Automated Situation Analysis as Next Level of Unmanned Aerial Vehicle Artificial Intelligence

Advances in Human Factors in Simulation and Modeling: Proceedings of the AHFE 2017 International Conference on Human Factors in Simulation and Modeling. Advances in Intelligent Systems and Computing. Vol.591 2018
Gunta Strupka, Mihails Gorobecs, Anatolijs Ļevčenkovs

In this paper automated situation analysis is discussed together with already accessible advantages of artificial intelligence and control systems of unmanned aerial vehicle. Based on previous researches some new solutions are proposed to fulfill safety tasks in case of traffic, fire and criminal threats. Mostly connected with existing solutions, owing to artificial intelligence and hybrid systems they move to next level and provide better results and guideline for further development.

Keywords
Act recognition, Artificial intelligence, Automatic control, Microcontrollers, Path planning, Pattern recognition, Probabilistic logic, Programming, Safety, Security, Traffic, Unmanned aerial vehicles
DOI
10.1007/978-3-319-60591-3_3
Hyperlink
https://link.springer.com/chapter/10.1007%2F978-3-319-60591-3_3

Strupka, G., Gorobecs, M., Ļevčenkovs, A. Automated Situation Analysis as Next Level of Unmanned Aerial Vehicle Artificial Intelligence. In: Advances in Human Factors in Simulation and Modeling: Proceedings of the AHFE 2017 International Conference on Human Factors in Simulation and Modeling. Advances in Intelligent Systems and Computing. Vol.591, United States of America, Los Angeles, 17-21 July, 2017. Cham: Springer International Publishing AG, 2018, pp.25-37. ISBN 978-3-319-60590-6. e-ISBN 978-3-319-60591-3. ISSN 2194-5357. e-ISSN 2194-5365. Available from: doi:10.1007/978-3-319-60591-3_3

Publication language
English (en)