This is a proposal for the development of OpenLABEL, a new standard regarding the Labeling, for Machine Learning models training and validation, of raw data generated by vehicles equipped with sensors with the capacity to enable any SAE level of autonomy >= 2. In addition to the labeling of Datasets for machine learning the OpenLABEL Standard will also provide scenario labelling methodology
This is a proposal for the development of OpenLABEL, a new standard regarding the Labeling, for Machine Learning models training and validation, of raw data generated by vehicles equipped with sensors with the capacity to enable any SAE level of autonomy >= 2. In addition to the labeling of Datasets for machine learning the OpenLABEL Standard will also provide scenario labeling methodology
From working with different customers, a significant fragmentation emerged in the way each individual organization categorizes and describes the objects populating the driving environment. Such categorizations and descriptions are the fundamental building block of any Autonomous Driving System’s (ADS) perception stack, since it is through them that an ADS come to a primal understanding of the status of around itself, including the entities present and some aspects of their behavior. Many vital driving decisions are based on this understanding.
