O. E. Marai and T. Taleb, "Smooth and Low Latency Video Streaming for Autonomous Cars During Handover," in IEEE Network, vol. 34, no. 6, pp. 302-309, November/December 2020, doi: 10.1109/MNET.011.2000258
Smooth and low latency video streaming for autonomous cars during handover
|Author:||El Marai, Oussama1; Taleb, Tarik1,2,3|
1Aalto University, Espoo, Finland
2Centre for Wireless Communications (CWC), University of Oulu, Oulu, Finland
3Department of Computer and Information Security, Sejong University, Seoul, South Korea
|Online Access:||PDF Full Text (PDF, 3.7 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202101283022
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2021-01-28
Self-driving vehicles are expected to bring many benefits among which are enhancing traffic efficiency and reliability, and reducing fuel consumption which would have a great economic and environmental impact. The success of this technology heavily relies on the full situational awareness of its surrounding entities. This is achievable only when everything is networked, including vehicles, users and infrastructure, and exchange the sensed data among the nearby objects to increase their awareness. Nevertheless, human intervention is still needed in the loop anyway to deal with unseen situations or compensate for inaccurate or improper vehicle’s decisions. For such cases, video feed, in addition to other data such as LiDAR, is considered essential to provide humans with the real picture of what is happening to eventually take the right decision. However, if the video is not delivered in a timely fashion, it becomes useless or likely produces catastrophic outcomes. Additionally, any disruption in the streamed video, for instance during handover operation while traversing inter-countries cross borders, is very annoying to the user and possibly cause damage as well. in this article, we start by describing two important use cases, namely Remote Driving and Platooning, where the timely delivery of video is of extreme importance . Thereafter, we detail our implemented solution to accommodate the aforementioned use cases for self-driving vehicles. Through extensive experiments in local and LTE networks, we show that our solution ensures a very low endto- end latency. Also, we show that our solution keeps the video outage as low as possible during handover operation.
|Pages:||302 - 309|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported in part by the Academy of Finland CSN project (Grant No. 311654) and the Academy of Finland Project 6Genesis Flagship (Grant No. 318927). It is also a part of the 5G-MOBIX project, that received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 825496. Content reflects only the authors’ views and the European Commission is not responsible for any use that may be made of the information it contains.
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
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