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International Conference on Image Processing and Communications

IP&C 2017: Image Processing and Communications Challenges 9 pp 170–182Cite as

Framework for Evaluating QoE for Remote Control of Autonomous Cars in Mobile Wireless Networks

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 681))

Abstract

This paper introduces framework for designing and evaluating the video adaptation controllers - i.e. the enablers for the growing market of user generated traffic. The main targets are the use-cases connected with emerging market of the autonomous cars or drones that require remote assistance of the operator upon on-board controller failure. To validate the proposed architecture authors have designed test cases that validate usability of the proposed solution for the uplink surveillance and monitoring traffic adaptation. We propose a systematic approach to combine real network traces, network modelling and emulation, video transcoder as a service and the use of no-reference QoE metrics in order to assure effective means for video controllers design and tuning. Authors have described architecture as well as results of comprehensive sensitivity tests of QoE in uplink for mobile WiMAX networks. The results show that the proposed framework provides valuable potential for development and evaluation answering the demand of emerging scenarios for mobile surveillance.

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Author information

Authors and Affiliations

  1. University of Technology and Life Sciences, 85-791, Bydgoszcz, Poland

    Adam Flizikowski

  2. ITTI Sp. z o.o., Rubież 464, 61-612, Poznań, Poland

    Mateusz Płócienniczak

Authors
  1. Adam Flizikowski
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  2. Mateusz Płócienniczak
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Corresponding author

Correspondence to Adam Flizikowski .

Editor information

Editors and Affiliations

  1. University of Science and Technology, UTP, Bydgoszcz, Poland

    Michał Choraś

  2. University of Science and Technology, UTP, Bydgoszcz, Poland

    Ryszard S. Choraś

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Flizikowski, A., Płócienniczak, M. (2018). Framework for Evaluating QoE for Remote Control of Autonomous Cars in Mobile Wireless Networks. In: Choraś, M., Choraś, R. (eds) Image Processing and Communications Challenges 9. IP&C 2017. Advances in Intelligent Systems and Computing, vol 681. Springer, Cham. https://doi.org/10.1007/978-3-319-68720-9_20

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  • DOI: https://doi.org/10.1007/978-3-319-68720-9_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68719-3

  • Online ISBN: 978-3-319-68720-9

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