Autonomous cars collect huge amounts of sensor and vehicle data, and this data must be organized and checked before it can be used to prove the system is safe. Data ingestion to V&V is simply the pipeline that moves raw data from test cars into clean, trusted datasets that engineers then use to verify and validate self‑driving functions.What data ingestion meansData ingestion is the process of copying raw logs from the cars (cameras, lidar, radar, GPS, CAN, etc.) into a central storage system where it can be processed.​Along the way, the data is checked for basic quality (file integrity, missing chunks), organized by trip and sensor type, and indexed so it is easy to search and retrieve later.​How it connects to V&VOnce ingested and cleaned, this data feeds verification tasks such as replays, regression tests, and performance checks for perception and planning models. Engineers use it to see if the software meets its requirements under many different real‑world situations.​The same curated data also supports validation, where teams check whether the whole system behaves safely and as intended in its target environment, often by turning real logs into scenarios for simulation and safety evidence.​ ‍

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