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Grid Maps for Robot Mapping. Features versus Volumetric Maps.

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Presentation on theme: "Grid Maps for Robot Mapping. Features versus Volumetric Maps."— Presentation transcript:

1 Grid Maps for Robot Mapping

2 Features versus Volumetric Maps

3 Features

4 Grid Map Representation

5 Grid Maps

6 Example of Grid Map inaccuracy

7 Assumption 1 for Grid Maps

8 Variables for Grid Map Representation

9 Occupancy Probability for cells in Grid Maps

10 Assumption 2 for cells in Grid Maps

11 Probability of cells occupancy in Grid Maps

12 Probability distribution in Grid Maps

13 Estimating a Map from Data

14 Static State Binary Bayes Filter

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24 Log Odds Notation

25 Occupancy Mapping in Log Odds Form

26 Occupancy Mapping Algorithm

27 Occupancy Grid Mapping

28 Inverse Sensor Model for Sonars Range Sensors

29 Occupancy Value Depending on the Measured Distance

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33 Examples of Occupancy Grids

34 Example: Incremental Updating of Occupancy Grids

35 Resulting Map Obtained with Ultrasound Sensors

36 Resulting Occupancy and Maximum Likelihood Map

37 Inverse Sensor Model for Laser Range Finders

38 Occupancy Grids from Laser Scans to Maps

39 Example: MIT CSAIL 3 rd Floor

40 Uni Freiburg Building 106

41 Summary

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