Single-Camera Computer Vision Algorithm for Robot Shortest Path Estimator using morphological structuring element with variable sizes

  • Authors

    • Sami Hasan
    • Naeem Th.Yousir
    • Shereen S. Jumaa
    2018-05-16
    https://doi.org/10.14419/ijet.v7i2.28.12937
  • Robotic Vision, Shortest Path Estimator and Variable Size Morphological Structure, Energy Saving
  • The robotic challeng of developing and implementing a  shortest-path finding algorithm to reach a destination without bumping into  obstacles has been tackled in this  paper. The proposed algorithm is utilized a single ceiling fixed camera and based on the mask and robot size with different sizes for dilation mask. The implementation has been successfully produced thirty-three computer vision figures and two comparison tables of simulation results by using morphological structuring element with different sizes. This paper’s proposal of optimal path finding algorithm is effeciently save robot energy in reaching targets.

     

     

     

  • References

    1. [1] S. Hasan and Shereen S. Jumaa, “Distance Estimation by Computer Vision And Shortest Path Planning Using Single Cameraâ€, the -7th International Conference on Communication, Management and Information Technology,ICCMIT’17, University of Warsaw, Poland, 03-05 April, 2017.(IEEE sponsored conference).

      [2] A. Kynova, "Indoor Spatial Data Model for Wayfinding: Case Study of the Masaryk University," in “Proceedings of the 13th International Conference on Location-Based services, Vienna, Austria, PP. 30-33, 2016.

      [3] T.-J. Lee and et al., "A Monocular Vision Sensor-Based Obstacle Detection Algorithm for Autonomous Robots," Sensors, vol. 16, no. 311, pp. 1-19, 2016.

      [4] Y.-f. Dong and et al., "Disordered and Multiple Destinations Path Planning Methods for Mobile Robot in Dynamic Environment," Journal of Electrical and Computer Engineering, vol. 2016, no. Article ID 3620895, pp. 1-10, 2016.

      [5] A. Chandak and et al., "Path Planning for Mobile Robot Navigation using Image Processing," International Journal of Scientific & Engineering Research, vol. 4, no. 6, pp. 1490-1945, June-2013.

      [6] N. shukla, "A Review on Image Based Target Distance & Height Estimation Technique Using Laser Pointer and Single Video Camera for Robot Vision," International Journal of Engineering Research and Reviews , vol. 3, no. 1, pp. 128-135, March 2015.

      [7] M. E. KHAILI, "Path Planning in a Dynamic Environment by the approach of the sliding on edge," (IJACSA) International Journal of Advanced Computer Science and Applications, vol. 5, no. 8, pp. 86-92, August 2014.

      [8] R. Deepa and S. Murali, "Path Generation for Robot Navigationusing a Single Ceiling Mounted Camera," International Journal of Scientific Engineering and Applied Science (IJSEAS), vol. 2, no. 1,pp. 325-330, January 2016.

      [9] J. H. Shim and Y. I. Cho, "A Mobile Robot Localization via

      Indoor Fixed Remote Surveillance Cameras," Sensors , vol. 16, no. 195, pp. 1-13, 2016.

      [10] K. Guruji and et al., "Time-Efficient A* Algorithm for Robot Path Planning," Procedia Technology , vol. 23, no. 2016, pp. 144-149, 201

      [11] A. Patel, A. Dubey, A. Pandey and S. D. Choubey, "Vision guided shortest path estimation using floodfill algorithm for mobile robot applications," 2012 2nd International Conference on Power, Control and Embedded Systems, Allahabad, 2012, pp. 1-3.

      [12] J. Yao, S. Ramalingam, Y. Taguchi, Y. Miki and R. Urtasun, "Estimating Drivable Collision-Free Space from Monocular Video," 2015 IEEE Winter Conference on Applications of Computer Vision, Waikoloa, HI, 2015, pp. 420-427.

      [13] A. Kitanov, S. Bisevac and I. Petrovic, "Mobile robot self-localization in complex indoor environments using monocular vision and 3D model," 2007 IEEE/ASME international conference on advanced intelligent mechatronics, Zurich, 2007, pp. 1-6.

      [14] X. Xiong and B. J. Choi, "Position estimation algorithm based on natural landmark and fish-eyes' lens for indoor mobile robot," 2011 IEEE 3rd International Conference on Communication Software and Networks, Xi'an, 2011, pp. 596-600.

      [15] I. Nadav and E. Katz, "Off-road path and obstacle detection using monocular camera," 2016 IEEE International Conference on the Science of Electrical Engineering (ICSEE), Eilat, 2016, pp. 1-5.

      [16] M. C. Chinnaiah, G. DivyaVani, T. SatyaSavithri and P. Rajeshkumar, "Implementation of Shortest path planning algorithm without track using FPGA robot: A new approach," 2014 International Conference on Advances in Electrical Engineering (ICAEE), Vellore, 2014, pp. 1-4.

      [17] V. Vladareanu, I. Dumitrache, L. Vladareanu, I.S. Sacala, G. Tont and M.A. Moisescu, , “Versatile Intelligent Portable Robot Control Platform Based on Cyber Physical Systems Principlesâ€, Studies in Informatics and Control Volume: 24 Issue: 4 Pages: 409-418 Published: DEC 2015.

      [18] Gal, AI, Vladareanu, L and Munteanu, RI , “Sliding Motion Control with Bond Graph Modeling Applied on a Robot Legâ€, Revue Roumaine des Sciences Techniques-Serie Electrotechnique et Energetique V. 60 Iss. 2, PP. 215-224, APR-JUN 2015.

      [19] V. Vladareanu, P. Schiopu and L. Vladareanu, “Theory and Application of Extension Hybrid Force-Position Control in Roboticsâ€, University Politehnica of Bucharest Scientific Bulletin-Series A-Applied Mathematics and Physics Volume: 76 Issue: 3, Pages: 43-54, 2014.

      [20] L. Vladareanu, G. Tont, I. Ion, M.S. Munteanu and D. Mitroi, “Walking Robots Dynamic Control Systems on an Uneven Terrainâ€, Advances in Electrical And Computer Engineering, Volume: 10 Issue: 2 Pages: 145-152.

      [21] N. Pop, L. Vladareanu, I.N. Popescu, C. Ghita, A. Gal, S. Cang, H.N. Yu, V. Bratu and M.C. Deng, “A numerical dynamic behaviour model for 3D contact problems with frictionâ€, Computational Materials Science, Volume: 94 Special Issue: SI Pages: 285-291.

      [22] S. Hasan, "Performance-vetted 3-D MAC processors for parallel volumetric convolution algorithm: A 256×256×20 MRI filtering case study," in 2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA), Baghdad, 2016.

      [23] S. Hasan, FPGA implementations for parallel multidimensional filtering algorithms, a PhD thesis, university of Newcastle, UK, 2013..

      [24] S. Hasan, "Performance-Aware Architectures for Parallel 4D Color fMRI Filtering Algorithm: A Complete Performance Indices Package," IEEE Transactions on Parallel and Distributed Systems, vol. 27, no. 7, pp. 2116- 2129, July 1 2016.

      [25] Sami Hasan, Rapidly-Fabricated Architectures of Parallel Multidimension Algorithms, Lambert Academic Publishing, Germany, 2017.

      [26] Sami Kadhim Hasan Ar-Ramahi, "A Fuzzy Recognition Model

      for Arabic Handwritten Alphabet," Journal of Engineering , vol. 15, no. 1, pp. 3312-3320, 2009.

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  • How to Cite

    Hasan, S., Th.Yousir, N., & S. Jumaa, S. (2018). Single-Camera Computer Vision Algorithm for Robot Shortest Path Estimator using morphological structuring element with variable sizes. International Journal of Engineering & Technology, 7(2.28), 248-254. https://doi.org/10.14419/ijet.v7i2.28.12937