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