IEEE 1616.1-2023

Anotace textu normy IEEE 1616.1-2023 :

New IEEE Standard - Active.
The goals and metrics of a data storage system for automated driving (DSSAD) are defined in this standard. Functions and common technical requirements for data storage are identified. Data elements relevant to automated driving system (ADS) Level 3, Level 4 and Level 5 are defined. The usage of data among diverse end users is also defined. A compendium of data elements used in vehicles of categories M1 and N1 regarding their EDR and DSSAD for partial and fully automated vehicles is provided in this standard. An on-board diagnostic (OBD) port lockout/near field communication (NFC) protocol for protection against data manipulation via the vehicle diagnostic port is provided. This standard is made available without prejudice to national and regional laws related to data privacy, protection, and personal data processing. Users are responsible for compliance with all such laws and regulations. This standard may be frequently updated to include relevant data definitions and data elements toward the development of automated vehicles. The overall goal is to create a data collection standard for automated driving that includes functional requirements for automated vehicle gateways and security guidelines for cloud-based automotive data recorder requirements.

ISBN: 978-1-5044-9878-4, 978-1-5044-9879-1
Number of Pages: 43
Product Code: STD26286, STDPD26286
Keywords: ADS, ADS-operated vehicle, assumption, automated driving system, autonomous vehicles, cloud, cloud-based DSSAD, cloud-based event, data elements data recorder, data recorders, data storage system automated driving, decision making, DSSAD, EDR, EDR-DSSAD, EDR security threats, EDDR-DSAAD definitions, functional requirements, gateway architecture, IEEE 1616.1™, interfaces, near field communication protocol, NFC, ODD, OES, operating envelope specification, operational design domain, safety measurement, security requirements, vehicle gateway
Category: Vehicular/Transportation Technology