Efficient and highly accurate data generation for AI applications in the field of autonomous driving
Efficient and highly accurate data generation for AI applications in the field of autonomous driving
For the training of AI applications in the field of autonomous driving, innovative technologies are required to extract highly accurate, characteristic, and unbiased datasets from a large amount of data. just better DATA develops and implements a Smart Data Loop to efficiently collect relevant data, process it appropriately at the edge, and industrially utilize it. The data is filtered and pre-sorted during recording in the vehicle, qualified, pre-processed, and annotated. Data gaps and edge cases are identified, and synthetic data is enriched wherever necessary and meaningful. The project also explores automated anonymization of data, emphasizing the project’s principle of fair data generation.
For the training of AI applications in the field of autonomous driving, innovative technologies are required to extract highly accurate, characteristic, and unbiased datasets from a large amount of data. just better DATA develops and implements a Smart Data Loop to efficiently collect relevant data, process it appropriately at the edge, and industrially utilize it. The data is filtered and pre-sorted during recording in the vehicle, qualified, pre-processed, and annotated. Data gaps and edge cases are identified, and synthetic data is enriched wherever necessary and meaningful. The project also explores automated anonymization of data, emphasizing the project’s principle of fair data generation.
Project
jbDATA closes another gap on the road to safe autonomous driving.