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MicroROS-Pi5📖
01. Introduction
  • 0.Unpacking and reviewing video
  • 1. ReadMe - learning route
  • 2. Introduction to lidar
  • 3. Introduction to microROS control board
  • 4. FAQ
  • 5. About charging
02. Assembly course
  • Assembly steps
03. Preparation
  • First Trial
  • 1. Write firmware
  • 2. MicroROS control board parameter configuration
  • 3. Connect to MicroROS agent
  • 4. Connect to WIFI in hotspot mode
04. Quick start control course
  • 1. Self start handle control
  • 2. Close the self-starting handle control process
  • 3. Quick start keyboard control
  • 4. Map navigation and APP control
05. Robot basic course
  • 1. Robot information release
  • 2. Robot keyboard control
  • 3. Robot handle control
  • 4. Robot state estimation
  • 5. Linear speed calibration
  • 6. Angular velocity calibration
  • 7. Robot URDF model
06. ROS+OpenCV course
  • 1. Getting started with Opencv CV
  • 2. Geometric transformation
  • 3. Image processing and drawing
  • 4. Open Source CV image beautification
  • 5. QR code creation and recognition
  • 6. AR vision
  • 7. ROS+Opencv application
07. Mediapipe course
  • 1. Hand detection
  • 2. Posture detection
  • 3. Overall detection
  • 4. Face detection
  • 5. Face recognition
  • 6. Face effects
  • 7. 3D object recognition
  • 8. Brush
  • 9. Finger control
  • 10 .Gesture recognition
08. Robot visual interaction
  • 1. Monocular camera calibration
  • 2. Color tracking
  • 3. Object recognition and tracking
  • 4. Face recognition tracking
  • 5. Autonomous driving line patrol
  • 6. QR code motion control
  • 7. Gesture control of basic movement of the car
  • 8. Control the car movement with your palm
  • 9. Gesture control car action group
  • 10. Palm control of the two-dimensional gimbal servo
09. Lidar course
  • 1. Lidar avoid
  • 2. Lidar following
  • 3. Lidar guard
  • 4. Lidar patrol
  • 5. Gmapping mapping
  • 6. Cartographer mapping
  • 7. Navigation2 navigation avoid
  • 8. ROS Robot APP mapping
  • 9. ROS Robot APP navigation
10. Multi-machine course
  • 1. Multi-machine handle control
  • 2. Multi-machine keyboard control
  • 3. Multi-machine navigation
11. Linux basic course
  • 1. Introduction to Linux system
  • 2. Ubuntu file system
  • 3. Ubuntu common commands
  • 4. Ubuntu common editors
  • 5. Ubuntu software operation commands
  • 6. Virtual machine installation
  • 7. SSH remote control
  • 8. VNC remote control
  • 9. Transfer files remotely
  • 10. Driver library and communication
  • 11. Static IP and hotspot mode
  • 12. Bind device ID
  • 13. Capacity expansion and resource allocation
  • 14. Update system software sources
  • 15. Set root user password
  • 16. sudo free password
  • 17. Connect to WiFi network
  • 18. View system version
  • 19. Customized service management
  • 20. Back up system image
12. RPi basic setting course
  • 1. Update and upgrade operating system
  • 2. Introduction to raspi-config tool
  • 3. config.txt file description
  • 4. Network Configuration
  • 5. remote access
  • 6. Transfer files remotely
  • 7. Set display resolution and rotation
  • 8. Set screen to sleep
  • 9. Get real-time temperature of Raspberry Pi
  • 10. Play audio and video
  • 11. Using USB camera
  • 12. Using MIPI camera
13. Docker course
  • 1. Overview and installation
  • 2. Common commands
  • 3. Docker images deeply understand and publish images
  • 4. Docker hardware interaction and data processing
  • 5. Enter the robot's docker container
14. ROS2 basic course
  • 1. Introduction to ROS2
  • 2. ROS2 install Humble
  • 3. ROS2 development environment
  • 4. ROS2 workspace
  • 5. ROS2 function package
  • 6. ROS2 node
  • 7.ROS2 topic communication
  • 8.ROS2 service communication
  • 9.ROS2 action communication
  • 10.ROS2 custom interface message
  • 11.ROS2 parameter service case
  • 12.ROS2 meta-function package
  • 13.ROS2 distributed communication
  • 14.ROS2 DDS
  • 15.ROS2 time related API
  • 16.ROS2 common command tools
  • 17.ROS2 rviz2 use
  • 18.ROS2 rqt toolbox
  • 19.ROS2 Launch startup file configuration
  • 20.ROS2 recording and playback tool
  • 21.ROS2 URDF model
  • 22.ROS2 Gazebo simulation platform
  • 23.ROS2 TF2 coordinate transformation
15. microROS control board development environment
  • 1. Introduction to microROS control board
  • 2. Set up ESP32-IDF development environment
  • 3. ESP32-IDF configuration tool
  • 4. Install ESP32-microros components
  • 5. Install and start microROS agent
  • 6. Flash-tool burning firmware
16. ESP32 basic course
  • 1. Turn on the LED light
  • 2. Button function
  • 3. Drive the buzzer
  • 4. Serial communication
  • 5. Battery voltage detection
  • 6. Drive PWM servo
  • 7. Drive motor
  • 8. Read motor encoder data
  • 9. PID controls car speed
  • 10. Read IMU data
  • 11. Read radar data
  • 12. Flash access data
  • 13. Partition table and memory
  • 14. Bluetooth communication
  • 15. WiFi networking
  • 16. Robot kinematics analysis
  • 17.ROS-WiFi camera module
17. microROS basic course
  • 1. Publish topic
  • 2. Subscribe topic
  • 3. Multi-topic subscribe and publish
  • 4. Subscribe buzzer topics
  • 5. Subscribe PWM servo topics
  • 6. Subscribe speed control topics
  • 7. Release speed topic
  • 8. Release IMU data topic
  • 9. Publish lidar data topics
  • 10. Customized transmission method
Download
  • Mapping_APP(iOS_Android)
  • Source code
  • Hardware information
  • VM image file
  • RPi5 imgae file
  • Instruction Manual
  • 3D Model File
  • ROS2_Basic_VM
Download ZIP
FAQ
  • 1、1.USB camera abnormal termination

Welcome to MicroROS-Pi5 repository

当製品の日本語版マニュアル資料は、こちらからご取得ください。

11. Read radar data

Read radar data

Read radar data1. Experimental purpose2. Hardware connection3. Core code analysis4. Compile and download the burning firmware5. Experimental results

1. Experimental purpose

Use the radar interface of the microROS control board to learn ESP32 to read the MS200 lidar data through serial port 1 and parse the radar data packets.

 

2. Hardware connection

As shown in the figure below, the microROS control board integrates the MS200 lidar interface. You need to connect the MS200 lidar cable to the microROS control board and lidar. You also need to connect the type-C data cable to the computer and the microROS control board as a burning Firmware features.

image-20240112163507890

The MS200 lidar interface cable has an anti-reverse connection function and can be inserted directly into the interface.

image-20240112173042656

 

3. Core code analysis

The virtual machine path corresponding to the program source code is as follows

~/esp/Samples/esp32_samples/read_lidar

Since the MS200 lidar uses serial port communication, serial port 1 of ESP32S3 is selected to communicate with the MS200 lidar. UART1_GPIO_TXD of serial port 1 corresponds to hardware GPIO17, UART1_GPIO_RXD of serial port 1 corresponds to hardware GPIO18, and the baud rate is set to 230400.

​x
void Uart1_Init(void)
{
    const uart_config_t uart_config = {
        .baud_rate = 230400,
        .data_bits = UART_DATA_8_BITS,
        .parity = UART_PARITY_DISABLE,
        .stop_bits = UART_STOP_BITS_1,
        .flow_ctrl = UART_HW_FLOWCTRL_DISABLE,
        .source_clk = UART_SCLK_DEFAULT,
    };

    uart_driver_install(UART_NUM_1, RX1_BUF_SIZE * 2, 0, 0, NULL, 0);
    uart_param_config(UART_NUM_1, &uart_config);
    uart_set_pin(UART_NUM_1, UART1_GPIO_TXD, UART1_GPIO_RXD, UART_PIN_NO_CHANGE, UART_PIN_NO_CHANGE);
    
    RingBuffer_Init(&uart1_ringbuf, RX1_BUF_SIZE);

    xTaskCreate(Uart1_Rx_Task, "Uart1_Rx_Task", 5*1024, NULL, configMAX_PRIORITIES, NULL);
}

MS200 lidar analyzes system messages.

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static void Ms200_Parse_Report(uint8_t* protocol_buf)
{
    int i;
    uint8_t data_len = protocol_buf[3];
    uint8_t crc8 = protocol_buf[data_len+4];
    if(protocol_buf[data_len+5] != MS200_TAIL_1 || protocol_buf[data_len+6] != MS200_TAIL_2) return;
    if (crc8 != Ms200_Calculate_CRC8(protocol_buf, data_len+4))
    {
        YB_DEBUG(TAG, "CRC8 Check Error");
        return;
    }
    
    // 判断SN码标志位,并保存SN码信息
    // Determine the SN flag bit and save the SN information
    if(protocol_buf[2] == MS200_FLAG_SN)
    {
        for (i = 0; i < data_len; i++)
        {
            ms200_sn[i] = protocol_buf[4 + i];
        }
        ESP_LOGI(TAG, "SN:%s", ms200_sn);
    }
    // 判断版本标志位,并保存版本信息
    // Determine the version flag bit and save the version information
    else if (protocol_buf[2] == MS200_FLAG_VERSION)
    {
        for (i = 1; i < data_len; i++)
        {
            ms200_version[i-1] = protocol_buf[4 + i];
        }
        ESP_LOGI(TAG, "%s", ms200_version);
    }
}

MS200 lidar parses point cloud data packets based on the received protocol data.

xxxxxxxxxx
static int Ms200_Parse_Package(uint8_t* protocol_buf, ms200_package_t* out_pkg)
{
    uint8_t buf_len = (protocol_buf[1] & 0x1F) * 3 + 11;
    uint8_t check_num = protocol_buf[buf_len-1];
    uint8_t crc8 = Ms200_Calculate_CRC8(protocol_buf, buf_len-1);
    if (crc8 != check_num)
    {
        YB_DEBUG(TAG, "CRC Error:%d, %d", crc8, check_num);
        return ESP_FAIL;
    }

    out_pkg->header = protocol_buf[0];
    out_pkg->count = protocol_buf[1] & 0x1F;
    out_pkg->speed = (protocol_buf[3] << 8) | protocol_buf[2];
    out_pkg->start_angle = (protocol_buf[5] << 8) | protocol_buf[4];
    out_pkg->end_angle = (protocol_buf[buf_len-4] << 8) | protocol_buf[buf_len-5];
    out_pkg->time_stamp = (protocol_buf[buf_len-2] << 8) | protocol_buf[buf_len-3];
    out_pkg->crc8 = protocol_buf[buf_len-1];

    for (int i = 0; i < MS200_POINT_PER_PACK; i++)
    {
        out_pkg->points[i].distance = (protocol_buf[3*i+7] << 8) | protocol_buf[3*i+6];
        out_pkg->points[i].intensity = protocol_buf[3*i+8];
    }
    return ESP_OK;
}

According to the point cloud data package, the relevant angle data is extracted. Special processing is added here. When the scanning angle passes from before 360 degrees to after 0 degrees, the angle value needs to be converted.

xxxxxxxxxx
static void Ms200_Update_Data(ms200_package_t* pkg, ms200_data_t* out_data)
{
    uint16_t step_angle = 0;
    uint16_t angle = 0;
    if (pkg->end_angle > pkg->start_angle)
    {
        // 正常情况 normal codition
        step_angle = (pkg->end_angle - pkg->start_angle) / (pkg->count - 1);
    }
    else
    {
        // 特殊情况(0度):结束角度小于开始角度
        // Special case: The end Angle is smaller than the start Angle
        step_angle = (36000 + pkg->end_angle - pkg->start_angle) / (pkg->count - 1);
    }
    for (int i = 0; i < pkg->count; i++)
    {
        angle = ((pkg->start_angle + i * step_angle) / 100) % MS200_POINT_MAX;
        out_data->points[angle].distance = pkg->points[i].distance;
        out_data->points[angle].intensity = pkg->points[i].intensity;
    }
}

Get data from MS200 lidar.

xxxxxxxxxx
void Ms200_Get_Data(ms200_data_t* out_data)
{
    *out_data = ms200_data;
}

Create a new task of MS200 lidar analysis data and extraction of radar data.

xxxxxxxxxx
static void Lidar_Ms200_Task(void *arg)
{
    ESP_LOGI(TAG, "Start Lidar_Ms200_Task with core:%d", xPortGetCoreID());
    uint16_t rx_count = 0;
    
    while (1)
    {
        rx_count = Uart1_Available();
        if (rx_count)
        {
            // Uart1_Clean_Buffer();
            for (int i = 0; i < rx_count; i++)
            {
                Ms200_Data_Receive(Uart1_Read());
            }
        }
        if (Ms200_New_Package())
        {
            Ms200_Clear_New_Package_State();
            Ms200_Get_Data(&lidar_data);
        }
        else
        {
            vTaskDelay(pdMS_TO_TICKS(1));
        }
    }

    vTaskDelete(NULL);
}

Read the distance detected by the MS200 lidar at a certain point, in millimeters.

xxxxxxxxxx
uint16_t Lidar_Ms200_Get_Distance(uint16_t point)
{
    if (point < MS200_POINT_MAX)
    {
        return lidar_data.points[point].distance;
    }
    return 0;
}

In app_main, call the Uart1_Init function to initialize serial port 1 and Lidar_Ms200_Init to initialize the lidar. Then, in the loop, read the distances of the MS200 lidar in the four directions of 0 degrees, 90 degrees, 180 degrees, and 270 degrees every 200 milliseconds, and print them out.

xxxxxxxxxx
void app_main(void)
{
    printf("hello yahboom\n");
    ESP_LOGI(TAG, "Nice to meet you!");

    Uart1_Init();
    Lidar_Ms200_Init();
    vTaskDelay(pdMS_TO_TICKS(1000));

    uint16_t points[4] = {0, 90, 180, 270};
    uint16_t distances[4] = {0};
    while (1)
    {
        for (int i = 0; i < 4; i++)
        {
            distances[i] = Lidar_Ms200_Get_Distance(points[i]);
        }
        ESP_LOGI(TAG, "distance:%d, %d, %d, %d", distances[0], distances[1], distances[2], distances[3]);
        vTaskDelay(pdMS_TO_TICKS(200));
    }
}

 

4. Compile and download the burning firmware

Use a Type-C data cable to connect the virtual machine/computer and the microROS control board. If the system pops up, choose to connect to the virtual machine.

Activate the ESP-IDF development environment. Note that every time you open a new terminal, you need to activate the ESP-IDF development environment before compiling the firmware.

xxxxxxxxxx
source ~/esp/esp-idf/export.sh

Enter the project directory

xxxxxxxxxx
cd ~/esp/Samples/esp32_samples/read_lidar

Compile, flash, and open the serial port simulator

xxxxxxxxxx
idf.py build flash monitor

If you need to exit the serial port simulator, press Ctrl+].

 

5. Experimental results

The serial port simulator prints the "hello yahboom" greeting. And every 200 milliseconds, the distance detected by the MS200 lidar in four directions of 0 degrees, 90 degrees, 180 degrees, and 270 degrees is printed. Among them, the direction indicated by the MS200 lidar arrow is 0 degrees, and the angle increases clockwise. At this time, you can block one of the directions with your hand and observe its numerical changes.

image-20240116145434323

image-20240112173837427

 

Read IMU data
Flash access data

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