Rescue Method Based on V2X Communication and Human Pose Estimation

  • Azamat Zarkeshev Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, H-1521 Budapest, P.O.B. 91, Hungary
  • Csaba Csiszár Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, H-1521 Budapest, P.O.B. 91, Hungary

Abstract

Advances in science and technologies not only improve our workflow and increase the quality of life but also change the way emergency rescue operates. The eCall system is the evidence of such a new evolutionary step. However, studies are not available about 'smart' rescue methods of independent human (neither pedestrian nor a driver) who turned out to be on the roadside for one or another reason and need first aid. The research questions were how to increase the quality and speed of the rescue process by using Vehicle-to-Everything (V2X) communication and the human pose estimation function and how to increase the reliability of transmitted information. In the article, we presented an overview about the current state-of-the-art in human pose estimation technology, discussed current methods of rescue, concept, and disadvantages of the current approach, and finally proposed our own method of rescue based on blending of vehicular communication networks with advancements in human pose estimation function. The research novelty in a scientific sense is a concept of a new information management method, where Autonomous Vehicles (AVs) act as witnesses itself without any human intervention. An example of SOS Packet Format has been designed. We proposed a novel view on the future ambulance.

Keywords: autonomous vehicles, ambulance service, intelligent transportation systems, human pose estimation
Published online
2019-11-18
How to Cite
Zarkeshev, A., & Csiszár, C. (FIRST). Rescue Method Based on V2X Communication and Human Pose Estimation. Periodica Polytechnica Civil Engineering. https://doi.org/10.3311/PPci.13861
Section
Research Article