VR virtual driving training and examination method based on deep learning

Abstract

The invention provides a VR virtual driving training and examination method based on deep learning. The method comprises the following steps of S1, obtaining a road condition real scene; S2, performing 3D modeling; S3, performing filing classification; S4, performing searching; S5, performing fusion; and S6, performing system testing and use. The invention discloses a new, safer, more convenient and more comprehensive vehicle virtual driving training and driving examination system. The virtual driving examination system is popularized on the basis of 5G and VR through deep learning, so that the wrong driving habit of each student can be changed in a targeted manner for many safety accidents; and a preventive driving technology can be popularized in a targeted manner according to many safety accidents. A traditional field system road section examination is completed in a virtual manner in an immersive manner, so that the learning efficiency is high, the learning technology is safer, andpeople can accept the examination more easily and popularize the examination more easily.

Description

technical field [0001] The invention belongs to the technical field of vehicle control for physics education, and in particular relates to a VR virtual driving training and examination method based on deep learning. Background technique [0002] China is a country with a large population. With the rapid development of our country's economy, more and more family cars have entered people's lives. More and more people need to be trained to obtain driver's licenses. Driving schools need more coaches and venues to supply the masses. To learn driving skills. Under the prior art: as the announcement number CN108550301A discloses a method for automatically scoring road driving skill tests based on deep learning, but this method can only complete automatic scoring by relying on real vehicle driving training. Affected by factors such as venue, personnel, and safety, the biggest problem is: firstly, automobile exhaust pollution is serious, which is not economical but also has potentia...

AI Technical Summary

Problems solved by technology

Under the prior art: For example, the announcement number is CN108550301A, which discloses a method for automatically scoring road driving skill tests based on deep learning, but this method can only complete automatic scoring by relying on real vehicle driving training

Affected by factors such as venue, personnel, and safety, the biggest problem is: firstly, automobile exhaust pollution is serious, which is not economical but also has potential safety hazards; Study at a specific time, at a specific location, and require many vehicles

Therefore, limited by the venue, the driving school needs more coaches and venues to supply the masses to learn driving skills. It can be seen that this automatic scoring method for the test is not convenient for the test to be carried out anytime, anywhere, and there are potential safety issues.

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