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How to Use SparkFun Accessories LIDAR-Lite v3: Examples, Pinouts, and Specs

Image of SparkFun Accessories LIDAR-Lite v3
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Introduction

The SparkFun Accessories LIDAR-Lite v3 (SEN-14032) is a compact, high-performance optical distance measurement sensor that utilizes laser-based time-of-flight technology to measure distances accurately. It is capable of measuring distances up to 40 meters with high precision, which makes it an ideal choice for a variety of applications including robotics, unmanned aerial vehicles (UAVs), and general distance sensing.

Explore Projects Built with SparkFun Accessories LIDAR-Lite v3

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
Raspberry Pi 5 Controlled Robotic Vehicle with LIDAR and Camera Module
Image of Autonomous Car: A project utilizing SparkFun Accessories LIDAR-Lite v3 in a practical application
This circuit features a Raspberry Pi 5 connected to a camera module and a TF LUNA LIDAR sensor for visual and distance sensing capabilities. A Mini 360 Buck Converter is used to regulate power from a Li-ion battery to the Raspberry Pi and an Adafruit Motor Shield, which controls four DC motors. The Arduino UNO microcontroller appears to be unused in the current configuration.
Cirkit Designer LogoOpen Project in Cirkit Designer
Arduino-Controlled Autonomous Rover with LIDAR Navigation and Water Detection
Image of Copy of Boat Project: A project utilizing SparkFun Accessories LIDAR-Lite v3 in a practical application
This circuit is designed for a multi-sensor data acquisition and motor control system, powered by a 12V battery with voltage regulation for 5V and 3.3V components. It features an Arduino UNO microcontroller interfaced with a LIDAR sensor, GPS module, RTC module, ESP32-CAM, ESP-8266, multiple water level sensors, and a servo, all for sensing and data collection purposes. Additionally, it controls two DC motors via an L298N motor driver, with the Arduino UNO's firmware responsible for managing sensor readings and motor operations.
Cirkit Designer LogoOpen Project in Cirkit Designer
Raspberry Pi 5 Controlled Robotic Vehicle with LIDAR and IMU
Image of Rover: A project utilizing SparkFun Accessories LIDAR-Lite v3 in a practical application
This circuit features a Raspberry Pi 5 as the central controller, interfaced with a TF LUNA LIDAR sensor for distance measurement and an MPU-6050 for motion tracking via I2C communication. It also includes two L298 motor drivers powered by a 12V battery to control four DC motors, with the Raspberry Pi's GPIO pins used to manage the direction and speed of the motors.
Cirkit Designer LogoOpen Project in Cirkit Designer
Arduino-Controlled Robotics Platform with GPS, LIDAR, and ESP Communication Modules
Image of Boat Project: A project utilizing SparkFun Accessories LIDAR-Lite v3 in a practical application
This circuit is designed to control and monitor various sensors and actuators using an Arduino UNO microcontroller. It includes a LIDAR sensor for distance measurement, a GPS module for location tracking, multiple water level sensors for fluid detection, and a motor driver controlling two DC motors. The system is powered by a 12V battery, with voltage regulation for 3.3V and 5V components, and it features communication between the Arduino, ESP32-CAM, and ESP-8266 for additional functionalities such as wireless control or image capture.
Cirkit Designer LogoOpen Project in Cirkit Designer

Explore Projects Built with SparkFun Accessories LIDAR-Lite v3

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
Image of Autonomous Car: A project utilizing SparkFun Accessories LIDAR-Lite v3 in a practical application
Raspberry Pi 5 Controlled Robotic Vehicle with LIDAR and Camera Module
This circuit features a Raspberry Pi 5 connected to a camera module and a TF LUNA LIDAR sensor for visual and distance sensing capabilities. A Mini 360 Buck Converter is used to regulate power from a Li-ion battery to the Raspberry Pi and an Adafruit Motor Shield, which controls four DC motors. The Arduino UNO microcontroller appears to be unused in the current configuration.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of Copy of Boat Project: A project utilizing SparkFun Accessories LIDAR-Lite v3 in a practical application
Arduino-Controlled Autonomous Rover with LIDAR Navigation and Water Detection
This circuit is designed for a multi-sensor data acquisition and motor control system, powered by a 12V battery with voltage regulation for 5V and 3.3V components. It features an Arduino UNO microcontroller interfaced with a LIDAR sensor, GPS module, RTC module, ESP32-CAM, ESP-8266, multiple water level sensors, and a servo, all for sensing and data collection purposes. Additionally, it controls two DC motors via an L298N motor driver, with the Arduino UNO's firmware responsible for managing sensor readings and motor operations.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of Rover: A project utilizing SparkFun Accessories LIDAR-Lite v3 in a practical application
Raspberry Pi 5 Controlled Robotic Vehicle with LIDAR and IMU
This circuit features a Raspberry Pi 5 as the central controller, interfaced with a TF LUNA LIDAR sensor for distance measurement and an MPU-6050 for motion tracking via I2C communication. It also includes two L298 motor drivers powered by a 12V battery to control four DC motors, with the Raspberry Pi's GPIO pins used to manage the direction and speed of the motors.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of Boat Project: A project utilizing SparkFun Accessories LIDAR-Lite v3 in a practical application
Arduino-Controlled Robotics Platform with GPS, LIDAR, and ESP Communication Modules
This circuit is designed to control and monitor various sensors and actuators using an Arduino UNO microcontroller. It includes a LIDAR sensor for distance measurement, a GPS module for location tracking, multiple water level sensors for fluid detection, and a motor driver controlling two DC motors. The system is powered by a 12V battery, with voltage regulation for 3.3V and 5V components, and it features communication between the Arduino, ESP32-CAM, and ESP-8266 for additional functionalities such as wireless control or image capture.
Cirkit Designer LogoOpen Project in Cirkit Designer

Common Applications and Use Cases

  • Obstacle detection and avoidance for robotics
  • UAV altitude and position control
  • Level and volume measurement
  • Security and surveillance systems
  • Environmental scanning and 3D mapping

Technical Specifications

Key Technical Details

  • Operating Voltage: 4.75 - 5 VDC
  • Current Consumption: 105 mA during acquisition, 8 mA idle
  • Range: 0 to 40 meters
  • Resolution: 1 cm
  • Accuracy: +/- 2.5 cm at distances greater than 1 meter
  • Laser Class: Class 1
  • Interface: I2C or PWM

Pin Configuration and Descriptions

Pin Number Name Description
1 +5V Power supply input (4.75 - 5 VDC)
2 GND Ground connection
3 SCL I2C clock signal
4 SDA I2C data signal
5 MODE Mode control (PWM or I2C)
6 INT Interrupt (LIDAR has made a distance measurement)

Usage Instructions

How to Use the Component in a Circuit

  1. Power Supply: Connect the +5V and GND pins to a stable 5V power supply.
  2. I2C Communication: Connect the SCL and SDA pins to the corresponding I2C clock and data lines on your microcontroller.
  3. Mode Selection: The MODE pin can be left unconnected for default I2C operation or connected to GND for PWM mode.
  4. Interrupts (Optional): The INT pin can be connected to an interrupt-capable GPIO pin on your microcontroller to detect when a new measurement is available.

Important Considerations and Best Practices

  • Ensure that the power supply is stable and within the specified voltage range.
  • Avoid exposing the sensor to direct sunlight or other strong light sources that could interfere with the measurements.
  • Keep the sensor's optical path clean and unobstructed.
  • For accurate measurements, allow the sensor to warm up for a short period after powering on.
  • Use proper I2C pull-up resistors if they are not already present on your microcontroller board.

Example Code for Arduino UNO

#include <Wire.h>

// LIDAR-Lite I2C address
const int LIDARLite_ADDRESS = 0x62;

// Function to read a two-byte value from a given register address
int readLIDARLite(int reg) {
  Wire.beginTransmission(LIDARLite_ADDRESS);
  Wire.write(reg); // Register to read from
  Wire.endTransmission();

  // Request 2 bytes from the sensor
  Wire.requestFrom(LIDARLite_ADDRESS, 2);
  if (Wire.available() >= 2) {
    int val = Wire.read() << 8; // Read high byte
    val |= Wire.read();         // Read low byte
    return val;
  }
  return 0; // Return 0 if no data available
}

void setup() {
  Wire.begin(); // Initialize I2C
  Serial.begin(9600); // Start serial communication at 9600 baud
}

void loop() {
  int distance = readLIDARLite(0x8f); // Read distance from LIDAR-Lite
  Serial.print("Distance: ");
  Serial.print(distance);
  Serial.println(" cm");
  delay(1000); // Wait for 1 second before next reading
}

Troubleshooting and FAQs

Common Issues Users Might Face

  • Inaccurate Readings: Ensure there are no obstructions in front of the sensor and that the sensor is not facing highly reflective surfaces.
  • No Data on I2C: Check the wiring, ensure proper pull-up resistors are in place, and verify that the correct I2C address is being used.
  • Intermittent Operation: Make sure the power supply is stable and within the specified voltage range.

Solutions and Tips for Troubleshooting

  • Power Issues: Use a multimeter to verify the voltage at the sensor's power input.
  • Connection Issues: Double-check all connections and solder joints for continuity and proper contact.
  • I2C Communication: Use an I2C scanner sketch to confirm that the sensor is detected on the I2C bus.

FAQs

Q: Can the LIDAR-Lite v3 be used outdoors? A: Yes, but it may be less effective in direct sunlight or adverse weather conditions.

Q: What is the maximum I2C bus speed for the LIDAR-Lite v3? A: The LIDAR-Lite v3 supports standard (100 kHz) and fast (400 kHz) I2C speeds.

Q: How can I increase the measurement rate? A: You can increase the measurement rate by reducing the acquisition time. Refer to the manufacturer's documentation for specific register settings.

Q: Is the LIDAR-Lite v3 compatible with 3.3V systems? A: While the sensor requires a 5V power supply, the I2C logic is 3.3V compatible with proper level shifting.

For further assistance, consult the manufacturer's detailed datasheet and user manual.