High-fidelity sensor Is the process of imitation of the behavior of a modeled real-world system over time.Simulation is becoming increasingly important for verifying and validating advanced driver assistance and automated driving functions. New virtual methods can now replicate more physical effects, increasing the need for accurate interaction between signal generators and data consumers.
Motivation
A future project will address the following technical challenges:
- Insufficiency of ideal sensor models:
Current ASAM OSI abstractions often provide sufficient interface for simulation use cases for automated driving policy, vehicle guidance or motion planning. However, existing ASAM OSI interfaces do not sufficiently cover the physical phenomena required for some high-fidelity models, such as spectral irradiance for cameras or raw waveform data for radar. - Regulatory pressure:
Emerging UN regulations for ADS (scheduled in 2026) and New Assessment/Test Method for Automated Driving (NATM) Guidelines for Validating Automated Driving Systems (ADS) will require manufacturers to ensure the reliability of their simulation models through comparison with actual sensor hardware. - Integration complexity:
Currently, every sensor supplier and simulation tool provider must develop proprietary interfaces to cover use cases that require higher fidelity simulation. This increases integration costs and prevents the modular "plug-and-play" exchange of sensor models between different simulation platforms. - Missing feedback interfaces:
There is a lack of standardized interfaces for sensor-specific control loops (e.g., exposure control, shutter synchronization, and beamforming), often forcing users to rely on proprietary solutions. Without standardized feedback interfaces, realistic sensor behavior remains unachievable. This can be observed at the level of feedback interfaces between sensor subcomponents, “environment-sensor” and “sensor-AD function” interfaces.
Goals
The primary objective of this project is to propose extensions to ASAM 1) Open Simulation Interface (ASAM Standard); 2) Open Systems InterconnectionOSI that enable the seamless integration of high-fidelity sensor models into Is the process of imitation of the behavior of a modeled real-world system over time.Simulation environments. The project aims to:
- define high-fidelity use cases from OEMs, sensor suppliers, and simulation tool vendors to identify where high-fidelity sensor models are required (e.g., perception risk assessment, AI training, tool qualification).
- specify fidelity requirements by decomposing sensor models into key subcomponents and defining the essential physical effects for camera, radar, and LiDAR. This will be addressed per use case, meaning the project may identify several levels of fidelity required to be supported by OSI in the future.
- investigate sensor control interfaces to enable closed-loop interaction between environment simulation, AD functions, and sensor models.
- propose targeted extensions to ASAM OSI supporting additional data types and signal interfaces to satisfy the identified fidelity level requirements.
- align with existing standards such as FMI, as well as other regulatory or process standardization (e.g., ISO or UNECE).
- develop a concept paper outlining the technical scope and requirements for a follow-up ASAM standardization project.