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Raspbot📖
1.First Trial and Installation
  • 1.1 Installation video
  • 1.2 First Trial
2.Remote control course
  • 2.1 APP control car
  • 2.2 IR control car
3.Preparation
  • 3.1 Preparation
  • 3.2 Run a code on JupyterLab
  • 3.5 TF card expand capacity
4.OpenCV Basic course
A.Getting started with OpenCV
  • 1.Introduction of OpenCV
  • 2.OpenCV image read and display
  • 3.OpenCV image write
  • 4.OpenCV image quality
  • 5.OpenCV pixel operation
B.OpenCV Geometric transformat
  • 1.Picture Zoom
  • 2.Picture Cut
  • 3.Picture Shift
  • 4.Picture Mirroring
  • 5.Affine Map
  • 6.Picture Rotation
  • 7.Perspective Transformation
C.OpenCV picture processing
  • 1.Grayscale processing
  • 2.Image Binarization
  • 3.Edge detection
  • 4.Drawing line segment
  • 5.Drawing rectangle circle
  • 6.Drawing text picture
D.OpenCV image beautification
  • 1.Histogram of color pictures
  • 2.Histogram equalization
  • 3.Image restoration
  • 4.Brightness enhancement
  • 5.Skin whitening
  • 6.Gaussian mean filtering
  • 7.Median filtering
E.OpenCV machine learning
  • 1.KNN recognition of handwritten numbers
  • 2.CNN recognition of handwritten numbers
  • 3.SVM recognition of handwritten numbers
5.Hardware Control course
  • 5.1 Drive buzzer
  • 5.2 Drive motor
  • 5.3 Drive servo
  • 5.4 Ultrasonic ranging
  • 5.5 Ultrasonic avoid
  • 5.6 Ultrasonic+IR avoid
  • 5.7 Tracking
  • 5.8 Restricting
  • 5.9 Drive LED
  • 5.10 IR control test
  • 5.11 IR control car
6.AI vision course
  • 6.1 Driver camera
  • 6.2 Color recognition
  • 6.3 HSV value test
  • 6.4 Camera color tracking
  • 6.5 Car color tracking
  • 6.6 Tensorflow object recognition
  • 6.7 QR code recognition
  • 6.8 QR code control
  • 6.9 Face detection
  • 6.10 Face tracking
  • 6.11 Autopilot
7.Battery and charging
  • Battery and charging
Download
  • APP(iOS/Android)
  • Code
  • Download image
  • Instruction manual
  • More Annex
Download ZIP
FAQ
  • 1、Raspbot-Raspberry Pi 4b version desktop connection WiFi method
  • 2、Can't connect your home WiFi
  • 3、How to check IIC function on Raspbot
  • 4、Gesture recognition cannot work normally.
  • 5、How to write image file into SD card

Welcome to Raspbot repository

5.5 Ultrasonic avoid

 

1. Learning target

In this course, we will learn how to use ultrasonic module completes obstacle avoidance experiment.

2. Principle of experimental

The ultrasonic module is a sensor that uses ultrasonic characteristics to detect the distance. It has two ultrasonic probes for transmitting and receiving ultrasonic waves. The range of measurement is 3-450 cm.

image.png 

(1) You need to input a high level signal of at least 10us to the Trig pin to trigger the ranging function of the ultrasonic module.                     

image.png 

(2) After the ranging function is triggered, the module will automatically send out 8 ultrasonic pulses with 40 kHz and automatically detect whether there is a signal return. This step is done internally by the module.

image.png 

(3)  When the module detects an echo signal, the ECHO pin will output a high level. The high level duration is the time from when the ultrasonic wave is sent to when it returns. You can calculate the distance by using the time function to calculate the high level duration. 

Formula: Distance = High level duration * Speed of sound(340M/S)/2.

For the Raspbot car, we use 4 TT DC gear motors. They are driven by the AT8236 chip. The driver chip is not directly connected to the Raspberry Pi pins.

Raspberry Pi communicates with STM8 MUC through IIC, and then STM8 MCU drives AT8236 chip to drive the motor.

3. Coding method

In this course, we use BOARD coding method.

According to the hardware interface manual, we see that the ultrasonic Echo and Trig pins are connected to the 18 and 16 pin of the Raspberry Pi board.

STM8 is connected to SDA.1, SCL.1 on the Raspberry Pi board.

We have provided a library text dedicated to driving motors and servos --YB_Pcb_Car.py.

The pin comparison table of Raspberry Pi as shown below.

image.png 

4. About code

Path: /home/pi/Yahboom_project/Raspbot/2.Hardware Control course/5.Ultrasonic avoid/Ultrasonic avoid.ipynb

1) Import time, GPIO and YB_Pcb_Car library

image.png 

2)Set the GPIO coding mode , define ultrasonic module pin, and define the car class is used to drive motors or servos.

image.png 

image.png 

3)Define the ultrasonic ranging function

We need to set a high level signal of at least 10us to the TRIG pin of the ultrasonic module to trigger the module's ranging function.

image.png 

4) Define the ultrasonic ranging optimization program to optimize the test results.

image.png 

5) Define the avoid function to complete the ultrasonic obstacle avoidance function of the car.

image.png 

6) Call the obstacle avoidance function in loop to complete the obstacle avoidance experiment.

When we click the stop button, we exit the loop, stop the car, and clear the car class and GPIO.

image.png 

5. Running code

Click the button shown in the figure below to run the program on the Jupyter Lab interface

image.png 

6. Experimental phenomenon

After the program runs, we can see that the car will move forward, and it will avoid obstacles when it encounters obstacles in front of it.


Ultrasonic ranging
Ultrasonic+IR avoid

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