Working with a laser rangefinder

Documentation for the image, versions, starting with 0.20. For older versions refer to documentation for version 0.19.

VL53L1X Rangefinder

The rangefinder model recommended for Clover is STM VL53L1X. This rangefinder can measure distances from 0 to 4 m while ensuring high measurement accuracy.

The image for Raspberry Pi contains pre-installed corresponding ROS driver.

Connecting to Raspberry Pi

We recommend using our custom PX4 firmware for Clover for best laser rangefinder support.

Connect the rangefinder to the 3V, GND, SCL and SDA pins via the I²C interface:

Connecting VL53L1X

If the pin marked GND is occupied, you can use any other ground pin (look at the pinout for reference).

You can connect several peripheral devices via the I²C interface simultaneously. Use a parallel connection for that.

Enabling the rangefinder

Connect via SSH and edit file ~/catkin_ws/src/clover/clover/launch/clover.launch so that the VL53L1X driver is enabled:

<arg name="rangefinder_vl53l1x" default="true"/>

By default, the rangefinder driver sends the data to Pixhawk via the /rangefinder/range topic. To view data from the topic, use the following command:

rostopic echo /rangefinder/range

PX4 settings

PX4 should be properly configured to use the rangefinder data.

Set the following parameters when EKF2 is used (SYS_MC_EST_GROUP = ekf2):

  • EKF2_HGT_MODE = 2 (Range sensor) – for flights over horizontal floor;
  • EKF2_RNG_AID = 1 (Range aid enabled) – in other cases.

Set the following parameters when LPE is used (SYS_MC_EST_GROUP = local_position_estimator, attitude_estimator_q):

  • The "pub agl as lpos down" flag should be set in the LPE_FUSION parameter – for flights over horizontal floor.

Receiving data in Python

In order to receive data from the topic, create a subscriber:

from sensor_msgs.msg import Range

# ...

def range_callback(msg):
    # Process data from the rangefinder
    print 'Rangefinder distance:', msg.range

rospy.Subscriber('rangefinder/range', Range, range_callback)

Also it's possible to read one rangefinder measurement at a time:

from sensor_msgs.msg import Range

# ...

data = rospy.wait_for_message('rangefinder/range', Range)

Data visualization

You may use rqt_multiplot tool to plot rangefinder data.

rviz may be used for data visualization. To do this, add a topic of the sensor_msgs/Range type to visualization:

Range in rviz

Read more about rviz and rqt.

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