Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Alejandro Dizan Vasquez Govea"'
Publikováno v:
Springer Tracts in Advanced Robotics ISBN: 9783642136412
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87891e13bdea2d24fc12174edf00a517
https://doi.org/10.1007/978-3-642-13642-9_2
https://doi.org/10.1007/978-3-642-13642-9_2
Publikováno v:
Springer Tracts in Advanced Robotics ISBN: 9783642136412
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3a600c201b5e6d33d55776eb8558a2f
https://doi.org/10.1007/978-3-642-13642-9_7
https://doi.org/10.1007/978-3-642-13642-9_7
Publikováno v:
Springer Tracts in Advanced Robotics ISBN: 9783642136412
In the epigraph, Dennett [1987] describes how most humans would try to predict another humans’ motion if asked to: if we accept that a moving object is rational and that it is able to move at will – we take the intentional stance towards it – t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78134ad4356dc90738849d03f5f2b2c7
https://doi.org/10.1007/978-3-642-13642-9_3
https://doi.org/10.1007/978-3-642-13642-9_3
Publikováno v:
Springer Tracts in Advanced Robotics ISBN: 9783642136412
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c11d9c77c921a5da32e2cd0a0162dbd
https://doi.org/10.1007/978-3-642-13642-9_9
https://doi.org/10.1007/978-3-642-13642-9_9
Publikováno v:
Springer Tracts in Advanced Robotics ISBN: 9783642136412
This book build upon the use of Hidden Markov Models as motion models, which, as we have seen in chapter 3, are probably the most popular technique for pattern based motion prediction. This chapter provides the reader with a broad introduction to thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02e2396b0fe7c8144d168ceec18a93ab
https://doi.org/10.1007/978-3-642-13642-9_4
https://doi.org/10.1007/978-3-642-13642-9_4
Publikováno v:
Springer Tracts in Advanced Robotics ISBN: 9783642136412
As we have shown in the first part of this book, Hidden Markov Models constitute a powerful probabilistic tool. Unfortunately, the existing learning algorithms for HMMs are not well suited for lifelong learning. This chapter introduces a tool that ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::934f859e659a3a3a89e004fcd53ef3b4
https://doi.org/10.1007/978-3-642-13642-9_5
https://doi.org/10.1007/978-3-642-13642-9_5
Publikováno v:
Springer Tracts in Advanced Robotics ISBN: 9783642136412
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc25722b48d983922ddd33d2352c61ad
https://doi.org/10.1007/978-3-642-13642-9_1
https://doi.org/10.1007/978-3-642-13642-9_1
Publikováno v:
Springer Tracts in Advanced Robotics ISBN: 9783642136412
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c035c39a5669040cada691d39e5acf7
https://doi.org/10.1007/978-3-642-13642-9_6
https://doi.org/10.1007/978-3-642-13642-9_6
Modeling and predicting human and vehicle motion is an active research domain. Owing to the difficulty in modeling the various factors that determine motion (e.g. internal state, perception) this is often tackled by applying machine learning techniqu