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Argo Vehicle Simulation of Motion Driven 3D LIDAR Detection and Environment Awareness

  • Mohammad Azam Javed
  • Jonathan Spike
  • Steven Waslander
  • William W. Melek
  • William Owen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6752)

Abstract

This paper presents a method to detect three dimensional (3D) objects using an occupancy grid based mapping technique. This paper adapts the 3D occupancy grid based mapping technique from the two dimensional (2D) occupancy grid based mapping technique commonly used in Simultaneous Localization and Mapping applications. The 3D occupancy mapping technique uses a 3D inverse measurement model and has been developed for a LIDAR based off-road ground rover vehicle that drives on 3D terrain. The technique is developed and simulated in MATLAB to demonstrate its 3D object detection capabilities. This technique was developed as part of off-road autonomous vehicle research being conducted at the University of Waterloo.

Keywords

Grid Cell Mobile Robot Elevation Angle Occupancy Grid Inverse Measurement 
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

  • Mohammad Azam Javed
    • 1
  • Jonathan Spike
    • 1
  • Steven Waslander
    • 1
  • William W. Melek
    • 1
  • William Owen
    • 1
  1. 1.Mechanical & Mechatronics Engineering DepartmentUniversity of WaterlooWaterlooCanada

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