Practice - Advanced Tracking Algorithms
Practice Questions
Test your understanding with targeted questions
What is the main purpose of the Kalman Filter?
💡 Hint: Think about tracking and predictions!
Name one limitation of the standard Kalman Filter.
💡 Hint: Consider scenarios where systems are not linear.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main function of the Kalman Filter?
💡 Hint: Consider what the filter's primary goal is in tracking.
True or False: The Extended Kalman Filter is designed for use with purely linear systems.
💡 Hint: Recall what type of equations EKF deals with.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Given a radar tracking scenario where initial position is (0,0) with a velocity of (1,1) per time unit. The radar shows a position of (1,1) after one unit of time. If the process noise covariance is diag(0.1, 0.1) and measurement noise covariance is diag(0.2, 0.2), compute the updated position using the Kalman Filter.
💡 Hint: Remember the equations governing the Kalman Gain and update process!
In a pursuit scenario, why might a Particle Filter be more effective compared to a Kalman Filter for tracking a helicopter in urban terrain when encountering obstacles?
💡 Hint: Consider how each filter handles uncertainty and non-linear behavior.
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Reference links
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