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State estimation based on observations simultaneously corrupted by random noise with known distribution and uncertainties with known bounds.
Uwe D. Hanebeck
Joachim Horn
Published in:
IROS (1999)
Keyphrases
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random noise
state estimation
kalman filter
state space model
dynamic systems
kalman filtering
particle filter
visual tracking
low signal to noise ratio
particle filtering
random variables
gaussian distribution
estimation problems
closed form