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PUBLICATIONS

Semantics for Enhancing Communications- and Edge-Intelligence-enabled Smart Sensors: A Practical Use Case in Federated Automotive Diagnostics

Published

Author(s)

Eugene Song, Thomas Roth, David A. Wollman, Eoin Jordan, Martin Serrano, Amelie Gyrard

Abstract

Modern edge artificial intelligence (AI) chipsets and edge-intelligence-enabled smart sensors frameworks support real-time data processing and event detection at the signal source. Beyond just measuring local conditions and transmitting corresponding signals, AI-enabled smart sensors provide the capability to interpret and analyse signals through local analytical operations. Its well-known semantics provide an abstraction layer for better comprehension and self-descriptive applications. This paper identifies and explains the advantages of semantics and ontology engineering in integrating edge AI-enabled smart sensors and their applications into federated automotive systems. Building on demonstrated work using AudioSet for event detection, the application presented as an AI mechanic at the edge demonstrates how smart sensor integration necessitates the re-evaluation of how automotive diagnostic troubleshooting codes (DTCs) are generated and processed. This paper also underlines the need to review ontologies and semantic models for smart sensor standard specifications in light of AI-enabled smart sensors.
Proceedings Title
Proceedings of the 2024 Annual Conference of the IEEE Industrial Electronics Society (IECON)
Conference Dates
November 3-6, 2024
Conference Location
Chicago, IL, US
Conference Title
The 2024 Annual Conference of the IEEE Industrial Electronics Society (IECON)
Pub Type
Conferences

Download Paper

https://doi.org/10.1109/IECON55916.2024.10905565
Local Download

Keywords

Artificial Intelligence, Automotive Industry, Edge Intelligence, Internet of Things, Ontology Engineering, Semantic Technologies, Smart Sensors.
Internet of Things (IoT), Information technology, Cyber-physical systems, Automotive and Artificial intelligence

Citation

Song, E. , Roth, T. , Wollman, D. , Jordan, E. , Serrano, M. and Gyrard, A. (2025), Semantics for Enhancing Communications- and Edge-Intelligence-enabled Smart Sensors: A Practical Use Case in Federated Automotive Diagnostics, Proceedings of the 2024 Annual Conference of the IEEE Industrial Electronics Society (IECON) , Chicago, IL, US, [online], https://doi.org/10.1109/IECON55916.2024.10905565, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=957865 (Accessed October 16, 2025)

Issues

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Created March 10, 2025, Updated March 17, 2025
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