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Machine Vision and Applications

, Volume 15, Issue 2, pp 92–100 | Cite as

Fusion of laser and visual data for robot motion planning and collision avoidance

  • Haris Baltzakis
  • Antonis Argyros
  • Panos TrahaniasEmail author
Article

Abstract.

In this paper, a method for inferring scene structure information based on both laser and visual data is proposed. Common laser scanners employed in contemporary robotic systems provide accurate range measurements, but only in 2D slices of the environment. On the other hand, vision is capable of providing dense 3D information of the environment. The proposed fusion scheme combines the accuracy of laser sensors with the broad visual fields of cameras toward extracting accurate scene structure information. Data fusion is achieved by validating 3D structure assumptions formed according to 2D range scans of the environment, through the exploitation of visual information. The proposed methodology is applied to robot motion planning and collision avoidance tasks by using a suitably modified version of the vector field histogram algorithm. Experimental results confirm the effectiveness of the proposed methodology.

Keywords:

Sensor fusion Laser range scanner Stereo vision Collision avoidance Motion planning 

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Copyright information

© Springer-Verlag Berlin/Heidelberg 2003

Authors and Affiliations

  • Haris Baltzakis
    • 1
    • 2
  • Antonis Argyros
    • 1
  • Panos Trahanias
    • 1
    • 2
    Email author
  1. 1.Foundation for Research and Technology - Hellas (FORTH)Institute of Computer ScienceHeraklionCrete, Greece
  2. 2.Department of Computer ScienceUniversity of CreteHeraklionCrete,Greece

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