Human-machine hybrid enhance intelligent driving system and electric vehicle

Abstract

The invention discloses a man-machine hybrid enhanced intelligent driving system and an electric vehicle, wherein the system comprises a state monitoring module comprising a sensor and a camera; the data processing module processes the data of the sensor to obtain a driving instruction; the driving control module drives according to the driving instruction; the driver simulation driving module isused for driver simulation driving; the synthesizing module synthesizes the image of the camera and the running state of the vehicle driven by the driving control module into a first image, and synthesizes the image of the camera and the running state of the vehicle driven by the simulated driving module into a second image; a display screen is also provided; the analysis module analyzes the driving operation defects of the driving control module and feeds them back to the driving control module, and corrects the first image according to the defects to obtain a third image. The comparison module compares the third image with the second image to indicate a driver's driving error. The invention enhances the driver's sense of participation when the vehicle is unmanned, and is convenient for the driver to improve the driving technology at the same time.

Description

technical field [0001] The present invention relates to the technical field of automobile unmanned driving, in particular to a human-machine hybrid enhanced intelligent driving system and an electric vehicle. Background technique [0002] A driverless car is a kind of smart car, which can also be called a wheeled mobile robot. It mainly relies on the computer system-based smart driver in the car to realize driverless driving. Driverless cars use on-board sensors to perceive the surrounding environment of the vehicle, and control the steering and speed of the vehicle based on the road, vehicle position and obstacle information obtained from the perception, so that the vehicle can drive safely and reliably on the road. Unmanned driving technology integrates many technologies such as automatic control, architecture, artificial intelligence, and visual computing. It is the product of computer science, pattern recognition and intelligent control technology. It is the key develop...

AI Technical Summary

Problems solved by technology

For the unattended driving system, its advantages are high system stability, safer, and liberates the driver. Its disadvantages are the lack of driver participation, lack of trust in the system, low driver comfort when the vehicle is running, Poor performance on complex road conditions

The Chinese patent with the patent application number 201710841570.7 proposes a human-machine hybrid enhanced intelligent driving system, which has the advantages of both the unmanned driving system and the manned driving system. When dealing with general road conditions, computer control is the main method to relieve the driver. The driver’s decision-making is the main factor when dealing with complex road conditions, which improves the reliability of the system in dealing with complex road problems, and the artificial intelligence controller has the ability to learn human driver’s decision-making. Although this technical solution solves the problem of driving However, for novice drivers, they do not have enough experience to participate in driving decisions, so when using unmanned vehicles, they can only completely rely on unmanned vehicles. Driving system, which does not improve one's own driving skills; or completely relies on manual driving, the risk factor during driving will be greatly increased

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