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Table of Contents

  • Overview

  • Landmark Navigation

    • Class Diagram
    • Data Flow
    • Solvers
  • Indoor Map Representation

  • Path Planning

  • Simulation and Results

  • References

     

Overview

 

 


Landmark Navigation

Landmarks are distinct features that a robot can recognize from its sensory input. Landmarks can be geometric shapes (e.g., rectangles, lines, circles), and they may include additional information (e.g., in the form of bar-codes). In general, landmarks have a fixed and known position, relative to which a robot can localize itself. Landmarks are carefully chosen to be easy to identify; for example,  there must be sufficient contrast to the background. Before a robot can use landmarks for navigation, the characteristics of the landmarks must be known and stored in the robot's memory. The main task  in localization is then to recognize the landmarks reliably and to calculate the robot's position.

In order to simplify the problem of landmark acquisition it is often assumed that the current robot  position and orientation are known approximately, so that the robot only needs to look for landmarks in a limited area. For this reason good odometry accuracy is a prerequisite for successful landmark detection. The picture below shows the general procedure for performing landmark-based positioning.




Indoor Map Representation


Path Planning


Simulation and Results


References


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