Man-machine coupled longitudinal collision avoidance control method

Abstract

The invention relates to a man-machine coupled longitudinal collision avoidance control method. Theman-machine coupled longitudinal collision avoidance control method comprises a wire control brakingmodule, an active sensing module, and an anthropomorphic control module;theanthropomorphic control module comprises a driver model and a deep neural network anthropomorphic decision-making controller,the active sensing module obtains a real-time traffic condition and inputs to a driver model to output desired brake deceleration;according to basic experimental data of a driver and the active sensing module, the deep neural network anthropomorphic decision-making controller generates a large amount of experimental data by utilizing generative adversarial net technology, the deep neural networkis trained to generate a brake collision avoidance controller, and output information of the brake collision avoidance controller is transmitted to the wire control braking module to complete the braking collision avoidance.According to the man-machine coupled longitudinal collision avoidance control method, the problems that the collision avoidance controller of a vehicle has a narrow range of application and control is harsh are effectively solved, and adaptability of the brake collision avoidance system and the comfort of the driver and passenger are improved.

Description

technical field

[0001] The invention relates to a man-machine coupling longitudinal collision avoidance control method, which belongs to the field of automobile active safety. Background technique

[0002] With the advent of the era of artificial intelligence, intelligent driving has become a research hotspot today. At present, there is still a long way to go for fully automated driving on the road. Human-machine co-driving will be the main driving state in the future. How to make self-driving cars drive like humans and use human experience to make driving safer It is a problem that needs to be studied at present; most traffic accidents are caused by collisions between vehicles. The existing longitudinal collision avoidance technology performs simple mechanical braking based on the safe distance model, completely ignoring the feelings and intentions of drivers and passengers. It is easy to cause conflicts in driving control rights. The development of human-machine coordinat...

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