45 résultats : informatics

Attention : l'accès aux ressources peut être restreint, soit pour des raisons juridiques, soit par la volonté de l'auteur.
45 résultats
page 5 sur 5
résultats 41 à 45
Canal-U
5.6. Predicting Human Motion
Description : In video 5.5 we have defined an HMM in Python. In this video we are going to learn how to use it to estimate and predict motion.
Mots clés : robotics, autonomous vehicles, informatics, mobile robots
Date : 01-06-2015
Droits : Droits réservés à l'éditeur et aux auteurs. This course material is provided under Creative Commons License BY-NC-ND: the name of the author should always be mentioned ; the user can exploit the work except in a commercial context and he cannot make changes to the original work.
 En savoir plus
 Description complète
5.6. Predicting Human Motion
 Ajouter à mon panier
Accéder aux documents
Canal-U
5.7. Typical Trajectories: drawbacks
Description : In previous videos we have discussed how to implement the typical trajectories and motion patterns approach. In this video we are going to discuss what are the drawbacks of such an approach, because there are many of them.
Mots clés : robotics, autonomous vehicles, informatics, mobile robots
Date : 01-06-2015
Droits : Droits réservés à l'éditeur et aux auteurs. This course material is provided under Creative Commons License BY-NC-ND: the name of the author should always be mentioned ; the user can exploit the work except in a commercial context and he cannot make changes to the original work.
 En savoir plus
 Description complète
5.7. Typical Trajectories: drawbacks
 Ajouter à mon panier
Accéder aux documents
Canal-U
5.8. Other approaches: Social Forces
Description : In this video we will review one of the alternatives we are proposing to the use of Hidden Markov models and typical trajectories: the Social Force model.
Mots clés : robotics, autonomous vehicles, informatics, mobile robots
Date : 01-06-2015
Droits : Droits réservés à l'éditeur et aux auteurs. This course material is provided under Creative Commons License BY-NC-ND: the name of the author should always be mentioned ; the user can exploit the work except in a commercial context and he cannot make changes to the original work.
 En savoir plus
 Description complète
5.8. Other approaches: Social Forces
 Ajouter à mon panier
Accéder aux documents
Canal-U
5.9. Other approaches: Planning-based approaches
Description : In this video we are going to study a second, and probably the most promising alternative for motion prediction: planning-based algorithms.
Mots clés : robotics, autonomous vehicles, informatics, mobile robots
Date : 01-06-2015
Droits : Droits réservés à l'éditeur et aux auteurs. This course material is provided under Creative Commons License BY-NC-ND: the name of the author should always be mentioned ; the user can exploit the work except in a commercial context and he cannot make changes to the original work.
 En savoir plus
 Description complète
5.9. Other approaches: Planning-based approaches
 Ajouter à mon panier
Accéder aux documents
Canal-U
2.2. Characterization of proprioceptive and exteroceptive sensors
Description : Before deriving the equations of the Bayes filter, I want to remind you a few concepts in the theory of probability, and also some mathematical characterization for the statistical error of the robot's sensors. In particular, in this sequence, what I want to do, is to derive the link between the ...
Mots clés : robotics, autonomous vehicles, informatics, mobile robots
Date : 01-06-2015
Droits : Droits réservés à l'éditeur et aux auteurs. This course material is provided under Creative Commons License BY-NC-ND: the name of the author should always be mentioned ; the user can exploit the work except in a commercial context and he cannot make changes to the original work.
 En savoir plus
 Description complète
2.2. Characterization of proprioceptive and exteroceptive sensors
 Ajouter à mon panier
Accéder aux documents