Advanced Driver Assistance SystemsStore, manage and analyze data for self-driving vehicles. Scale easily as your data grows. Get a DemoSolution Brief
Simplicity that delivers cost-effective performance
Qumulo enables enterprises to easily capture and store sensor data to build AI models for automation.
Customers like Hyundai MOBIS leverage Qumulo for analysis of hundreds of terabytes of video data from vehicle sensors used for designing and building assisted and autonomous cars. Qumulo’s cluster can ingest the steady stream of machine-generated data without constant management—a huge productivity benefit.
How it Works
Qumulo Hybrid Cloud File Storage for ADAS
Here is an example of a SIL workflow, where software simulates the behavior of an electronic control unit (ECU).
The captured sensor data is transferred to Qumulo, typically over SMB. From there the SIL servers retrieve it, resulting in many parallel read streams. The servers send the data, along with the test cases, out to the simulation software and then send the results back to the file storage system.
Data enrichment is the tags that are added to the video. The footage needs to be labeled and indexed so that developers can query for specific video sequences.