The challenge in developing ADAS and AD systems is the large number of potential and undiscovered driving situations, as well as testing the system in every plausible situation.
Including Rare Scenarios and Incorporating Them in a Reproducible Environment
When unusual scenarios occur, it is crucial to detect them, measure them completely, and make the measurement data available in various development and test environments. This enables reproducible tests to be conducted until target values are achieved.
Data Handling
Sensors from the VUT (Vehicle under test) as well as from the reference system generate large volumes of measurement data (terabytes per hour). Secure, transparent storage is essential.
Quality Assurance of Data
Quality assurance is of vital importance in avoiding costly repetitions of tests. We have certain methods to identify failures in recorded data early in the process avoiding necessary re-runs.
First of all, we specify the measurement system for the reference , install the measuring equipment in the vehicles, and plan the optimum test route. In doing so, we incorporate your specific points of interest (for example, 10 tunnel entrances, 3 construction sites, 20 traffic signs) in the shortest possible distance to save costs. Depending on the data already captured on schedule, this test route is updated daily and modified in line with altered road and weather conditions.
Tagging is carried out during the journey, with the driver storing predefined conditions such as weather or tunnel entrances in the AVL digital logbook (online tagging). The AVL Auto-Tagger also recognizes predetermined driving scenarios in the data stream and supplements the digital logbook procedure. This enables downstream testing of certain scenarios.
For usage of the data in a virtual environment, the OSI-to-Open-X converter generates Digital Twins of the scenarios.
By doing so, the system to be checked is subjected to as many realistic scenarios as possible in a reproducible test environment, to ensure it works properly in all defined conditions.
Our reference measurement system can also be used to collect data to train your AI models of the perception software stack.
Campaign Planning and Management
- Definition of data collection drive
- Definition and tracking of points of interest (POI)
- Specification of data collection requirements
- Route planning (initial)
Vehicle Instrumentation and Management
- Configuration, assembly, and commissioning of the measurement system
- Organization of driving permits at destinations
- Shipping and preparation of vehicles
Campaign Implementation
- Operational execution of data collection campaign
- Data logistics
Data Management, Analysis, and Processing
- Data processing such as data cleaning, data synchronization, identifying faulty data and removal of unusable data, checking data integrity
- Data enrichment through manual and automatic tagging
- Transfer of data to data center with subsequent data ingest
- Road to simulation conversion of data
Data-as-a-Service (DaaS) – The Complete Package
For a fixed price/km, we offer the following:
- Define objectives and KPIs for the f the measurement campaign– specification of your system
- Identify the best route for the quickest, most cost-effective achievement of KPIs
- Install the equipment in the vehicle and commission the systems
- Carry out the measurement campaign
- Collect the data and forward them to the data center
- When the data is available: Support with conversion to Digital Twins
Related Topics
We are constantly working on new solutions. The following might be interesting for you:
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