Adaptive Video Configuration and Bitrate Allocation for Teleoperated Vehicles

Andreas Schimpe, Simon Hoffmann, Frank Diermeyer

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

9 Zitate (Scopus)

Abstract

Vehicles with autonomous driving capabilities are present on public streets. However, edge cases remain that still require a human in-vehicle driver. Assuming the vehicle manages to come to a safe state in an automated fashion, teleoperated driving technology enables a human to resolve the situation remotely by a control interface connected via a mobile network. While this is a promising solution, it also introduces technical challenges, one of them being the necessity to transmit video data of multiple cameras from the vehicle to the human operator. In this paper, an adaptive video streaming framework specifically designed for teleoperated vehicles is proposed and demonstrated. The framework enables automatic reconfiguration of the video streams of the multi-camera system at runtime. Predictions of variable transmission service quality are taken into account. With the objective to improve visual quality, the framework uses so-called rate-quality models to dynamically allocate bitrates and select resolution scaling factors. Results from deploying the proposed framework on an actual teleoperated driving system are presented.

OriginalspracheEnglisch
Titel2021 IEEE Intelligent Vehicles Symposium Workshops, IV Workshops 2021
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten148-153
Seitenumfang6
ISBN (elektronisch)9781665479219
DOIs
PublikationsstatusVeröffentlicht - 2021
Veranstaltung32nd IEEE Intelligent Vehicles Symposium Workshops, IV Workshops 2021 - Nagoya, Japan
Dauer: 11 Juli 202117 Juli 2021

Publikationsreihe

NameIEEE Intelligent Vehicles Symposium, Proceedings

Konferenz

Konferenz32nd IEEE Intelligent Vehicles Symposium Workshops, IV Workshops 2021
Land/GebietJapan
OrtNagoya
Zeitraum11/07/2117/07/21

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