Vehicle automatic driving method based on artificial intelligence

Abstract

The invention relates to the technical field of intelligent driving, and discloses a vehicle automatic driving method based on artificial intelligence, which comprises the following steps: S1, information acquisition: collecting external environment and road information through components such as a sensor and a camera outside a vehicle; in the information acquisition step, external environment information comprises vehicle information and lane information, S2, information analysis: the collected information is disassembled and analyzed through a vehicle machine system and an internal processor; s3, voice communication: summarizing and optimizing the current information through the vehicle machine system, and then suggesting a clamping scheme with the user; and S4, voice-containing driving: performing voice broadcasting on the current driving state through a vehicle machine loudspeaker, and taking over a steering wheel, a brake and an electric switch through a vehicle machine system. The vehicle automatic driving method based on artificial intelligence has the advantages that the driving participation sense of the user can be increased, and adaptive adjustment can be performed after the road is judged.

Description

Technical Field

[0001] The present invention relates to the field of intelligent driving technology, and in particular to an automatic driving method for a vehicle based on artificial intelligence. Background Art

[0002] Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a similar way to human intelligence. Research in this field includes robotics, speech recognition, image recognition, natural language processing, and expert systems. With the improvement of computing level, the recognition and processing capabilities of artificial intelligence are also increasing. Obviously, the recognition and processing capabilities can be better applied to driving technology.

[0003] Most of the existing autonomous driving methods have basic obstacle avoidance functions, but during the driving process, there is little feedback to the user, and the user has no sense of driving participation in the overall driving process. At the same time, the existing autonomous driving solutions can only complete the overall route driving after route selection. When there is a problem with the route, adaptive route switching operations cannot be performed. Therefore, an artificial intelligence-based vehicle autonomous driving method is proposed to solve the above-mentioned problems. Summary of the invention

[0004] 1. Technical issues to be solved

[0005] In view of the deficiencies in the prior art, the present invention provides a vehicle automatic driving method based on artificial intelligence, which has the advantages of increasing the user's sense of driving participation while being able to make adaptive adjustments after judging the road. It solves the problem that most of the existing automatic driving methods have basic obstacle avoidance functions, but during the driving process, there is little feedback to the user, and the user has no sense of driving participation in the overall driving process. At the same time, the existing automatic driving solutions can only complete the overall route driving after route selection, and cannot perform adaptive route switching operations when there is a problem with the route.

[0006] (II) Technical solution

[0007] The technical solution of the present invention to solve the above technical problem is as follows: A vehicle automatic driving method based on artificial intelligence comprises the following steps:

[0008] S1. Information acquisition: Collecting external environment and road information through sensors and cameras on the outside of the vehicle;

[0009] S2, information analysis: disassemble and analyze the collected information through the vehicle system and internal processor;

[0010] S3, Voice communication: After summarizing and optimizing the current information through the vehicle computer system, the clamping solution is suggested to the user;

[0011] S4, including voice driving: the current driving status is announced through the car speakers, and the steering wheel, brakes and ignition are taken over by the car system.

[0012] The beneficial effects of the present invention are:

[0013] This artificial intelligence-based vehicle autonomous driving method has the advantages of increasing the user's sense of driving participation while making adaptive adjustments after judging the road.

[0014] Based on the above technical solution, the present invention can also be improved as follows.

[0015] Furthermore, in the information acquisition step, the external environment information includes vehicle information and lane information.

[0016] Further, the vehicle information includes vehicle speed information and vehicle model information;

[0017] The vehicle speed information is identified by the sensor detecting the displacement of the vehicle per unit time;

[0018] After the vehicle model information is captured through a video using an AI-based vehicle computer, key frames of the video are captured and identified through intelligent comparison over the Internet.

[0019] The beneficial effect of adopting the above further solution is that the acquisition of vehicle information can conveniently determine whether the conditions for overtaking are met in the current state.

[0020] Further, the lane information includes road information and traffic light information;

[0021] The road information is identified by a sensor fixed to the bottom of the vehicle;

[0022] The traffic light information is recognized by a camera in front of the vehicle.

[0023] The beneficial effect of adopting the above further solution is that the recognition of lane information can facilitate the acquisition of the current road traffic conditions and facilitate subsequent vehicle operations.

[0024] Furthermore, the information analysis process is processed based on a multi-threaded processor and a graphics processor;

[0025] The traffic light information, video information and image information are processed by a graphics processor;

[0026] The vehicle model information, vehicle speed information, road information, sensor information and graphics processor feedback information are centrally processed by a multi-threaded processor.

[0027] Furthermore, after the traffic light information is identified, it is handed over to the vehicle computer for judgment, and the vehicle computer obtains the current traffic light information through the network for comparison.

[0028] The beneficial effect of adopting the above further solution is that the current traffic light information can be corrected by comparison, so as to determine the start and stop time and increase the starting efficiency.

[0029] Furthermore, the voice communication process includes the following steps:

[0030] S3.1, Information summary: The vehicle computer summarizes the information after analysis and broadcasts it by voice:

[0031] S3.2. Propose options: Provide users with various driving mode recommendations and route options under the current conditions through analyzed information.

[0032] The beneficial effect of adopting the above further solution is that the interactivity with the user can be conveniently improved.

[0033] Furthermore, the driving mode includes a safe driving mode and a speed priority driving mode, and the route selection is performed by the vehicle computer through real-time monitoring of road congestion and is proposed according to changes in congestion levels.

[0034] Furthermore, during the route selection process, the vehicle computer obtains road congestion conditions by pulling information from the Internet.

[0035] The beneficial effect of adopting the above further solution is that it can facilitate the correction of the current path information. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a schematic diagram of the steps of the present invention;

[0037] Figure 2 It is a schematic diagram of the voice communication steps of the present invention. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] In the embodiment, Figure 1-2 A method for automatic driving of a vehicle based on artificial intelligence is provided, and the present invention comprises the following steps:

[0040] S1. Information acquisition: Collecting external environment and road information through sensors and cameras on the outside of the vehicle;

[0041] S2, information analysis: disassemble and analyze the collected information through the vehicle system and internal processor;

[0042] S3, Voice communication: After summarizing and optimizing the current information through the vehicle computer system, the clamping solution is suggested to the user;

[0043] S4, including voice driving: the current driving status is announced through the car speakers, and the steering wheel, brakes and ignition are taken over by the car system.

[0044] In the information acquisition step, the external environment information includes vehicle information and lane information.

[0045] Vehicle information includes vehicle speed information and vehicle model information;

[0046] The vehicle speed information is identified by the sensor detecting the displacement of the vehicle per unit time;

[0047] After the vehicle model information is captured through video using the AI-based car computer, the key frames of the video are captured and identified through intelligent comparison over the Internet.

[0048] The acquisition of vehicle information can easily determine whether the conditions for overtaking are met under the current state.

[0049] Lane information includes road information and traffic light information;

[0050] Road information is identified by sensors fixed to the bottom of the vehicle;

[0051] Traffic light information is recognized by the camera in front of the vehicle.

[0052] The recognition of lane information can facilitate the acquisition of the current road traffic conditions and facilitate subsequent vehicle operations.

[0053] The information analysis process is based on multi-threaded processors and graphics processors;

[0054] Traffic light information, video information and image information are processed by a graphics processor;

[0055] Vehicle type information, vehicle speed information, road information, sensor information and graphics processor feedback information are centrally processed by a multi-threaded processor.

[0056] After the traffic light information is identified, it is handed over to the vehicle computer for judgment. The vehicle computer obtains the current traffic light information through the Internet for comparison.

[0057] The current traffic light information can be corrected by comparison to determine the start and stop time and increase starting efficiency.

[0058] The voice communication process includes the following steps:

[0059] S3.1, Information summary: The vehicle computer summarizes the information after analysis and broadcasts it by voice:

[0060] S3.2. Propose options: Provide users with various driving mode recommendations and route options under the current conditions through analyzed information.

[0061] It can easily improve the interactivity with users.

[0062] Driving modes include safe driving mode and speed priority driving mode. Route selection is based on the vehicle computer's real-time monitoring of road congestion levels and is proposed based on changes in congestion levels.

[0063] When driving in speed priority mode, when the vehicle's computer recognizes that the current road conditions are suitable for overtaking, it will automatically perform the overtaking operation. At the same time, when the vehicle's computer recognizes that there is a large amount of empty road ahead, it will drive at a speed not exceeding 10% of the speed limit.

[0064] When driving in a safe manner, no overtaking operation will be performed regardless of whether the current conditions allow for overtaking. The vehicle will only drive along the optimal route, and the maximum speed will be the speed limit of the current lane.

[0065] In particular, during safe driving, when the conditions for overtaking are met, the vehicle's artificial intelligence can confirm whether to overtake by asking the user.

[0066] During the route selection process, the vehicle computer obtains road congestion information by pulling information from the Internet.

[0067] It is convenient to correct the current path information.

[0068] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0069] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for automatic vehicle driving based on artificial intelligence, characterized in that: The steps include: S1. Information acquisition: Collecting external environment and road information through sensors and cameras on the outside of the vehicle; S2, information analysis: disassemble and analyze the collected information through the vehicle system and internal processor; S3, Voice communication: After summarizing and optimizing the current information through the vehicle computer system, the clamping solution is suggested to the user; S4, including voice driving: the current driving status is announced through the car speakers, and the steering wheel, brakes and ignition are taken over by the car system.

2. The method for automatic vehicle driving based on artificial intelligence according to claim 1, characterized in that: In the information acquisition step, the external environment information includes vehicle information and lane information.

3. The method for automatic vehicle driving based on artificial intelligence according to claim 1, characterized in that: The vehicle information includes vehicle speed information and vehicle model information; The vehicle speed information is identified by the sensor detecting the displacement of the vehicle per unit time; After the vehicle model information is captured through a video using an AI-based vehicle computer, key frames of the video are captured and identified through intelligent comparison over the Internet.

4. The method for automatic vehicle driving based on artificial intelligence according to claim 1, characterized in that: The lane information includes road information and traffic light information; The road information is identified by a sensor fixed to the bottom of the vehicle; The traffic light information is recognized by a camera in front of the vehicle.

5. The method for automatic vehicle driving based on artificial intelligence according to claim 1, characterized in that: The information analysis process is processed based on a multi-threaded processor and a graphics processor; The traffic light information, video information and image information are processed by a graphics processor; The vehicle model information, vehicle speed information, road information, sensor information and graphics processor feedback information are centrally processed by a multi-threaded processor.

6. The method for automatic vehicle driving based on artificial intelligence according to claim 1, characterized in that: After the traffic light information is identified, it is handed over to the vehicle computer for judgment, and the vehicle computer obtains the current traffic light information through the network for comparison.

7. The method for automatic vehicle driving based on artificial intelligence according to claim 1, characterized in that: The voice communication process includes the following steps: S3.1, Information summary: The vehicle computer summarizes the information after analysis and broadcasts it by voice: S3.

2. Propose options: Provide users with various driving mode recommendations and route options under the current conditions through analyzed information.

8. The method for automatic vehicle driving based on artificial intelligence according to claim 1, characterized in that: The driving modes include a safe driving mode and a speed priority driving mode. The route selection is performed by the vehicle computer through real-time monitoring of road congestion and is proposed according to changes in the congestion level.

9. The method for automatic vehicle driving based on artificial intelligence according to claim 1, characterized in that: During the route selection process, the vehicle computer obtains road congestion conditions by pulling information from the Internet.

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