Adaptive processing method for new scenes in autonomous driving, autonomous driving method and system

An autonomous driving method comprising:

• changing the control mode of the vehicle to manual control when the actual running scene is a new scene in autonomous driving of a vehicle;
• obtaining scene data of the new scene in the process of manual control of the vehicle, wherein the scene data describes vehicle states in the new scene and the driving operation performed under the manual control;
• obtaining a test set of the new scene based on processing the scene data by selected preset distribution;
• updating parameters of a pre-training model by inputting the test set, and obtaining a scene model adapted to the new scene based on gradient iteration of general model parameters in the pre-training model;
• controlling the vehicle to perform driving operations under automatic driving model in the new scene based on the scene model adapted to the new scene.

An autonomous driving system, the automatic driving system is deployed on a vehicle, and comprises a processor and a memory, computer-readable instructions are stored on the memory;

• when the computer-readable instructions are executed by the processor, realize steps of an adaptive processing method for new scenes in autonomous driving, comprising:
• obtaining scene data corresponding to new scene of vehicle driving, wherein the scene data describes vehicles state and driving operations in the new scene;
• obtaining a test set of the new scene based on processing the scene data by a preset distribution;
• updating parameters of a pre-training model by inputting the test set, and obtaining a scene model adapted to the new scene based on gradient iteration of general model parameters of the pre-training model, wherein the scene model is configured to output an autonomous driving strategy for the vehicle in the new scene.