Gm Cruise Holdings LLC

Apple Inc.

Jia Pu

Clement Creusot

Na Yu

Divya Thuremella

Devang Kalidas Naik

Douglas R Davidson

Brent D Ramerth

Jannes G A Dolfing

A vehicle includes one or more cameras that capture a plurality of two-dimensional images of a three-dimensional object. A light detector and/or a semantic classifier search within those images for lights of the three-dimensional object. A vehicle signal detection module fuses information from the light detector and/or the semantic classifier to produce a semantic meaning for the lights. The vehicle can be controlled based on the semantic meaning. Further, the vehicle can include a depth sensor and an object projector. The object projector can determine regions of interest within the two-dimensional images, based on the depth sensor. The light detector and/or the semantic classifier can use these regions of interest to efficiently perform the search for the lights.

Multi-modal, multi-technique vehicle signal detection

Disambiguating multiple readings in language conversion is disclosed, including: receiving an input data to be converted into a set of characters comprising a symbolic representation of the input data in a target symbolic system; and using a language model that distinguishes between a first reading and a second reading of a character of the target symbolic system to determine a probability that the heteronymous character should be used to represent a corresponding portion of the input data.

Method for disambiguating multiple readings in language conversion

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Mountain View, CA, United States of America

Jia Pu