Notice
4.3. Dynamic Probabilistic Grids – Implementation approaches
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Descriptif
This video addressesthe problem of the practical implementation for thedynamic probabilistic grid.
Thème
Documentation
Liens
Avec les mêmes intervenants et intervenantes
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4.1. Robot Perception for Dynamic environments: Outline and DP-Grids concept
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4.6. Detection and Tracking of Mobile Objects – Model and Grid based approaches
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4.8. Situation Awareness – Problem statement and Motion / Prediction Models
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4.4. Object level Perception functions (SLAM + DATMO)
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4.7. Embedded Bayesian Perception and Short-term collision risk (DP-Grid level)
LaugierChristianThis video deals with embedded Bayesian perception and short-term collision risk.
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4.2. Dynamic Probabilistic Grids – Bayesian Occupancy Filter concept
LaugierChristianThis video will show how to describe Bayesian occupancy filter concept.
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4.5. Detection and Tracking of Mobile Objects – Problem and Approaches
LaugierChristianThis video adresses the Detection and Tracking of Mobile Objects (DATMO) problem.
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1.8. Intelligent Vehicles: Context and State of the Art
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1.4. Decisional and Control Architecture for Autonomous Mobile Robots and IV
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1.6. Sensing technologies: Robot Control and HRI
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1.1. Socio-economic context
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4.4. Object level Perception functions (SLAM + DATMO)
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5.3a. Learning typical trajectories 1/2
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4.7. Embedded Bayesian Perception and Short-term collision risk (DP-Grid level)
LaugierChristianThis video deals with embedded Bayesian perception and short-term collision risk.
