A vehicle joint navigation device and navigation method based on big data
A technology of joint navigation and big data, applied in traffic control systems of road vehicles, reflection/re-radiation of radio waves, instruments, etc., can solve problems such as hidden dangers in the driving process of vehicles, and achieve the effect of improving accuracy
Active Publication Date: 2021-11-12
广东卡仕达电子科技有限公司
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Problems solved by technology
[0005] To this end, the embodiment of the present invention provides a vehicle joint navigation device and navigation method based on big data. Through the combined use of the GPS navigation module and the vehicle-mounted camera module, the angular relationship between the vehicle displacement line segment and the lane is simulated in real time to solve the current problem. In the existing technology, the navigation system cannot judge the fatigue state in conjunction with the moving track of the vehicle itself, which leads to the problem of great potential safety hazards in the driving process of the vehicle
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[0055] The implementation mode of the present invention is illustrated by specific specific examples below, and those who are familiar with this technology can easily understand other advantages and effects of the present invention from the contents disclosed in this description. Obviously, the described embodiments are a part of the present invention. , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0056] Such as Figure 1 to Figure 9 As shown, the present invention provides a vehicle integrated navigation device based on big data, including a GPS navigation module, a vehicle-mounted front-view camera, a steering angle monitoring unit, a dynamic simulation system, an object monitoring radar, a speed sensor and a central processing system;
[0057] The GPS navigation module is installed on ...
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The invention discloses a vehicle joint navigation device based on big data, which includes a GPS navigation module, a vehicle-mounted front-view camera, a steering angle monitoring unit, a dynamic simulation system, an object monitoring radar, a speed sensor and a central processing system, and the central processing system receives real-time Steering angle monitoring unit, dynamic simulation system, object monitoring radar, angle sensor and speed sensor information, and judging the driver's driving state in real time according to the information integration, also discloses the navigation method of the navigation device, which specifically includes the following steps: Gender and age information of the driver; reminder to fasten the seat belt and breathing monitoring belly belt; combined use of the steering angle monitoring unit, dynamic simulation system, object monitoring radar and speed sensor for real-time fatigue monitoring; Simulate the image, use the angle between the moving direction of the vehicle and the center line of the lane to predict the direction of the vehicle, and improve the accuracy of fatigue driving monitoring.
Description
technical field [0001] Embodiments of the present invention relate to the technical field of big data analysis applications, and in particular to a big data-based vehicle joint navigation device and navigation method. Background technique [0002] Driving is a heavy workload that consumes both physical and mental energy. The driver sits in an almost closed cab for a long time, the muscles of the whole body are in a tense working state all the time, and the mind is highly concentrated. If the energy consumed physically and psychologically is not recovered and adjusted immediately after a long time, it will lead to fatigue , causing emotional distress, easy to get angry, and weakness. Fatigue will cause obstacles to the driver's sensory organs, which will make the reaction become sluggish and make mistakes in judgment. Fatigue driving is the natural enemy of safe driving. According to the statistics of the traffic department, 60% The above traffic accidents are related to fat...
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IPC IPC(8): G08B21/06G08G1/01G08G1/052G01S19/45G01S13/931
CPCG01S13/931G01S19/45G08B21/06G08G1/0104G08G1/0137G08G1/052
Inventor 胡浩
Owner 广东卡仕达电子科技有限公司