Génie informatique

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

This video is dedicated to the object level perception functions: Simultaneous Localization Mapping (SLAM) and Detection and Tracking surrounding Mobile Objects (DATMO).

Now that we have the equations of the Bayes filter, we need a method in order to implement in real cases these equations. So, in the following, I want to discuss two methods, which are commonly

In this video, we want to discuss the case of a wheel encoders in 2D, and in particular the case of a robot equipped with a differential drive which is very popular in mobile robotics.

This video adresses the Detection and Tracking of Mobile Objects (DATMO) problem.

In part 2, we have seen the equations of the Bayes filter, which are the general equations which allow us to update the probability distribution, as the data from both proprioceptive sensors and

So far in the characterization of our sensor measurements, we didn't talk about the errors. This is precisely what we want to do in this video. In particular, we want to compute two probability

This video addresses the question of model-based and grid-based approaches.

La bibliothèque universitaire inscrit ses modes d'organisation des connaissances, ses règles de fonctionnement, ses acquisitions et ses offres de service dans un accompagnement institutionnel de l

In this sequence I want to remind you a few concepts in the theory of probability and then in the next one we finally derive the equations of the Bayes filter. So the concept that I want to

This video deals with embedded Bayesian perception and short-term collision risk.

La bibliothèque universitaire inscrit ses modes d'organisation des connaissances, ses règles de fonctionnement, ses acquisitions et ses offres de service dans un accompagnement institutionnel de l