CLIENT STORY
synthetic dataset
synthetic dataset
LiDAR simulation
Deliver pixel-accurate training data for the Cron AI sensorEDGE perception system
Leverage synthetic data based on a generic LiDAR simulation providing point cloud images with ground truth
Multiple layers of meta information for each measurement point to enable a deferred post-processing of sensor specific measurement artifacts
(Additionally) simulate an RGB camera, in the same position as the LiDAR, producing spherical images to match the point clouds
Randomly generate thousands of 3D scenarios with the placement of sensor riggings and positioning of objects of interest according to Cron AI project’s specs