'Sensor model' diaporamas de présentation

Decision-Making Under Uncertainty

Decision-Making Under Uncertainty . Overview. Two models of decision-making under uncertainty Nondeterministic uncertainty Probabilistic uncertainty In particular, what is the rational action in the presence of repeated states?. Game Playing Review. Game playing with an adversary

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Introduction to Simultaneous Locomotion and Mapping

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Vision-based World Modeling Using A Piecewise Linear Representation of The Occupancy Function

Vision-based World Modeling Using A Piecewise Linear Representation of The Occupancy Function. Dmitry O. Gorodnichy Department of Computing Science University of Alberta http://www.cs.ualberta.ca/~dmitri. Outline. World Exploration Problem: Tasks and Sensors Why Occupancy Approach? Problems:

536 views • 44 slides

Probabilistic Robotics

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Modeling and Inference with Relational Dynamic Bayesian Networks Cristina Manfredotti

Modeling and Inference with Relational Dynamic Bayesian Networks Cristina Manfredotti cristina.manfredotti@gmail.com. Tracking. Estimate current position and trajectories given uncertain sensors. From: Prof. D. Hogg (University of Leeds) web site. Multi Target Tracking. Priority Role.

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Mapping with Known Poses *

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Simultaneous Localization and Mapping

Simultaneous Localization and Mapping. Presented by Lihan He Apr. 21, 2006. Outline. Introduction SLAM using Kalman filter SLAM using particle filter Particle filter SLAM by particle filter My work : searching problem. Introduction: SLAM. SLAM: Simultaneous Localization and Mapping.

669 views • 27 slides

Status of Meta-Files, ADMT 13 Hyderabad, India

Status of Meta-Files, ADMT 13 Hyderabad, India. Esmee van Wijk , Nov 2012 CSIRO Marine and Atmospheric Research, Australia. Photo from Katy Hill. Metadata format version 2.4. Number of defined missions, not number of profiles.

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Probabilistic Reasoning over Time

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What the aibos could learn from the midsize league

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The ISO TC211 Standard Project 19130: Sensor and Data Models for Imagery and Gridded Data

The ISO TC211 Standard Project 19130: Sensor and Data Models for Imagery and Gridded Data. Liping Di George Mason University Fairfax, VA, USA Lpd@rattler.gsfc.nasa.gov. Introduction. Remote sensing is one of major sources of geographic information.

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Groom gliders data management

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D ETERMINING L OCATION F ROM W IRELESS C OMMUNICATION S IGNALS

D ETERMINING L OCATION F ROM W IRELESS C OMMUNICATION S IGNALS. J ULIE L ETCHNER, D IETER F OX, A NTHONY L AMARCA. I am here. W HY L OCATION?. Location-based services Directions Location-based reminders Context-aware apps Activity-based reminders. Ex: Care for the elderly.

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Model Adaptation in Monte Carlo Localization Omid Aghazadeh

Model Adaptation in Monte Carlo Localization Omid Aghazadeh. Outline The localization problem & localization methods The Particle Filter Contribution: Model adaptation for Particle Filter Conclusions. Localization Problem.

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Thursday 24 October 2002 William H. Hsu Department of Computing and Information Sciences, KSU

Lecture 16. Policy Learning and Markov Decision Processes. Thursday 24 October 2002 William H. Hsu Department of Computing and Information Sciences, KSU http://www.kddresearch.org http://www.cis.ksu.edu/~bhsu Readings: Chapter 17, Russell and Norvig Sections 13.1-13.2, Mitchell.

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Wednesday, 25 April 2007 William H. Hsu Department of Computing and Information Sciences, KSU

Lecture 39 of 42. Policy Learning and Markov Decision Processes. Wednesday, 25 April 2007 William H. Hsu Department of Computing and Information Sciences, KSU http://www.cis.ksu.edu/Courses/Spring-2007/CIS732/ Readings: Chapter 17, Russell and Norvig Sections 13.1-13.2, Mitchell.

293 views • 18 slides

Week 9: Web-Assisted Object Detection

Week 9: Web-Assisted Object Detection. Alejandro Torroella & Amir R. zamir. Sensor Model: Perspective Projection. Implemented a sensor model based on perspective projection (objects that are far away appear smaller in the image as compared to objects that are closer) Where:

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X-DOMES: Cross Domain Observational Metadata for Environmental Sensing

Session: New platforms and techniques for strengthening ties between observations and user communities. X-DOMES: Cross Domain Observational Metadata for Environmental Sensing. (http :// esipfed.org/earthcube-xdomes ). Felimon Gayanilo Harte Research Institute

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280. 275. Electronics Temperature (K ). 270. thermst #11. thermst #12. 265. thermst #13. thermst #14. thermst #15. thermst #16. thermst #17. thermst #18. 260. True Temp. 255. 0. 0.1. 0.2. 0.3. 0.4. 0.5. 0.6. 0.7. 0.8. 0.9. 1.0. Fraction of Orbit.

79 views • 1 slides