Conditional bayesian filtering for robot navigation and human tracking
As a model for estimating the state of a dynamical system through noisy measurements, Bayesian filtering (BF) has become one of the fastest growing research fields in the last decade. Bayesian filtering techniques play an important role in a wide variety of engineering applications such as navigatio...
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Format: | Theses and Dissertations |
Language: | English |
Published: |
2015
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Online Access: | http://hdl.handle.net/10356/65039 |
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Institution: | Nanyang Technological University |
Language: | English |