LESSON 11 · PERCEPTION

Read sensors without guessing

Interpret units, frames and validity before making decisions.

Environment and verification

Documented target: Ubuntu 24.04 · ROS 2 Jazzy · Gazebo Harmonic where used. Browser labs tested; ROS/Ubuntu/hardware execution not performed here.

What you will understand

  • Read scan metadata.
  • Handle invalid observations.
  • Explain frame/calibration requirements.

Prerequisites: Build a simulation you can explain and its stated environment.

The idea, made clear.

A LiDAR scan samples ranges at angles derived from its metadata. Invalid, non-finite or out-of-range samples need handling before finding clearance. A missing return is not evidence that travel is safe. The nearest reading across every ray may be beside the robot rather than ahead.

An IMU reports angular velocity and acceleration, sometimes with an orientation estimate. It does not directly supply global position. Check axis convention, gravity treatment and covariance before sensor fusion. Different processing modes can change what a reported acceleration means.

A camera reports pixels, not metric distance by itself. Calibration describes intrinsic geometry and distortion, while the mount transform relates its frame to the robot. Time synchronization becomes important when sensors move with the platform.

Sensor sampleValidity + frameTimestampInterpretation
An original overview of the information or commissioning sequence.

Try it, step by step.

1

Inspect interfaces

Read the message contracts.

lidar-imu-cameras-1.txt
ros2 interface show sensor_msgs/msg/LaserScan
ros2 interface show sensor_msgs/msg/Imu

Expected: Range/angle metadata, timestamps and covariance fields.

2

Observe a topic

Replace /scan with the actual topic in your simulation.

lidar-imu-cameras-2.txt
ros2 topic list
ros2 topic info /scan --verbose
ros2 topic echo /scan --once

Expected: A scan when a compatible endpoint exists.

3

Explore geometry

Move the obstacle in the LiDAR lab; compare forward and nearest rays.

Expected: The nearest obstacle need not be in the direction of travel.

Explore the interactive lab →

If something goes wrong

Minimum range is nonsensical
Filter using validity and message limits.
Fused motion tilts
Inspect axes, gravity handling and covariance.

Check your understanding

What does no LiDAR return prove?

Make it yours

Create a checklist for timestamp, frame, units, range and failures.

Your learning progress

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Go to the source documentation

Commands are educational examples for the stated environment, not a transcript of local ROS execution. Verify actual behavior on your machine.

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