Analyzing Real-Life Pedestrian Measurements Using Kalman Filters
<p> We study pedestrian dynamics using Kalman filtering methods. Kalman filters apply the Bayesian approach to a time series and incorporate the uncertainty in both the measurement and the mathematical model to create a better state estimate of a system, and are commonly used to reduce error i...
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| Language: | EN |
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California State University, Long Beach
2019
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| Online Access: | http://pqdtopen.proquest.com/#viewpdf?dispub=10979263 |