A method, device and cloud for enhancing ride experience based on an intelligent learning model
An intelligent learning and model technology, applied in neural learning methods, biological neural network models, character and pattern recognition, etc., can solve problems such as limited functions that can be adjusted, no personalized customization, and limited algorithm complexity. To achieve the effect of improving the ride experience, improving the accuracy, and improving the recognizable performance
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Embodiment 1
[0043] see figure 1 As shown, an embodiment of the present invention provides a method for enhancing ride experience based on an intelligent learning model, including:
[0044] S100, use three camera devices to simultaneously capture a group of in-vehicle images at preset time intervals L ;
[0045] Specifically, the equivalent optical axes of the three cameras are consistent, and the focal lengths of the three cameras are f 1 , f 2 , f 3 Satisfy . see figure 2 As shown, a feasible design for maintaining the equivalent optical axes of the three camera devices includes: a lens 1, a first beam splitting unit 2-1 and a second beam splitting unit 2-2 are respectively arranged on the axis of the lens 1, and the The first beam splitting unit 2-1 and the second beam splitting unit 2-2 have a beam splitting optical path that is collinear with the axis of the lens 1, and the second beam splitting unit 2-2 is located in the second beam splitting unit 2-1 and the axis of the...
Embodiment 2
[0086] see image 3 As shown, an embodiment of the present invention provides a device for implementing a method for enhancing a ride experience based on an intelligent learning model, for implementing the method for enhancing a ride experience based on an intelligent learning model, comprising: an image acquisition module, the image The acquisition module is used to collect images in the vehicle;
[0087] a scale response map generation module, the scale response map generation module generates a corresponding scale response map for each group of in-vehicle images in the data packet;
[0088] a normalization module, which normalizes the scale response map;
[0089] an intelligent learning model module, wherein the intelligent learning model module predicts the data packets normalized by the scale response graph to obtain the actual needs of users;
[0090] An execution module, the execution module performs corresponding operations according to the actual needs of the user t...
Embodiment 3
[0092] see Figure 4 As shown, an embodiment of the present invention provides a cloud for executing a method for enhancing the driving experience based on an intelligent learning model. The cloud is a server cluster with high computing power, including: at least two groups of processors that can form a cluster, a memory, a communication interface and Bus, the bus connects the processor, the memory and the communication interface, the communication interface of the cloud connects the vehicle through the network, the cloud obtains the in-vehicle image from the vehicle and stores it in the memory, the memory stores at least one instruction, and the processor reads and executes all the images. The instruction processes and analyzes the in-vehicle images stored in the processor and feeds back the analysis results to the vehicle to implement the method for enhancing the ride experience based on the intelligent learning model.
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