In ADAS and autonomous perception development, teams face millions of real-world scenarios but limited time to test them all. Ottometric’s SPR (Scenario Prioritization Ranking) technology solves this by intelligently identifying which scenarios matter most for the specific use cases. SPR uses AI to analyze massive datasets to evaluate the real-world scenarios, then ranks them by impact and possibly cost. This lets engineering teams focus on the cases most likely to expose failures or regressions. The result is faster validation, better coverage and more efficient, data-driven decision-making across perception development and validation workflows.

• Challenges in ADAS validation due to dataset size
• Approaches to AI utilization in the selection of valuable content
• Measured gain of SPR utilization