Robust and Fast Algorithm for Artificial Landmark Detection in an Industrial Environment
Miguel Pinto , Filipe Santos, A. Paulo Moreira, and Roberto Silva
INESC Porto - Institute for Systems and Computer Engineering of Porto, Faculty of Engineering, University of Porto, Porto, Portugal
Abstract—This paper describes a solution to detect and gather information on artificial landmarks placed in an industrial floor. This solution is composed of an observation module (artificial vision plus a chamber for light conditioning) and a fast algorithm for detecting and extracting landmarks. It is applicable with two types of landmarks, which provide useful information and in the future the solution may be applied in Autonomous Guided Vehicles (AGVs) for locating or path following. The execution time and accuracy results of the detection and extraction algorithm are presented in this paper, when applied in landmarks in good and degraded conditions.
Index Terms—Artificial Landmark, Artificial Vision, Autonomous Guided Vehicle (AGV)
Cite: Miguel Pinto, Filipe Santos, A. Paulo Moreira, and Roberto Silva, "Robust and Fast Algorithm for Artificial Landmark Detection in an Industrial Environment ," Journal of Automation and Control Engineering, Vol.1, No.2, pp. 156-159, June 2013. doi: 10.12720/joace.1.2.156-159
Index Terms—Artificial Landmark, Artificial Vision, Autonomous Guided Vehicle (AGV)
Cite: Miguel Pinto, Filipe Santos, A. Paulo Moreira, and Roberto Silva, "Robust and Fast Algorithm for Artificial Landmark Detection in an Industrial Environment ," Journal of Automation and Control Engineering, Vol.1, No.2, pp. 156-159, June 2013. doi: 10.12720/joace.1.2.156-159
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