8.6.2. Algorithms

Try these first

1. 1.

   What is the purpose of the Kalman Filter?

   Hint

   Think about how it helps in measurements.

2. 2.

   What type of systems does the Extended Kalman Filter cater to?

   Hint

   Consider how systems might behave in non-linear contexts.

3. 3.

   What is the primary purpose of the Kalman Filter?

   • To track position
   • To combine data
   • To filter noise

   Hint

   Think about what is meant by 'noise' in the data.

4. 4.

   True or False: The Extended Kalman Filter can be used for linear systems.

   • True
   • False

   Hint

   Consider the primary characteristics of the systems it serves.

5. 5.

   Demonstrate how the Extended Kalman Filter can be implemented in an autonomous vehicle to combine data from GPS and LIDAR.

   Hint

   Consider how each data source contributes to understanding the vehicle's environment.

6. 6.

   Design a simple Bayesian Network to model the relationship between different sensor data inputs: temperature, humidity, and pressure.

   Hint

   Think about how each sensor influences the others and how they collectively impact the outcome.