Using sensor models for interpreting sensor readings

When interpreting the measurements of a sensor, you need also to address the uncertainty that is on the sensor measurements, for example, when a sonar sensor detects a reading at a distance X if that reading is really an obstacle or if it can be a false reading, address it’s accuracy. Sensor models are a way to address this issue by describing how to interpret a sensor measurement.

Sensor models can be generated using certain techniques:

• Empirical methods: by testing sensor data
• Analytical methods: by understanding the physical properties of the physical device
• Subjective methods: based on the designer experience.

An example of a sensor model commonly used is the sonar sensor model 20220228203000.

Notes References

20210514185016 Robotics Sensors - Basics

20210514183815 INDEX - Robotics

References

(Murphy 2000)

Murphy, Robin. 2000. Introduction to AI Robotics. Intelligent Robotics and Autonomous Agents. Cambridge, Mass: MIT Press.