Artificial intelligence driverless course teaching aid

Abstract

The invention relates to the technical field of artificial intelligence teaching aids. The invention further discloses an artificial intelligence driverless course teaching aid that comprises an intelligent trolley body; a driving module, a camera and a battery are embedded and fixed on the intelligent trolley body; the intelligent trolley body uses a raspberry pi carrying a Linux system as a control center. A deep learning related algorithm image identification code is embedded in the intelligent trolley body; the driving module, the camera and the battery are connected with the Raspberry Piin the intelligent trolley body; an image recognition technology is embedded into the intelligent trolley; teachers can use the teaching aid to simulate a real unmanned scene; students are helped to understand the basic principle of a deep learning algorithm in image recognition; codes in the intelligent trolley simplify a large number of bottom layer codes, explanation is conducted according to functional modules, so teaching of teachers and understanding, application and use of modular program codes of students can be facilitated, map data collection, training and testing are achieved, and the intelligent driverless course teaching aid can automatically run along a map setting route.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence teaching aids, in particular to an artificial intelligence unmanned driving course teaching aid. Background technique [0002] As a classic application of artificial intelligence, driverless cars are a kind of smart cars, which mainly rely on the on-board sensor system to perceive the road environment, use the computer in the car to automatically plan the driving route and control the vehicle, so that the vehicle can drive on the road safely and reliably, without Key technologies such as image recognition in artificial intelligence are used by human-driven cars to perceive the road environment. Learning unmanned driving technology can help students better understand artificial intelligence. Image recognition technology refers to the processing, analysis and understanding of images by computers. Among the program algorithms for image recognition, the convolutional neural network in ...

AI Technical Summary

Problems solved by technology

[0004] In view of the deficiency of the above-mentioned background technology, the present invention provides an artificial intelligence unmanned driving course teaching aid, which has the advantages of being convenient for teachers to teach and students to understand and use, and the smart car can complete all operations in an offline state without connecting to the Internet, and solves the problem of Complex network environment issues in different schools in educational scenarios

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