Modelling, Simulation and Testing of automotive perception sensors

This report provides a comprehensive overview of the current and emerging landscape of automotive perception sensors and the standards that govern their development, integration, and validation. It explores key technologies, LiDAR, radar, and cameras, and outlines their roles in enabling Advanced Driver Assistance Systems (ADAS) and higher levels of vehicle automation.

The document highlights:

• A mapping of international standards relevant to perception sensors and simulation, including ISO, SAE, ASAM, and ASTM frameworks.
• The importance of material properties in simulation environments and their impact on sensor performance.
• Technological trends such as solid-state LiDAR, 4D radar, and event-based cameras.
• Challenges including cost, environmental robustness, data processing demands, and lack of standardisation.
• Future directions in sensor development and simulation, with timelines extending to 2035+, indicating a shift toward compact, cost-effective, and AI-enhanced systems.

The report is a strategic reference for stakeholders across industry, academia, and government departments, aiming to align sensor innovation with regulatory clarity and simulation-based validation.  It has been produced by AESIN, the Home of Automotive Electronics.

Download the report: D5.1 Standards landscape and sensors roadmaps_V1.0.