Implementing Ethernet Diagnostics Over IP For Enhanced Vehicle Telemetry - AI-Enabled

Abstract

This paper presents a novel approach to transmitting Ethernet signals over inexpensive distances for vehicle telemetry, offering a small, cost-effective, and secure method. The proposed method leverages IP to provide Ethernet diagnostic and control functionality. Notably, this method enables real-time machine learning diagnostics, a feature of particular relevance in the context of autonomous vehicles.

Furthermore, the technology we propose has the potential to be directly applied to various other vehicle technology applications, including payload support and security. This versatility underscores its value and potential impact on the automotive industry.

• This paper describes a small, cost-effective, and secure method for transmitting Ethernet signals over inexpensive distances for vehicle telemetry, providing Ethernet diagnostic and control functionality using IP.


• The developed method will also allow machine learning diagnostics to operate over this communication channel in real-time, particularly in autonomous vehicles.

Furthermore, the technology we propose has the potential to be directly applied to various other vehicle technology applications, including payload support and security. This versatility underscores its value and potential impact on the automotive industry.

Key Points: Ethernet technology is widely used worldwide, and automotive use diversifies to support vehicle data rates of 1 Gbps and beyond. Conventional vehicle systems are challenging to handle at these rates and are often implemented via a direct-attach cable, where cost is a big issue