Laugier, Christian (1947-.... ; informaticien)
- Ordinateurs -- Conception et construction
- Applications. Automates
- Informatique - Traitement des données informatiques
- robotics
- autonomous vehicles
- informatics
- mobile robots
- Applications. Automates
- Informatique - Traitement des données informatiques
- robotics
- autonomous vehicles
- informatics
- mobile robots
- Applications. Automates
- Informatique - Traitement des données informatiques
Vidéos
4.4. Object level Perception functions (SLAM + DATMO)
This video is dedicated to the object level perception functions: Simultaneous Localization Mapping (SLAM) and Detection and Tracking surrounding Mobile Objects (DATMO).
4.7. Embedded Bayesian Perception and Short-term collision risk (DP-Grid level)
This video deals with embedded Bayesian perception and short-term collision risk.
4.3. Dynamic Probabilistic Grids – Implementation approaches
This video addresses the problem of the practical implementation for the dynamic probabilistic grid.
4.5. Detection and Tracking of Mobile Objects – Problem and Approaches
This video adresses the Detection and Tracking of Mobile Objects (DATMO) problem.
4.9. Situation Awareness – Collision Risk Assessment and Decision (Object level)
This video addresses the problem of collision risk assessment and decision.
4.1. Robot Perception for Dynamic environments: Outline and DP-Grids concept
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
4.6. Detection and Tracking of Mobile Objects – Model and Grid based approaches
This video addresses the question of model-based and grid-based approaches.
4.2. Dynamic Probabilistic Grids – Bayesian Occupancy Filter concept
This video will show how to describe Bayesian occupancy filter concept.
4.8. Situation Awareness – Problem statement and Motion / Prediction Models
This videos addresses the problem of situation awareness and motion prediction models.
1.5. Sensing technologies: Object Detection
This video addresses sensing technologies. Sensing technologies is one of the key functions for autonomous robots. Sensing is performed using various internal and external sensors.
1.8. Intelligent Vehicles: Context and State of the Art
This video introduces intelligent vehicles and presents more specifically the context and a state of the art.
1.4. Decisional and Control Architecture for Autonomous Mobile Robots and IV
This video is presenting the decision and control architecture for autonomous mobile robots and intelligent vehicles. The question is how to control robot action in a dynamic world populated by