Driving simulation company rFpro has developed what it says is a new approach to cut hardware costs of large-scale AV simulation, with ‘Data Farming’ enabling customers to build complete datasets covering the full vehicle system in which every sensor is simulated at the same time.
The data being synchronized across all sensors allows customers employing sensor fusion to bring together data including multiple 8K HDR stereo cameras, LiDAR and radar sensors.
Matt Daley, rFpro managing director, said, “This approach from rFpro provides a digital, cost-effective way of creating the same data completely error-free and 10,000 times quicker compared to manual annotation, which takes around 30 minutes per frame with a 10% error rate. This step-change will enable deep learning to fulfil its potential because it significantly reduces the cost and time of generating useful training data.”
Data Farming is to be used by existing customers including DENSO ADAS Engineering Services.
