Abstract
The article discusses the preprocessing algorithms of three-dimensional clouds of points from structured light cameras, methods of image recognition, algorithms for constructing maps and route planning for robot motion. Various methods and algorithms for the transformation of a three-dimensional cloud of points leads to reduction of computational complexity of all stages of data processing for implementation of the algorithm on an onboard navigation system with limited computing resources. Based on the proposed sequence of image conversion, software has been developed for implementation of the algorithm of spatial orientation of a robot. Image processing methods and functions of PCL and ROS metapackage libraries were used. Experimental study of the possibilities of the developed image processing and route construction algorithm was made using the prototype of a mobile robot on a wheeled platform.
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References
Bykov SA, Leontiev VG, Skakunov VN (2012) Application of the analysis of 3D point clouds in computer vision systems. Izvestiya VolgGTU. Seriya “Aktualnyie problemy i upravleniya, vyichislitelnoy tehniki i informatiki v tehnicheskih sistemah”. Vyip. 13: mezhvuz. sb. nauch. tr.Volgograd, 4(91):37–41 (in Russian)
Pirker K et al (2011) Fast and accurate environment modeling using three-dimensional occupancy grids. In: 2011 IEEE international conference on computer vision workshops (ICCV workshops), IEEE, pp 1134–1140
Jain AK (2010) Data clustering: 50 years beyond K-means. Pattern Recogn Lett 31(8):651–666
Borah B, Bhattacharyya DK (2004) An improved sampling-based DBSCAN for large spatial databases. In: Intelligent sensing and information processing, 2004. Proceedings of Software International Conference—IEEE, pp 92–96
Vasilkov MD (2011) Geometric modeling and computer graphics: computational and algorithmic foundations: a course of lectures. BSU, Minsk, p 203
Yao J et al (2007) Path planning for virtual human motion using improved A* star algorithm. In: Information technology: new generations (ITNG), 2010 seventh international conference. IEEE, pp 1154–1158.5
Acknowledgments
This work was done with the financial support of RFBR (contract No. 15-01-04577-a, No. 15-08-04166-a).
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Skakunov, V., Belikov, V., Zhoga, V., Nesmiynov, I. (2016). Processing of Data from the Camera of Structured Light for Algorithms of Image Analysis in Control Systems of Mobile Robots. In: Evgrafov, A. (eds) Advances in Mechanical Engineering. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-29579-4_15
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DOI: https://doi.org/10.1007/978-3-319-29579-4_15
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