Design of Sensor Data Processing Software for the ISO 23150 Standard: Application to Autonomous Vehicle Software

Author:

Han Jun-Young1,Park Jee-Hun2,Kim Hyeong-Jun3ORCID,Lee Suk1

Affiliation:

1. School of Mechanical Engineering, Pusan National University, Busan 46241, Republic of Korea

2. Korea Automotive Technology Institute (KATECH), Cheonan 31214, Republic of Korea

3. Department of Future Automotive Engineering, Gyeongsang National University, Jinju 52828, Republic of Korea

Abstract

The ISO 23150 standard defines the logical interface between sensors and fusion units. To apply this standard to actual vehicles, software is required to convert sensor data into ISO 23150-compliant sensor data. In this study, we developed sensor data processing software to provide ISO 23150-compliant sensor data to autonomous vehicle software. The main contributions of this study are as follows: First, the safety of the software is considered, and its structure and error detection method are designed to minimize the impact of errors. Second, the software structure is in accordance with the ISO 23150 standard, and a framework structure is designed with convenience in mind. Third, we considered its compatibility with adaptive AUTOSAR by designing a data delivery service using SOME/IP communication. We evaluated the security and data delivery delay of the software on a controller used in an actual vehicle and noted high security and real-time performance. The evaluation results demonstrated the feasibility of this method for real-world vehicles. Our study can serve as a basis for advancing autonomous driving technology in the context of ensuring software safety.

Funder

Pusan National University

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference30 articles.

1. Autonomous vehicles: Challenges, opportunities, and future implications for transportation policies;Bagloee;J. Mod. Transp.,2016

2. (2018). Autonomous Vehicles: Navigating the Legal and Regulatory Issues of a Driverless World, Washington, DC, USA.

3. (2023, October 30). Preliminary Report HWY18MH010 National Transportation Safety Board, Available online: https://www.ntsb.gov/investigations/AccidentReports/Reports/HWY18MH010-prelim.pdf.

4. (2023, October 30). NTSB Opens Docket on Tesla Crash, Available online: https://www.ntsb.gov/news/press-releases/Pages/PR20170619.aspx.

5. (2023, October 30). Preliminary Report HWY18FH011, Available online: https://www.ntsb.gov/investigations/AccidentReports/Pages/HWY18FH011-preliminary.aspx.

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