3D Indoor Route Planning for Arbitrary-Shape Objects

  • Wenjie Yuan
  • Markus Schneider
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6637)


Route planning, which is used to calculate feasible routes in a given environment, is one of the key issues in navigation systems. According to different constraints in different given space, various route planning strategies have been developed in recent years. Current route planning models for indoor space focus on providing routes for pedestrians or fix-sized users, like robots and persons in wheelchairs. None of the existing model can provide feasible routes for arbitrary-shape users, which appears to be more and more useful in many situations, like users driving small indoor autos or moving carts with products. This paper proposes a two-phase route planning model which can support route planning for users with arbitrary shapes. In the first phase, the LEGO model represents the entire space by using different types of cubes. These cubes are further merged in the second phase to form the maximum accessible blocks. By computing the maximum accessible widths and lengths between blocks, a LEGO graph is built to perform route searching algorithms.


Route Planning Minimum Bound Rectangle Indoor Space Feasible Route Accessible Width 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Wenjie Yuan
    • 1
  • Markus Schneider
    • 1
  1. 1.Department of Computer & Information Science & EngineeringUniversity of FloridaGainesvilleUSA

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