Fast, time-correlated logging of relevant data during real test drives with a variety of environmental sensors, such as camera, radar, or lidar as well as vehicle buses. Use AI to decide when to record which data.

Centralize, store, filter, preview, post-process, analyze, and share your recorded data with IVS.

Enrich your raw sensor data with high quality 2-D and 3-D annotations. The better the annotations, the better your AI performance.

Transform your recorded sensor data to an accurate and fully customizable simulation. Replay recorded situations or adapt them to your requirements.

Simulate your scenarios or generate entirely new scenes to create sensor-realistic data for training and testing your AI algorithms.

dSPACE is tackling the challenges of training and validating AI-based functions in cooperation with 16 partners in a large collaborative project, KI Data Tooling (funded by the German Federal Ministry for Economic Affairs and Energy - BMWi).