This paper illustrates that the combination of the unscented transform and numerical integration can provide significantly more accurate stochastic predictions of the future state of a nonlinear system for potentially less computation time than similar Kalman-like routines. Within the context of this paper, this improvement is shown in the vehicular path prediction environment, where computation power and memory are kept at an affordable level.
Stochastic Path Prediction using the Unscented Transform with Numerical Integration
2007-09-01
1336024 byte
Conference paper
Electronic Resource
English
Conjugate Unscented Transform and its Application to Filtering and Stochastic Integral Calculation
British Library Conference Proceedings | 2012
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