ISO 23150-2:2026

Overview

ISO 23150-2:2026 defines the logical object-level interfaces between environmental perception sensors and the data fusion unit in road vehicles equipped with automated driving functions. As part of the ISO 23150 series, this document focuses specifically on the object level, including interfaces for potentially moving objects, road objects, static objects, and free-space objects. It establishes a standardized structure for sensor data integration, ensuring compatibility and interoperability for automated and autonomous vehicle systems, while deliberately excluding electrical, mechanical, and raw data interface specifications.

Key Topics

• Object-Level Interfaces: The standard specifies four primary object-level logical interfaces:
  • Potentially Moving Object Interface: Handles data related to objects capable of movement (such as vehicles, pedestrians, and other moving obstacles), including their status, dynamics, and classification.
  • Road Object Interface: Covers objects integral to the road environment (e.g., road markings, signs, barriers).
  • Static Object Interface: Manages objects considered permanently stationary, like parked vehicles and fixed infrastructure.
  • Free-Space Object Interface: Relates to the representation and detection of areas without objects, crucial for safe path planning.
• Modular Data Structure: Emphasizes a modular approach based on generic object-level interface specifications, supporting clarity and scalability in implementation.
• Semantic Representation: Utilizes clearly defined signal groupings and profiles for complex object attributes (e.g., object position, motion type, recognition classification, and observation confidence).
• Exclusion of Raw and Physical Interfaces: Focuses solely on logical data abstraction, without dictating hardware connectors, electrical signals, or raw sensor outputs.

Applications

Implementing ISO 23150-2:2026 delivers practical value to a wide range of stakeholders in the automotive and automated driving ecosystem:

• Sensor Integration: Enables multi-sensor environments (camera, radar, lidar) to standardize the output provided to vehicle data fusion units, supporting accurate environmental perception.
• Data Fusion Consistency: Provides a uniform interface for object-level information, enhancing the consistency, reliability, and interpretability of fused data used by automated driving functions.
• System Interoperability: Facilitates compatible and scalable development of automated driving systems by third-party suppliers, OEMs, and Tier-1 integrators, contributing to faster and more reliable deployment.
• Safety Enhancement: Ensures that critical object-level information, such as entity status, object tracking, and confidence levels, is communicated clearly-supporting robust situational awareness for autonomous and semi-autonomous vehicles.
• Scalable Architecture: Supports both single-sensor and clustered-sensor configurations, enabling flexible deployment in passenger cars, commercial vehicles, and future mobility solutions.

Related Standards

ISO 23150-2:2026 is part of the broader ISO 23150 series, which addresses multiple layers of logical interfaces in vehicle sensor and data fusion architectures:

• ISO 23150-1:2026 - General information and principles for logical interfaces between sensors and data fusion unit for automated driving functions
• Other Parts of ISO 23150 (e.g., Parts 11-15, 20) - Covering additional interface types, technology-specific features, and supportive or sensor input interfaces
• ISO/TC 22/SC 31 - Relevant technical committee documents on road vehicles and data communication

For comprehensive implementation and integration, referencing the full ISO 23150 series is recommended to ensure compliance and maximize the interoperability benefits provided by these logical interface standards.

Keywords: ISO 23150-2, object level interface, logical sensor interface, automated driving, data fusion unit, automotive standards, environmental perception, road vehicle sensors, autonomous vehicle interoperability, sensor data fusion, mobility standardization.