Patent ID: 11958500
Assignee: GHOST AUTONOMY INC.
Field: Computer technology (Electrical engineering)
Classification: CPC B  G | IPC B  G

Claim 0:
1. A method comprising:
generating a low-discrepancy sequence in a multidimensional space comprising a plurality of multidimensional points;
mapping each sample of a plurality of samples of a data corpus to a corresponding entry in the low-discrepancy sequence, wherein each sample of the plurality of samples is encoded as a record comprising a plurality of field-value pairs, wherein the plurality of field-value pairs comprises one or more environmental descriptors for an environment relative to a corresponding vehicle and one or more state descriptors describing a state of the corresponding vehicle, wherein each sample is generated by and received from the corresponding vehicle;
selecting, from the data corpus, a training data set by selecting, for each multidimensional point of the low-discrepancy sequence having one or more mapped samples, a mapped sample for inclusion in the training data set; and
training one or more models used to generate autonomous driving decisions of an autonomous vehicle based on the selected training data set.