Automatic driving intelligent car based on optical identification code and control method of intelligent car

Abstract

The invention discloses an automatic driving intelligent car based on an optical identification code and a control method of the intelligent car. The intelligent car comprises an OID identification module, a core board, steering modules, driving modules and a power supply module which are arranged on an intelligent car body; the OID identification module comprises an infrared ray LED light sourceand a CMOS digital image sensor, and the CMOS digital image sensor and the infrared ray LED light source are fixed to the bottom of the intelligent car body; the core board is fixed to a chassis of the car body and provided with a micro control unit, and the micro control unit is connected with the CMOS digital image sensor and controls the driving modules and the steering modules; the steering modules are arranged at front wheels of the car body; the driving modules are arranged at rear wheels of the car body; the power supply module is used for supplying power to the intelligent car body; the intelligent car is driven on a runway printed with a carbon-containing OID base code. A path identification method which can obtain real-time position information of the car is adopted, the performance is improved, and automatic driving of the car is achieved.

Description

technical field [0001] The invention relates to an automatic driving method of a smart car, in particular to an automatic driving smart car based on an optical identification code and a control method thereof. Background technique [0002] Smart cars capable of autonomous driving have always been a research hotspot. This type of smart car recognizes road information through sensors, and the control system controls the drive module and steering module according to the acquired information, so that it has the ability to drive automatically. [0003] Most of the current smart cars use cameras and infrared emission tubes to identify the path. The use of the camera has higher requirements on the algorithm, and the overall volume of the car is larger, while the use of the infrared emission tube to detect the runway has low accuracy and low spatial resolution. At the same time, although the runway is known, the above method cannot judge the specific position of the car on the run...

AI Technical Summary

Problems solved by technology

The use of cameras requires high algorithms, and the overall volume of the car is relatively large, while the use of infrared emission tubes has low detection accuracy and low spatial resolution for the runway.

At the same time, although the runway is known, the above method cannot judge the specific position of the car on the runway, and cannot obtain the road conditions within a certain distance in the future. Therefore, it is necessary to identify the path in real time and limit the driving speed of the car.

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