Qualcomm Incorporated

Jonathan Paul Davis

Daniel Warren Mellinger, Iii

Aleksandr Kushleyev

Ross Eric Kessler

Travis Van Schoyck

Paul Daniel Martin

Kristen Wagner Cerase

Moussa Ben Coulibaly

Michael Franco Taveira

Michael Joshua Shomin

John Anthony Dougherty

Donald Hutson

Charles Wheeler Sweet, Iii

Stephen Marc Chaves

Katie Cooper Davis

Matthew Hyatt Turpin

Clayton Dumstorff

Chad Willkie

Paul Ferrell

Daniel Warren Mellinger Iii

Various embodiments include methods and vehicles, such as an autonomous vehicle, a semi-autonomous vehicle, etc., for collaboratively directing or configuring one or more headlights of a vehicle to avoid visually interfering with operation of an oncoming vehicle. Various embodiments may include receiving, by a first vehicle processor, a first collaborative lighting message from a second vehicle, wherein the first collaborative lighting message requests that the first vehicle direct one or more headlights of the first vehicle to avoid visual interference with operation of the second vehicle and directing one or more the headlights of the first vehicle in accordance with the collaborative lighting plan. Directing the headlights to avoid visual interference with operation of the second vehicle may include switching the headlights to a low-beam configuration.

Collaborative vehicle headlight directing

Methods, systems, and devices for performing autonomous self-service are described. A robotic device may identify a status of a chamber associated with the robotic device based on sensor data received from a sensor of the robotic device and pause an autonomous debris collection process of the robotic device based on the identified status. The robotic device may automatically remove a first container from the chamber based on the identified status and discard the first container away from the robotic device. In some examples, the robotic device may discard the first container at a fixed position within a geo-boundary corresponding to the debris collection process. The robotic device may resume the autonomous debris collection process based on an introduction of a second container.

Robotic device performing autonomous self-service

Various embodiments include methods and interactive traffic control devices for interactively controlling traffic, which may include receiving refined location and state information associated with individual vehicles on a roadway, and determining customized dynamic traffic control instructions for a first one or more of the individual vehicles. The determined customized dynamic traffic control instructions may be based on the received refined location and state information and offer an optional route alternative to a set limited number of the individual vehicles. The first customized dynamic traffic control instructions may be transmitted by the interactive traffic control device to the first one or more of the individual vehicles.

Intelligent and adaptive traffic control system

Various embodiments include methods and vehicles, such as an autonomous vehicle, a semi-autonomous vehicle, etc., for collaboratively directing one or more headlights among vehicles traveling in a platoon. Various aspects may include transmitting, by a first vehicle processor of a first vehicle traveling in the platoon, a collaborative lighting plan to a second vehicle traveling in the platoon, wherein the collaborative lighting plan may direct the second vehicle to direct one or more headlights of the second vehicle in a direction other than a direction of travel of the platoon. The first vehicle processor may then direct one or more the headlights of the first vehicle in accordance with the collaborative lighting plan.

Various embodiments include methods and vehicles, such as an autonomous vehicle, a semi-autonomous vehicle, etc., for collaboratively directing one or more headlights by two or more vehicles. Various aspects may include receiving, by a first vehicle processor, a first vehicle collaborative lighting message from a second vehicle, in which the first vehicle collaborative lighting message requests that the first vehicle direct one or more headlights of the first vehicle to illuminate a target area of uncertainty that is disposed, relative to the first vehicle, in a direction other than a direction of travel of the first vehicle. The first vehicle processor may direct one or more the headlights of the first vehicle to illuminate the target area in accordance with the first vehicle collaborative lighting message.

Various embodiments include methods and vehicles, such as an autonomous vehicle, a semi-autonomous vehicle, etc., for collaboratively directing one or more headlights by two or more vehicles. Various aspects may include receiving, by a first vehicle processor, a first collaborative lighting message from a second vehicle, in which the first collaborative lighting message may request the first vehicle direct one or more headlights of the first vehicle, in collaboration with the second vehicle directing one or more headlights of the second vehicle according to a collaborative lighting plan, and directing, by the first vehicle processor, one or more of the headlights of the first vehicle in accordance with the collaborative lighting plan.

Various embodiments include processing devices and methods for managing cleaning behavior by a cleaning robot. In some embodiments, a processor of the cleaning robot may obtain user planning information and user location information from one or more information sources external to the cleaning robot. The processor may analyze the user planning information and the user location information. The processor may determine one or more cleaning parameters for the cleaning robot based on the analysis of the user planning information and the user location information. The processor may generate an instruction for the cleaning robot to schedule an operation of the cleaning robot based on the one or more cleaning parameters. The processor may execute the generated instruction to perform the operation of the cleaning robot.

Managing cleaning robot behavior

Embodiments include devices and methods operating a robotic vehicle. A robotic vehicle processor may detect an object posing an imminent risk of collision with the robotic vehicle. The robotic vehicle processor may determine a classification of the detected object. The robotic vehicle processor may manage a rotation of a rotor of the robotic vehicle prior to a collision based on the classification of the object.

Collision management for a robotic vehicle

Embodiments include methods performed by a processor of a robotic vehicle for detecting and responding to defects on an on-board imaging device that includes an image sensor. Various embodiments may include causing the imaging device to capture at least one image, determining whether a defect to the imaging device is detected based at least in part on the at least one captured image, and, in response to determining that a defect to the imaging device is detected, identifying an area of the image sensor corresponding to the defect and masking image data received from the identified area of the image sensor.

Systems and methods for improving performance of a robotic vehicle by managing on-board camera defects

A lighting system for an unmanned autonomous vehicle (UAV) adapts to the environment around the UAV to ensure status notification lights are visible to an operator and/or abide by regulatory lighting requirements. A processor of the UAV may receive information from various sensors regarding environmental conditions and location of the UAV, and adjust a UAV lighting system to ensure visibility under the environmental conditions. Adjustments to the lighting system may include selection of light sources that are illuminated, the illumination intensity of particular light sources, the colors emitted by various light sources and other lighting configurations.

Environmentally aware status LEDs for use in drones

Various embodiments include a structure configured to at least partially expose a barometric altimeter of an unmanned aerial vehicle (UAV) to air pressure at a location on the UAV where there is reduced pressure perturbations caused by downwash of propellers. The structure may include a proximal portion configured to encompass a barometric altimeter of a circuit board of the UAV. The proximal portion may form at least a partial barrier between the barometric altimeter and a first ambient air pressure that is disturbed by a downwash from propellers of the UAV during flight of the UAV. The structure may also include a distal portion extending away from the barometric altimeter, with the distal portion configured to channel to the barometric altimeter a second ambient air pressure that is disturbed less than the first ambient air pressure by the downwash from propellers of the UAV during flight of the UAV.

Pressure tap structures for barometric altimeters for unmanned aerial vehicles

Embodiments described herein relates to an Unmanned Aerial Vehicle (UAV) having vibration dampening and isolation capabilities, the UAV including a first frame portion, a second frame portion, and a third frame portion. Each of the first frame portion, the second frame portion, and the third frame portion is separated from one another. At least one first support member inelastically coupling the first frame portion and the third frame portion. At least one second support member elastically coupling the second frame portion and one or more of the first frame portion or the third frame portion to isolate the first frame portion and the third frame portion from vibration of the second frame portion.

Growing community of inventors

Philadelphia, PA, United States of America

Jonathan Paul Davis