Generation method and device of strategy network model for automatic drive of vehicle

Abstract

The invention is applied to the technical field of computers and provides a generation method and a generation device of a strategy network model for automatic drive of a vehicle. The method comprises the steps of enabling vehicle state information collected at each test moment to form a state information set, processing the state information set, and acquiring a characteristic state information set; finding a vehicle movement which acquires the maximum return value in each piece of state information of the characteristic state information set according to a preset return value function and a pre-constructed vehicle movement set; training a network model of an extreme learning machine according to the characteristic state information set, the maximum return value corresponding to each piece of state information in the characteristic state information set and the vehicle movement which acquires the maximum return value; and generating the strategy network model for automatic drive of the vehicle according to a training result of the network model of the extreme learning machine. Therefore, the consumption of computing resource is effectively reduced and the generation efficiency of the strategy network model for automatic drive of the vehicle is effectively improved.

Description

Technical field [0001] The invention belongs to the field of computer technology, and in particular relates to a method and device for generating a strategy network model for automatic vehicle driving. Background technique [0002] With the development of the economy and the advancement of urbanization, the global car ownership and road mileage have gradually increased, causing a series of problems that cannot be properly solved by traditional cars such as traffic congestion, accidents, pollution, and shortage of land resources. Self-driving car technology is regarded as an effective solution to these problems, and its development is attracting attention. The Institute of Electronics and Electronics Engineers (IEEE) predicts that by 2040, the proportion of autonomous vehicles will reach 75%. [0003] An unmanned car, that is, driving on the road through its own driving assistance system without a driver, has the ability to sense the environment. The driving assistance system makes...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a method and device for generating a strategy network model for vehi

Images