BIT provides industry-leading training data sets as ground truth for machine learning and validation with highly scalable scene generation from real world scenarios.
Different sensor outputs as well as corner case variations are produced with a high degree of automation.
BIT takes pride in having a proven history of image labeling and scene annotation for different car OEMs.
We are a key supplier for labeling 2D, 3D bounding boxes as well as annotation based on combined inputs such as LIDAR, radar and camera.
Self-learning algorithm for automatic processing of camera data in unleashed quality. Delivery of segmented pictures and meta data in open JSON/XML field formats.
BIT’s expert knowledge on embedded GPUs and accelerator engines for data processing used in several reference projects allows for >30% performance improvements along with code size reductions.
BIT manages to combine AR/VR with odometry running in realtime on mobile devices.
We offer customers full app and algorithm development supported by in-house programmers and engineers.
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