Waymo LLC

Google Inc.

Providence Medical Technology, Inc.

Peter Craig Lombrozo

Joshua T Druker

Shigeru Tanaka

Bruce M McCormack

Jeffrey D Smith

Daniel Lynn Larner

Edward Liou

Martin A Leugers

Edward Fletcher Eyster

Jonathan Carver

Kurin Tu

Eric Teller

Felix Jose Alvarez Rivera

Atul Gupta

Courtney McCool

Bradley Templeton

Thomas Daniel

YooJung Ahn

Russell Leigh Smith

Andrew Barton-Sweeney

Carsten Jensen

Andrew Paul Warburton

Robert John Ellis

Jonathan Switkes

Kimberley Mae Richardson

Bruce M Mccormack

A vehicle configured to operate in an autonomous mode can obtain sensor data from one or more sensors observing one or more aspects of an environment of the vehicle. At least one aspect of the environment of the vehicle that is not observed by the one or more sensors could be inferred based on the sensor data. The vehicle could be controlled in the autonomous mode based on the at least one inferred aspect of the environment of the vehicle.

Inferring state of traffic signal and other aspects of a vehicle's environment based on surrogate data

An autonomous vehicle configured for active sensing may also be configured to weigh expected information gains from active-sensing actions against risk costs associated with the active-sensing actions. An example method involves: (a) receiving information from one or more sensors of an autonomous vehicle, (b) determining a risk-cost framework that indicates risk costs across a range of degrees to which an active-sensing action can be performed, wherein the active-sensing action comprises an action that is performable by the autonomous vehicle to potentially improve the information upon which at least one of the control processes for the autonomous vehicle is based, (c) determining an information-improvement expectation framework across the range of degrees to which the active-sensing action can be performed, and (d) applying the risk-cost framework and the information-improvement expectation framework to determine a degree to which the active-sensing action should be performed.

Consideration of risks in active sensing for an autonomous vehicle

The technology relates to a system for cleating a sensor cover. The system may comprise a wiper comprising a wiper support, a wiper blade, and a sensor cover. The wiper blade may be configured to clear the sensor cover of debris, and the sensor cover may be configured to house one or more sensors. A wiper motor may rotate the wiper and a sensor motor may rotate the sensor cover. The system wiper blade may comprise a first edge attached to the wiper support and a second edge which may be configured to be in contact with the sensor cover. The wiper blade may extend in a corkscrew shape around the wiper support. The wiper motor may be configured to rotate the wiper in a first direction and the sensor motor may be configured to rotate the sensor cover in a second direction opposite the first direction.

Cleaning device for spinning surface

The disclosure provides for a system. The system may include a rotational control system configured to rotate a seat of a vehicle, and one or more computing devices. The one or more computing devices may have one or more processors that are configured to determine that an impact is imminent at a location on the vehicle along a collision axis. A most favorable orientation may be determined by the one or more processors based on the determined location and collision axis. Using the rotational control system, the one or more processors may rotate the seat of the vehicle to the most favorable orientation in order to reduce risks of serious injury to a passenger in the seat caused by the imminent impact. A translational control system may be used by the one or more processors to translate the seat of the vehicle to a position relative to the determined location.

Moving seats in a vehicle to enhance occupant protection

A spinal joint distraction system for treating a facet joint including articular surfaces having a contour is disclosed and may include a delivery device including a generally tubular structure adapted to engage a facet joint, an implant adapted to be delivered through the delivery device and into the facet joint, the implant comprising two members arranged in opposed position, and an implant distractor comprising a generally elongate member adapted to advance between the two members of the implant causing separation of the members and distraction of the facet joint, wherein the implant is adapted to conform to the shape of the implant distractor and/or the articular surfaces of the facet upon being delivered to the facet joint. Several embodiments of a system, several embodiments of an implant, and several methods are disclosed including a method for interbody fusion.

Vertebral joint implants and delivery tools

Aspects of the disclosure relate to deployable structures, such as airbag systems, for vehicles. A system is disclosed for reducing likelihood of injury to a passenger in a collision. The system may include a seat configured to accommodate the passenger and an airbag system. At least a portion of the airbag system may be incorporated into a vehicle prior to deployment of the airbag system. The airbag system may include an airbag and a locking feature. The locking feature may be configured to lock the airbag with a locking portion of a vehicle when the airbag system has been deployed. The locking feature may be attached to the airbag. Aside from airbags, other confining structures, such as nets, shades, curtains, etc., may also be used as deployable structures.

Deployable passenger enclosure

The disclosure relates to assessing and responding to wheel slippage and estimating road friction for a road surface. For instance, a vehicle may be controlled in an autonomous driving mode in order to follow a trajectory. A wheel of the vehicle may be determined to be slipping such that the vehicle has limited steering control. In response to determining that the wheel is slipping, steering of one or more wheels may be controlled in order to orient the one or more wheels towards the trajectory in order to allow the vehicle to proceed towards the trajectory when the wheel is no longer slipping. In addition, the road friction may be estimated based on the determination that the wheel is slipping. The vehicle may be controlled in the autonomous driving mode based on the estimated road friction.

Road friction and wheel slippage assessment for autonomous vehicles

The disclosure relates to determining whether an optical interferent is located on a sensor window and providing a way to identify and discard erroneous sensor data. An example system includes a housing, having a first sensor window and a second sensor window, a laser light source, and an optical sensor. The first window has a first property for deflecting water, and the second window has a second property for deflecting water different from the first property. The source is configured to generate a beam of light through the first window. One or more processors are configured to receive sensor data from the optical sensor and determine that an optical interferent is located on a surface of at least one of the first window and the sensor window based on a comparison between sensor data corresponding to the first window and sensor data corresponding to the second window.

Lidar sensor window configuration for improved data integrity

The technology relates to a system for clearing a sensor cover. The system may comprise a wiper comprising a wiper support, a wiper blade, and a sensor cover. The wiper blade may be configured to clear the sensor cover of debris, and the sensor cover may be configured to house one or more sensors. A wiper motor may rotate the wiper and a sensor motor may rotate the sensor cover. The system wiper blade may comprise a first edge attached to the wiper support and a second edge which may be configured to be in contact with the sensor cover. The wiper blade may extend in a corkscrew shape around the wiper support. The wiper motor may be configured to rotate the wiper in a first direction and the sensor motor may be configured to rotate the sensor cover in a second direction opposite the first direction.

This technology relates to a system for clearing sensors. The system may include an air knife, a sensor cover, and a sensor motor. The sensor cover may be configured to house one or more sensors. The sensor motor may be used to rotate the sensor cover. The air knife may be configured to clear the sensor cover of debris by providing a pressurized stream of fluid against the sensor cover as the sensor motor rotates the sensor cover.

Growing community of inventors

Scotts Valley, CA, United States of America

Peter Craig Lombrozo