Overview
In chapter 5, we have presented GHMMs from a general perspective. In contrast, this chapter focuses on the application of GHMMs as a tool which we use to predict the motion of pedestrians and vehicles. Therefore, the issues addressed here – as well as their respective solutions – are specific to this application and they probably may not be generalized to other domains.
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© 2010 Springer-Verlag Berlin Heidelberg
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Govea, A.D.V. (2010). Learning and Predicting Motion with GHMMs. In: Incremental Learning for Motion Prediction of Pedestrians and Vehicles. Springer Tracts in Advanced Robotics, vol 64. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13642-9_6
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DOI: https://doi.org/10.1007/978-3-642-13642-9_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13641-2
Online ISBN: 978-3-642-13642-9
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