Autonomous tracking intelligent vehicle based on machine vision
A machine vision and smart car technology, applied in the field of smart cars, can solve the problems of small car detection range, inability to accurately control the direction of the car, and inconvenient use, so as to improve real-time performance and facilitate viewing and debugging.
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Embodiment 1
[0020] Embodiment 1: As shown in the figure, an autonomous tracking smart car based on machine vision includes a car body, and also includes a main controller 1, a secondary controller 2, a machine vision module 3, and an obstacle avoidance module arranged on the car body. Module 4, attitude inspection module 5, motor drive module 6, speed detection module 7, human-computer interaction module 8 and wireless communication module 9, wherein, machine vision module 3 and obstacle avoidance module 4 are electrically connected with sub-controller 2 respectively, and sub-controller 2 The controller 2 is used to transmit track information and obstacle information to the main controller 1 through serial port communication, and the posture inspection module 5, motor drive module 6, speed detection module 7, human-computer interaction module 8 and wireless communication module 9 are respectively It is electrically connected with the main controller 1, and the wireless communication module...
Embodiment 2
[0021] Embodiment two: as shown in the figure, other structure is identical with embodiment one, and its difference is, machine vision module 3 adopts chip and is the general drill wind of the gray-scale digital camera of MT9V034, and it is used for real-time acquisition track image and conversion After the grayscale image is sent to the sub-controller 2, the sub-controller 2 is used to binarize the image according to the grayscale image, and after extracting the boundary line of the track, through the steps of linear regression and center fitting, the race track is obtained. At the same time, the deviation value between the car body and the track center line is also obtained. Finally, according to the template feature matching, the track type is judged, track information is obtained, and sent to the main controller 1. In this structure, the image collected by the machine vision module 3 is a grayscale image, which contains a lot of interference information. Therefore, it is ne...
Embodiment 3
[0023] Embodiment 3: As shown in the figure, other structures are the same as Embodiment 2, and the difference is that the model of the posture inspection module 5 is ICM20602, which is used to collect the current vehicle body motion posture information in real time and feed it back to the main controller 1 . In this structure, the attitude inspection module 5 adopts a gyroscope with the model ICM20602, which can detect the three-axis acceleration and angular velocity, and makes the car more stable in the process of the situation through the inspection of the attitude of the car. This module is installed in the middle and rear of the car. , will make the data more stable and will not be affected by uneven deflection.
[0024] The motor drive module 6 is used to move according to the motion command of the main controller 1, and it includes two DC motors, and the two DC motors are driven by four BTS7970 half-bridge drive chips. Among them, the 74LVC245 isolation chip is also us...
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