Intelligent vehicle control system and method based on gray scale camera detection
A control method and technology for a control system, which are applied in the field of intelligent vehicle control systems based on gray-scale camera detection, can solve the problems of misjudging a slope as an obstacle, increasing the amount of chip data calculation, and low detection efficiency, and achieving a simple circuit. The effect of compactness, reduced system load, and high storage capacity
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Embodiment 1
[0149] The intelligent car control system that the present invention relates to adopts following technical scheme:
[0150] The smart car control system provided by the present invention uses the MK60FX512VLQ15 (32-bit) single-chip microcomputer of NXP Semiconductors as the core processor, adopts the CMOS grayscale camera MT9V032 image acquisition module as the main module, and the ultrasonic ranging module and electromagnetic induction device to assist in obtaining road information , through the image processing algorithm to directly process the grayscale array to identify the track elements and obtain the expected speed; at the same time, the incremental encoder is used to obtain the real-time speed of the car, and then the PID algorithm is used to realize the closed-loop control of the speed of the car and the steering gear steering control . In the test, the design of the entire control system above can effectively ensure that the car runs smoothly and quickly on the track...
Embodiment 2
[0169] Such as figure 2 As shown, the intelligent car control system based on grayscale camera detection provided by the embodiment of the present invention is composed of four parts: sensor acquisition, signal processing, control algorithm, and executive mechanism, wherein MK60FX512VLQ15 (32-bit) single-chip microcomputer of NXP Semiconductors is used as The core processor adopts the CMOS grayscale camera MT9V032 image acquisition module as the main module, the ultrasonic ranging module and the electromagnetic induction device to assist in obtaining road information, and directly processes the grayscale array through the image processing algorithm to identify the elements of the track and obtain the expected speed ; At the same time, the incremental encoder is used to obtain the real-time speed of the trolley, and then the PID algorithm is used to realize the closed-loop control of the RN380 motor of the trolley and the steering control of the S3010 steering gear. Finally, t...
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