IEEE 1616.1-2023
IEEE Standard for Data Storage Systems for Automated Driving
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- Language: English
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- Language: English
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About This Item
IEEE 1616.1-2023 is an English-language standard focused on data storage systems for automated driving, where reliable access to vehicle and sensor data can support control, processing, and analysis. It addresses a technical area that sits across computing, communication, robotics, and transportation systems, making it relevant to integrated vehicle architectures. For teams working on automated driving platforms, IEEE 1616.1-2023 helps define a clearer basis for consistent design and system interoperability.
IEEE 1616.1-2023 overview
This standard provides guidance for data storage systems used in automated driving environments, where stored information may need to be managed with attention to performance, integrity, and system coordination. IEEE 1616.1-2023 is positioned at the intersection of embedded components, networking, and processing functions, reflecting the way automated vehicles often depend on coordinated storage and data handling. As a technical document, it can help align engineering expectations for system behavior and implementation.
Typical use cases
IEEE 1616.1-2023 is commonly relevant when designing or evaluating storage subsystems within automated driving platforms, such as onboard data logging, sensor data retention, diagnostic recording, or processing pipelines that depend on dependable access to stored information. It may also support engineering work involving connected vehicle modules, control units, or prototype systems where data needs to be captured, preserved, and retrieved in a controlled way. The standard is useful in development, integration, and verification workflows.
Why this standard matters
In automated driving applications, storage behavior can affect system reliability, traceability, and testing outcomes. IEEE 1616.1-2023 matters because it gives procurement, design, and validation teams a shared reference for what the storage system should address in practice. That can reduce ambiguity during integration, improve consistency across implementations, and support better control over performance-related risks. For active projects, it also helps create a more defensible basis for compliance and review.
- Data storage for automated driving systems
- Embedded and onboard system integration
- Sensor, logging, and diagnostic data handling
- Design, testing, and verification reference
- Performance and reliability considerations
- Publication Date: 2023
- Standard Status: Active
- Publisher: IEEE
- Subject: Components, Circuits, Devices and Systems; Communication, Networking and Broadcast Technologies; Computing and Processing; Transportation; Robotics and Control Systems; Signal Processing and Analysis
- Official IEEE: Doi link
- This Version: 1616.1 (2023)
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