Realtime Video Latency Reduction for Autonomous Vehicle Teleoperation Using RTMP Over UDP Protocols

A. Heryana, Dikdik Krisnandi, H. Pardede, Galih Nugraha Nurkahfi, M. Dinata, A. Rozie, Rendra Firmansyah
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Abstract

Real-time video streaming with low latency is essential for autonomous vehicles’ teleoperation. Studies show that the latency for self-driving teleoperation should not exceed 50 milliseconds. Latency could be caused by hardware, software, or network factors. Here, we focus on latency reduction due to network factors. We applied two data protocols: user datagram protocols (UDP) and real-time messaging protocol (RTMP), and afterward tuned the encoder along with data compression. The glass-to-glass method was applied to measure the network performance and video latency. The measurement of video latency achieves 300 milliseconds, which implements a direct connection (without a broadcaster) with the UDP data protocol. While this may still exceed the requirements, the study could be seen as a preliminary effort to deal with data latency for teleoperation driving.
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基于UDP协议的RTMP自动驾驶汽车远程操作实时视频延迟减少
低延迟的实时视频流对于自动驾驶汽车的远程操作至关重要。研究表明,自动驾驶远程操作的延迟不应超过50毫秒。延迟可能由硬件、软件或网络因素引起。在这里,我们主要关注网络因素导致的延迟减少。我们应用了两种数据协议:用户数据报协议(UDP)和实时消息传递协议(RTMP),然后调整了编码器和数据压缩。采用玻璃到玻璃的方法测量网络性能和视频延迟。视频延迟测量达到300毫秒,实现了与UDP数据协议的直接连接(没有广播器)。虽然这可能仍然超出了要求,但这项研究可以被视为处理远程操作驾驶数据延迟的初步努力。
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