Lyft, Inc.
APPROACHES FOR ENCODING ENVIRONMENTAL INFORMATION

Last updated:

Abstract:

Systems, methods, and non-transitory computer-readable media can access a plurality of schema-based encodings providing a structured representation of an environment captured by one or more sensors associated with a plurality of vehicles traveling through the environment. The plurality of schema-based encodings can be clustered into one or more clusters of schema-based encodings. At least one scenario associated with the environment can be determined based at least in part on the one or more clusters of schema-based encodings.

Status:
Application
Type:

Utility

Filling date:

28 Jun 2019

Issue date:

31 Dec 2020