Model and method development for determining the completeness of information for remote detection of landmarks for autonomous mobile robots

Authors

DOI:

https://doi.org/10.15587/2706-5448.2021.244663

Keywords:

information completeness, mobile robots, landmarks, identification of landmarks, information cadastre

Abstract

The object of research is the completeness of information for making a navigation decision by an autonomous mobile robot when it performs a task in an unfamiliar area without GPS. It is difficult to identify a landmark in the absence and abundance of information. One of the most problematic places is the mathematical description of the criterion according to which an autonomous robot makes a decision about the completeness of information. The paper substantiates a model and method for determining the completeness of information by a robot equipped with several landmarks detection tools operating on different physical principles. It is shown that the implementation of the method requires a priori information on the probability of detecting various landmarks by passive and active means against a continuous and discontinuous background at different illumination of objects, in day and night conditions under different weather conditions. The values of the probability of detecting a specific type of landmark obtained in such studies serve as the basis for constructing an information cadastre for a job performing tasks on the ground. Three formulas are proposed for determining the coefficient of completeness of information, taking into account a priori and a posteriori inventories, and recommended areas of application. The value of this coefficient depends on the threshold level of the probability of detecting a landmark. The reliability of a decision made by a robot is greatest when it is made under conditions of a certain level of completeness of information. The proposed method can be used for other technical objects from which the measurement information is received. Compared with the known methods, it expands the boundaries of application and reveals the possibility of assessing the completeness of information in constantly changing conditions. Along with a change in these conditions, the characteristics of the completeness of information also change. The coefficient of completeness of information can approach unity even in the absence of separate means of detecting landmarks, and then the method makes it possible to assess the need for their use in the given conditions.

Author Biographies

Oleksandr Poliarus, Kharkiv National Automobile and Highway University

Doctor of Technical Sciences, Professor

Department of Metrology and Life Safety

Andrii Lebedynskyi, Kharkiv National Automobile and Highway University

Assistant, Postgraduate Student

Department of Computer Technologies and Mechatronics

Yevhenii Chepusenko, Kharkiv National Automobile and Highway University

Postgraduate Student

Department of Computer Technologies

Nina Lyubymova, State Biotechnology University

Doctor of Technical Sciences, Professor

Department of Ecology and biotechnology

References

  1. Fridland, A. Ya. (2003). Informatika: protsessy, sistemy, resursy. Moscow: BINOM. Laboratoriya znanii, 279.
  2. Cebollada, S., Payá, L., Flores, M., Peidró, A., Reinoso, O. (2021). A state-of-the-art review on mobile robotics tasks using artificial intelligence and visual data. Expert Systems with Applications, 167, 114195. doi: http://doi.org/10.1016/j.eswa.2020.114195
  3. Kunimoto, T. (2020). Robust virtual implementation with almost complete information. Mathematical Social Sciences, 108, 62–73. doi: http://doi.org/10.1016/j.mathsocsci.2020.09.001
  4. Zhu, H. (2015). Super-symmetric informationally complete measurements. Annals of Physics, 362, 311–326. doi: http://doi.org/10.1016/j.aop.2015.08.005
  5. Pollard, Dzh. (1982). Spravochnik po vychislitelnym metodam statistiki. Moscow: Finansy i statistika, 344.
  6. Shevchenko, O. Yu., Kotov, A. S., Lysenko, D. E. (2009). Otsenka polnoty i dostovernosti informatsionnogo obespecheniya tekhnologicheskoi podgotovki proizvodstva. Modelyuvannya v ekonomіtsі, organіzatsіya virobnitstva ta upravlіnnya proektami, 199–202.
  7. Leonova, M. V., YAkimets, V. N. (2008). Indeks otsenki polnoty i kachestva obratnykh svyazei informatsionnykh resursov gosudarstvennoi vlasti. Trudy ISA RAN, 34, 351–363.
  8. Naumann, F. (2002). Quality-driven Query Answering for Integrated Information Systems. Vol. 2261. Lecture Notes on Computer Science (LNCS). Heidelberg: Springer Verlag, 168. doi: http://doi.org/10.1007/3-540-45921-9
  9. Yomralioglu, T., McLaughlin, J. (Eds.) (2017). Cadastre: Geo-Information Innovations in Land Administration. Springer, 335. doi: http://doi.org/10.1007/978-3-319-51216-7
  10. Hagba, D. V., Gura, D. A., Pyatashova, O. V., Pshidatok, S. K., Pavlyukova, A. P. (2021). Improving the Technology for Implementing a 3D Cadastre in Existing Accounting Information Systems. IOP Conference Series: Earth and Environmental Science. Vol. 720. International science and technology conference "Earth science". Vladivostok. doi: http://doi.org/10.1088/1755-1315/720/1/012030
  11. Poliarus, O., Poliakov, Ye., Lindner, L. (2018). Determination of landmarks by mobile robot’s vision system based on detecting abrupt changes of echo signals parameters. The 44th Annual Conference of the IEEE Industrial Electronics Society. Washington, 3165–3170. doi: http://doi.org/10.1109/iecon.2018.8591362
  12. Poliarus, O., Poliakov, Y., Lebedynskyi, A. (2021). Detection of Landmarks by Autonomous Mobile Robots Using Camera-Based Sensors in Outdoor Environments. IEEE Sensors Journal, 21 (10), 11443–11450. doi: http://doi.org/10.1109/jsen.2020.3010883

Downloads

Published

2021-12-07

How to Cite

Poliarus, O., Lebedynskyi, A., Chepusenko, Y., & Lyubymova, N. (2021). Model and method development for determining the completeness of information for remote detection of landmarks for autonomous mobile robots. Technology Audit and Production Reserves, 6(2(62), 37–41. https://doi.org/10.15587/2706-5448.2021.244663

Issue

Section

Systems and Control Processes: Reports on Research Projects