**8. Conclusion**

The information mentioned in the text of the chapter could not provide an exhaustive overview of all the factors that may influence the planning of the moving of autonomous vehicles. In the chapter there is presented a view especially on the military factors, respectively, factors from a military perspective when using autonomous vehicles in environments conducting military operations. In the case of the use of autonomous vehicles in military operations, the factory has no influence on whether an enemy will be operating in the environment in order to take measures against the effects of autonomous vehicles and to eliminate their activities to the maximum.

The chapter did not address the issue of methodology when planning the transfer of autonomous vehicles, which goes to the chapter itself.

Mentioned information can be used as a guideline in which detail to contemplate when intending to use autonomous vehicles in military operations.

## **Acknowledgements**

For the Section 6 was utilized research outputs of academics workers of Department of Tactics Faculty of Military Leadership and one former academic worker LTC Assoc. Professor Jan Mazal, Ph.D. who is actually in duty as Head of Education and Training Department NATO Modelling & Simulation Centre of Excellence in Rome. For purposes of verification proposed models of autonomous systems path planning optimization by experiments is used synthetics and virtual environment rendered by tactical virtual simulator Virtual Battlespace [12, 13].

## **Author details**

Jaroslav Kozůbek\*, Zdeněk Flasar and Ivo Dumišinec University of Defence, Brno, Czech Republic

\*Address all correspondence to: jaroslav.kozubek@unob.cz

© 2019 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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*Military Factors Influencing Path Planning DOI: http://dx.doi.org/10.5772/intechopen.86421*

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