Learning and Predicting Motion with GHMMs

Autor: Alejandro Dizan Vasquez Govea
Rok vydání: 2010
Předmět:
Zdroj: Springer Tracts in Advanced Robotics ISBN: 9783642136412
DOI: 10.1007/978-3-642-13642-9_6
Popis: 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.
Databáze: OpenAIRE