Gm Cruise Holdings LLC

Christophe Philippona

Eric Lujan

Shiva Ghose

Curt Harrington

Ryan Holben

Daniel Chen

Christopher Daily-Diamond

Ted Nitz

Mason Swofford

Benjamin Greer

Francesco Capodieci

Tejeswara Reddy Pogula

Tal Benisty

Brian L Clark

Michael Alan Huff

Jiajian Zhou

Flavius Popescu

Chad Lawrence Bettencourt

Yuxi Zhang

Myung Jin Kim

An autonomous vehicle (AV) is described herein. The AV is configured to identify an occluded region where a portion of a field of view of a sensor is occluded by an object. The AV is further configured to hypothesize that an object exists in the occluded region and is moving in the occluded region. The AV is still further configured to perform a driving maneuver based upon the hypothesized object existing in the occluded region.

Autonomous vehicle maneuvering based upon risk associated with occluded regions

To visualize planned behavior of an autonomous vehicle (AV) traveling along a roadway, a user interface engine receives data describing a planned pathway of the AV along the roadway and object data describing an object having a predicted pathway crossing the planned pathway of the AV at a cross point. The user interface engine classifies the object either an asserting object or a yielding object based on a prediction of whether the object reaches the cross point before the AV or after the AV. The user interface engine generates an image that includes the planned pathway of the AV and the object in the environment of the AV. The image of the object indicates whether the object is classified as an asserting object or a yielding object.

Visualization of planned autonomous vehicle behavior

Growing community of inventors

San Francisco, CA, United States of America

Christophe Philippona