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Application of Adaptive Streaming Technology in Remotely Driven Electric Vehicles

机译:自适应流技术在遥控电动汽车中的应用

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The need for live video transfer across networks is increasingly crucial for modern day applications, ranging from video-based surveillance systems to disarming explosives in a minefield using robots. Some of these applications, for e.g., a tele-operated electric vehicle (EV) as focused in this paper, involve real-time video streaming across wireless networks, which is bandwidth-intensive and delay-sensitive at the same time. This necessitates the need for a mechanism to adapt the data rate in order to suit the network condition and to ensure hassle-free functioning of the intended application. This paper proposes an adaptive streaming mechanism which involves bandwidth estimation based on transmission feedback and systematic adaptation of frame rate and frame quality for a safe drive in a remotely driven EV. The algorithm is implemented in a physical tele-operated EV and experiments are carried out to verify its adaptation performance.
机译:跨网络实时视频传输的需求对于现代应用越来越重要,从基于视频的监视系统到使用机器人在雷场中解除爆炸物的范围不等。这些应用中的某些应用(例如,本文重点介绍的远程操作电动汽车(EV))涉及跨无线网络的实时视频流传输,该实时视频流同时占用大量带宽并且对延迟敏感。这就需要一种机制来调整数据速率,以适应网络条件并确保预期应用程序的无忧运行。本文提出了一种自适应流机制,该机制包括基于传输反馈的带宽估计以及对帧速率和帧质量的系统适应,以实现远程驱动电动汽车的安全驾驶。该算法在物理遥控电动汽车中实现,并进行了实验以验证其自适应性能。

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