Incremental Learning for Motion Prediction of Pedestrians and Vehicles
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 techniques to build a statistical model, using as input a...
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edizione: | 1st ed. 2010. |
| Serie: | Springer Tracts in Advanced Robotics
64 |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Incremental Learning for Motion Prediction of Pedestrians and Vehicles, Texte imprimé, 9783642136412 • Incremental Learning for Motion Prediction of Pedestrians and Vehicles, Texte imprimé, 9783642136412 • Incremental Learning for Motion Prediction of Pedestrians and Vehicles, Texte imprimé, 9783642263859 • Incremental Learning for Motion Prediction of Pedestrians and Vehicles, Texte imprimé, 9783642136436 |

