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

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

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

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

This video addresses the problem of collision risk assessment and decision.

This videos addresses the problem of situation awareness and motion prediction models.

This video will show how to describe Bayesian occupancy filter concept.

This video addresses the problem of the practical implementation for the dynamic probabilistic grid.

The fourth part of the course addresses perception, situation awareness and decision making. In this first video, we're giving an outline of the problem and introducing the new concept of dynamic

The objective of this course is to show how to program the new generation of mobile robots. The course is primarily intended to students with engineering or Masters Degree, but any person with a

This is the first lesson of the course on mobile robots and autonomous vehicles. It addresses the objectives, the challenges, the state of the art and the technologies.

This video deals with technological evolutions of robotics and state of the art.