Resilient Raw Format Live Video Streaming Framework for an Automated Driving System on an Ethernet-Based In-Vehicle Network

Abstract

The automotive Ethernet is an emerging area for exploiting the high network bandwidth and scalable network design in automated driving systems. Low-latency live video streaming over the automotive Ethernet is a challenging part of this concept because of its significance for driving situation awareness in real time. In order to achieve low-latency live video streaming on resource-constrained automotive electric control units, the streaming needs to be conducted with a fine-grained resource control. This article proposes a raw format live video streaming framework that resiliently controls the number of raw format video packets with consideration of available CPU resources. The evaluation on a testbed demonstrates that the proposed framework achieves low-latency live video streaming by securing available CPU resources.

Keywords

• Automotive ethernet
• raw format live video streaming
• autonomous driving
• low-latency
• embedded system