Conditional bayesian filtering for robot navigation and human tracking

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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Bibliographic Details
Main Author: Liu, Jigang
Other Authors: Deepu Rajan
Format: Thesis
Language:English
Published: 2015
Subjects:
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Online Access:http://hdl.handle.net/10356/65039

Internet

http://hdl.handle.net/10356/65039

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