Ottometric is a software company specializing in automating and streamlining the validation and training processes for Advanced Driver Assistance Systems and Autonomous Vehicles . Founded in 2019 by automotive industry veterans, Ottometric leverages artificial intelligence and big data analytics to transform the traditionally manual and time-consuming ADAS development and validation process into an efficient, automated workflow. This innovation enables automotive OEMs and their suppliers to significantly reduce development costs, enhance system reliability, and accelerate time to market.
Key Features and Functionality:
- Automated Data Analysis: The platform automatically reviews extensive raw endurance test and training data, distilling it based on key performance indicators for each system.
- AI-Driven Validation: Utilizes proprietary AI and mathematical models to analyze sensor and system data, ensuring correct operation of ADAS/AV systems.
- Scenario Prioritization: Generates a prioritized list of scenarios that warrant manual review, guiding engineers to critical events and anomalies essential for understanding real-world performance.
- Data Collection Optimization: Screens data collections and provides feedback on data quality and conformance, enabling mid-course corrections to improve data value.
- Data Selection for AI Training: Optimizes AI training by curating a diverse dataset, reducing its size while maintaining effectiveness.
- Cycle Reduction for HiL/SiL: Scores and ranks drive segments to create a compact, diverse regression test dataset, reducing Hardware-in-the-Loop and Software-in-the-Loop regression test cycle times.
- Automated KPI Calculation: Computes synthetic ground truth by fusing sensor data and calculates KPIs for perception systems, summarizing results in comprehensive reports.
Primary Value and Problem Solved:
Ottometric addresses the escalating complexity and cost associated with ADAS and AV validation. Traditional methods require extensive manual analysis of petabytes of sensor data, leading to prolonged development cycles and increased expenses. By automating data analysis and validation processes, Ottometric enables companies to save millions in development costs, enhance system reliability, meet safety standards, and accelerate time to market. This transformation is crucial for OEMs, Tier-1, and Tier-2 suppliers striving to deploy next-generation driver assistance systems efficiently and effectively.
