounding vehicles;

[0020] S3, vehicle behavior prediction, based on the various sensors installed on the vehicle itself to accurately detect the current position, speed, direction of movement and other information of surrounding vehicles and then use it to predict their future trajectory;

[0021] S4, behavior modification, intervening in vehicle operation behavior based on vehicle behavior prediction results;

[0022] S5, generate decision results, and generate decision results according to the intervention method formulated for behavior modification;

[0023] S6. Send to the vehicle, upload the decision result to the vehicle via the data transmission module, and manage the vehicle operation.

[0024] Furthermore, the vehicle behavior prediction in S3 is based on vehicles and intelligent road facilities in a large area, which achieve information sharing by forming a large-scale information network through short-distance communication and multiple bridges, and forming a virtual host in real time. The virtual host intelligently allocates computing power according to the different computing devices of each vehicle, identifies valid information, and draws detailed road conditions in real time based on the shared key and valid information and shares them.

[0025] The beneficial effects of the present invention are as follows:

[0026] 1. The vehicle of the present invention establishes communication with surrounding vehicles and intelligent road facilities in a small range through short-distance communication, and shares important key information such as its own speed, acceleration status, steering, and detection results of active detection equipment in real time. The vehicle uses itself as the host of a small-range information network, receives key information shared by surrounding vehicles, and uses effective information to make driving behavior decisions after identification. For a single vehicle, vehicle information sharing within a small range is achieved, and driving behavior decisions can be assisted based on the effective information obtained.

[0027] 2. In the present invention, vehicles and intelligent road facilities within a large range form a large-scale information network through short-distance communication and multiple bridges to achieve information sharing, and form a virtual host in real time. The virtual host intelligently allocates the computing amount according to the different computing devices of each vehicle, identifies the effective information, and draws detailed road conditions in real time based on the above-mentioned shared key and effective information and shares them. A single vehicle dynamically and in real time joins or establishes different large-scale information networks according to actual conditions. The vehicle can make its own driving behavior decisions based on the large-scale shared information. For a large-scale vehicle cluster, the road conditions in the area are drawn in real time and shared, so as to achieve the purpose of sharing detailed road condition information and eliminate the problem of blind spots in the active detection equipment of a single vehicle to the greatest extent.

[0028] 3. The present invention continues to bridge the large-scale information network with other large-scale information networks to form an even larger-scale information network and realize information sharing. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a working schematic diagram of the present invention;

[0030] Figure 2 is a system block diagram of the decision making system of the present invention;

[0031] Figure 3 It is a work flow chart of the present invention. DETAILED DESCRIPTION

[0032] To make the purpose, technical solution and advantages of the embodiments of the present invention more clear, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0033] See also Figure 1 - Figure 3 The present invention provides a decentralized multi-level communication method between intelligent vehicles, comprising:

[0034] Data collection system: the data collection system is used to collect information data;

[0035] A data processing system, the data processing system is used to process the data collected by the data collection system;

[0036] A data analysis system, which is used to analyze the data processed by the data processing system;

[0037] Decision making system,The decision making system is used to make decisions by combining the information data from the data analysis system.

[0038] In this embodiment, preferably, the data collection system performs collection based on an on-board chip.

[0039] In this embodiment, preferably, the data collection system, the data processing system, the data analysis system and the decision making system are connected by signals through a data transmission system.

[0040] In this embodiment, preferably, the data collected by the data collection system includes environmental information collection and vehicle information collection, wherein the environmental information collection includes traffic lights, guardrails, buildings and zebra crossings, and the vehicle information collection includes current vehicle information collection and surrounding vehicle information collection, wherein the current vehicle information collection and surrounding vehicle information collection both include vehicle speed and driving behavior.

[0041] In this embodiment, preferably, the data processing system includes data cleaning, data standardization and data conversion; the data processing system includes data cleaning, data standardization and data conversion. Data cleaning can be used to screen out expired data and useless information, data standardization can be used to perform standardized processing of data, and data conversion can help ensure the upload efficiency of data.

[0042] In this embodiment, preferably, the data analysis system has a built-in recognition unit for identifying vehicle speed, environment and driving behavior, which can provide data source and data support for the subsequent generation of decision results.

[0043] In this embodiment, preferably, the decision-making system includes a control acceleration unit, a control deceleration unit, a control steering unit and an early warning unit, wherein the control acceleration unit is used to perform acceleration control, the control deceleration unit is used to perform deceleration control, the control steering unit is used to perform steering control, and the early warning unit is used to implement early warning.

[0044] In this embodiment, preferably, the following steps are included:

[0045] S1. Environmental information collection: collecting environmental information of the driving route;

[0046] S2, vehicle information collection, collecting information of the current vehicle and surrounding vehicles;

[0047] S3, vehicle behavior prediction, based on the various sensors installed on the vehicle itself to accurately detect the current position, speed, direction of movement and other information of surrounding vehicles and then use it to predict their future trajectory;

[0048] S4, behavior modification, intervening in vehicle operation behavior based on vehicle behavior prediction results;

[0049] S5, generate decision results, and generate decision results according to the intervention method formulated for behavior modification;

[0050] S6. Send to the vehicle, upload the decision result to the vehicle via the data transmission module, and manage the vehicle operation.

[0051] In this embodiment, preferably, the vehicle behavior prediction in S3 is based on vehicles and intelligent road facilities in a large area, which communicate over short distances and bridge multiple times to form a large-scale information network to achieve information sharing, and form a virtual host in real time. The virtual host intelligently allocates computing power according to the different computing devices of each vehicle, identifies valid information, and draws detailed road conditions in real time based on the shared key and valid information and shares them.

[0052] The working principle and use process of the present invention are as follows: S1, environmental information collection, collecting environmental information of the driving route; the data collection system collects information based on the vehicle-mounted chip, and the environmental information collected includes signal lights, guardrails, buildings and zebra crossings,

[0053] S2. Vehicle information collection, collecting information of the current vehicle and surrounding vehicles; vehicle information collection includes current vehicle information collection and surrounding vehicle information collection, wherein both current vehicle information collection and surrounding vehicle information collection include vehicle speed and driving behavior, and the data processing system is used to process the data collected by the data collection system; the data processing system includes data cleaning, data standardization and data conversion, through data cleaning, it is possible to filter out expired data and useless information, through data standardization, it is possible to standardize data, through data conversion, it is beneficial to ensure the data upload effect, and the data analysis system is used to analyze the data after the data processing system completes the processing; the data analysis system has a built-in recognition unit for identifying vehicle speed, environment and driving behavior, which can provide data source and data support for the subsequent decision-making result generation.

[0054] S3. Vehicle behavior prediction: the various sensors installed on the vehicle itself are used to accurately detect the current position, speed, direction of movement and other information of surrounding vehicles, and then use it to predict their future trajectory; vehicle behavior prediction is based on vehicles and intelligent road facilities in a large area, which use short-distance communication and multiple bridges to form a large-scale information network to achieve information sharing, and form a virtual host in real time. The virtual host intelligently allocates computing power according to the different computing devices of each vehicle, identifies valid information, and draws detailed road conditions in real time based on the shared key and valid information and shares them.

[0055] S4, behavior modification, intervening in vehicle operation behavior based on vehicle behavior prediction results;

[0056] S5. Generate decision results according to the intervention method formulated by behavior correction; the decision generation system includes a control acceleration unit, a control deceleration unit, a control steering unit and an early warning unit, wherein the control acceleration unit is used for acceleration control, the control deceleration unit is used for deceleration control, the control steering unit is used for steering control, and the early warning unit is used for early warning.

[0057] S6. Send to the vehicle, upload the decision result to the vehicle via the data transmission module, and manage the vehicle operation.

[0058] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A distributed multi-level communication method between intelligent vehicles, characterized in that: include: A data collection system, wherein the data collection system is used to collect information data; A data processing system, the data processing system is used to process the data collected by the data collection system; A data analysis system, the data analysis system is used to analyze the data processed by the data processing system; A decision making system is used to generate decisions in combination with the information data of the data analysis system.

2. The method for decentralized multi-level communication between intelligent vehicles according to claim 1, characterized in that: The data collection system is based on the on-board chip for collection.

3. The method for decentralized multi-level communication between intelligent vehicles according to claim 1, characterized in that: The data collection system, the data processing system, the data analysis system and the decision making system are connected with each other by signals through a data transmission system.

4. The method for decentralized multi-level communication between intelligent vehicles according to claim 1, characterized in that: The data collected by the data collection system includes environmental information collection and vehicle information collection, wherein the environmental information collection includes traffic lights, guardrails, buildings and zebra crossings; the vehicle information collection includes current vehicle information collection and surrounding vehicle information collection, wherein the current vehicle information collection and the surrounding vehicle information collection both include vehicle speed and driving behavior.

5. The method for decentralized multi-level communication between intelligent vehicles according to claim 1, characterized in that: The data processing system includes data cleaning, data standardization and data conversion.

6. The method for decentralized multi-level communication between intelligent vehicles according to claim 1, characterized in that: The data analysis system is equipped with a recognition unit for recognizing vehicle speed, environment and driving behavior.

7. The method for decentralized multi-level communication between intelligent vehicles according to claim 1, characterized in that: The decision making system includes an acceleration control unit, a deceleration control unit, a steering control unit and an early warning unit, wherein the acceleration control unit is used for acceleration control, the deceleration control unit is used for deceleration control, the steering control unit is used for steering control, and the early warning unit is used for early warning.

8. The method for decentralized multi-level communication between intelligent vehicles according to claim 1, characterized in that: The steps include: S1. Environmental information collection: collecting environmental information of the driving route; S2, vehicle information collection, collecting information of the current vehicle and surrounding vehicles; S3, vehicle behavior prediction, based on the various sensors installed on the vehicle itself to accurately detect the current position, speed, direction of movement and other information of surrounding vehicles and then use it to predict their future trajectory; S4, behavior modification, intervening in vehicle operation behavior based on vehicle behavior prediction results; S5, generate decision results, and generate decision results according to the intervention method formulated for behavior modification; S6. Send to the vehicle, upload the decision result to the vehicle via the data transmission module, and manage the vehicle operation.

9. A distributed multi-level communication method between intelligent vehicles according to claim 8, characterized in that: The vehicle behavior prediction in S3 is based on vehicles and intelligent road facilities in a large area, which achieve information sharing by forming a large-scale information network through short-distance communication and multiple bridges, and forming a virtual host in real time. The virtual host intelligently allocates computing power according to the different computing devices of each vehicle, identifies valid information, and draws detailed road conditions in real time based on the shared key and valid information and shares them.

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