Autors: Pleshkova, S. G.
Title: Self-driving car control model extension with voice commands control
Keywords: Autonomous vehicles, self-driving car control, voice command

Abstract: The developed experimental models of self-driving car demonstrate high accuracy (about 99%), but there is still a need to improve the overall safety of real traffic on the roads. Especially, when there are people in the car, if the autonomous vehicle loses control on the road, the quickly as possible intervention to prevent a possible crash or a more serious road accident can be only through voice commands between the person and the execution control devices of self-driving car. The existing self-driving car control models are mainly based on incoming from mounted on the autonomous vehicle video cameras information, processed from deep learning neural networks and artificial intelligence. This article proposes to extend these models with voice commands recognition, spoken from person in the car, in order to correct with them the self-driving car movement, to prevent possible traffic accidents and therefore actually to increase traffic safety. For this purpose is developed deep learnin

References

    Issue

    Comptes rendus de l’Académie bulgare des Sciences, vol. 76, issue 11, pp. 1743, 2023, Bulgaria, Comptes rendus de l’Académie bulgare des Sciences, ISBN 1310–1331

    Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science