Infrared sensor data correction for local area map construction by a mobile robot

  • Authors:

  • V. Koval;V. Turchenko;A. Sachenko;J. A. Becerra;R. J. Duro;V. Golovko

  • Affiliations:

  • Ternopil Academy of National Economy, Institute of Computer Information Technologies, Ternopil, Ukraine;Ternopil Academy of National Economy, Institute of Computer Information Technologies, Ternopil, Ukraine;Ternopil Academy of National Economy, Institute of Computer Information Technologies, Ternopil, Ukraine;Universidade da Coruña, Escuela Politécnica Superior, Mendizabal, Ferrol, Spain;Universidade da Coruña, Escuela Politécnica Superior, Mendizabal, Ferrol, Spain;Vladimir Golovko, Brest Polytechnic Institute, Department of Computers and Mechanics, Moscowskaja, Brest, Republic of Belarus

  • Venue:
  • IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
  • Year:
  • 2003

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Abstract

The construction of local area maps on the based on heterogeneous sensor readings is considered in this paper. The Infrared Sensor Data Correction method is presented for the construction of local area maps. This method displays lower calculation complexity and broader universality compared to existing methods and this is important for on-line robot activity. The simulation results showed the high accuracy of the method.