4.4. Object level Perception functions (SLAM + DATMO)
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Descriptif
This video is dedicated tothe object level perception functions: Simultaneous Localization Mapping (SLAM) and Detection and Tracking surrounding Mobile Objects (DATMO).
Thème
Notice
Documentation
Liens
Avec les mêmes intervenants
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4.8. Situation Awareness – Problem statement & Motion / Prediction ModelsLaugierChristian
This videos addresses the problem of situation awareness and motion prediction models.
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4.9. Situation Awareness – Collision Risk Assessment & Decision (Object level)LaugierChristian
This video addresses the problem of collision risk assessment and decision.
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4.7. Embedded Bayesian Perception & Short-term collision risk (DP-Grid level)LaugierChristian
This video deals with embedded Bayesian perception and short-term collision risk.
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4.5. Detection and Tracking of Mobile Objects – Problem & ApproachesLaugierChristian
This video adresses the Detection and Tracking of Mobile Objects (DATMO) problem.
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4.6. Detection and Tracking of Mobile Objects – Model & Grid based approachesLaugierChristian
This video addresses the question of model-based and grid-based approaches.
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4.1. Robot Perception for Dynamic environments: Outline & DP-Grids conceptLaugierChristian
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
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4.2. Dynamic Probabilistic Grids – Bayesian Occupancy Filter conceptLaugierChristian
This video will show how to describe Bayesian occupancy filter concept.
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4.3. Dynamic Probabilistic Grids – Implementation approachesLaugierChristian
This video addresses the problem of the practical implementation for the dynamic probabilistic grid.
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1.9. Intelligent Vehicles: Technical Challenges & Driving SkillsLaugierChristian
This video presents the technical challenges and driving skills for intelligent vehicles.
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1.7. Basic technologies for Navigation in Dynamic Human EnvironmentsLaugierChristian
This video presents the basic technologies for navigation in dynamic human environments. The objective is to achieve goal oriented navigation in open, dynamic and uncertain environments populated
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1.8. Intelligent Vehicles: Context & State of the ArtLaugierChristian
This video introduces intelligent vehicles and presents more specifically the context and a state of the art.
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1.3. New challenges for Robotics in Human EnvironmentsLaugierChristian
Introducing robots in human environments bring new challenges to robotics.
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