Ford Global Technolgoies, LLC

Nelson Brock

James Carthew

Michael Musa Azzouz

Raj Sohmshetty

Siddharthan Selvasekar

Peter Simeon Lazarevski

Richard Howard Wykoff

Timothy Panagis

John Galin

Austin Thind

Joseph Bell

Resilient unmanned aerial vehicle landing platforms are disclosed herein. An example device includes a base plate having protuberances that are arranged into rows of concentric rings, each of the protuberances being a conical member that extends orthogonally from the base plate, wherein each of the protuberances is resilient and are adapted to arrest and protect the drone during landing.

Resilient unmanned aerial vehicle landing platforms

This disclosure describes a moonroof accessory panel. The moonroof accessory panel may be a structure that may be removably attached to a moonroof area of a vehicle. The moonroof accessory panel may be used to hold a drone associated with the vehicle such that the drone may take-off from and land on the moonroof accessory panel. The top of the moonroof accessory panel may also be accessible from the cabin of the vehicle such that a user may place the drone on top of the moonroof accessory panel while inside the cabin. The moonroof accessory panel may also be used for other purposes beyond holding drones as well.

Moonroof accessory panel

Exemplary embodiments described in this disclosure are generally directed to a collaborative relationship between a vehicle and a UAV. In one exemplary implementation, a computer that is provided in the vehicle uses images captured by an imaging system in the UAV together with images captured by an imaging system in the vehicle, to modify a suspension system of the vehicle based on a nature of the terrain located below, or ahead, of the vehicle. The computer may, for example, modify a suspension system before the vehicle reaches a rock or a pothole on the ground ahead. In another exemplary implementation, the computer may generate an augmented reality image that includes a 3D model of the vehicle rendered on an image of a terrain located below, or ahead of, the vehicle. The augmented reality image may be used by a driver of the vehicle to drive the vehicle over such terrain.

Collaborative relationship between a vehicle and a UAV

Landing apparatuses for unmanned aerial vehicles are provided herein. An example UAV includes a frame; a propeller rotatably coupled to the frame; and a landing guard armature extending from the frame. A terminal end of the landing guard armature extends beyond a propeller radius of the propeller. The landing guard armature has a surface area that is sized to promote airflow around the landing guard armature.

Landing apparatuses for unmanned aerial vehicles

A database stored electrical signatures of mounting points for generic modules within a vehicle model. Software for programming each mounting point is mapped to the mounting points. For a production unit of the vehicle model, generic modules are placed at the mounting points without being programmed to perform a specific function. The generic modules measure the electrical signature of the mounting point at which they are mounted. The generic modules then coordinate with a server to identify a matching electrical signature in the database and programming the generic modules with corresponding software for performing specific functions.

Automated identification of generic module location per electrical signatures

Apparatuses for securing drones during transport and methods of use are disclosed herein. An example apparatus includes a structural panel of a vehicle having a compartment configured to receive and retain a drone, a retractable cover member configured to at least partially cover the compartment to create an enclosure around the drone, and a drone securement assembly that retains the drone within the enclosure so as to prevent the drone from displacement during vehicle operation.

Apparatuses for securing drones during transport and methods of use

Systems and methods for secure transportation and safe deployment of unmanned aerial vehicles are disclosed herein. An example method includes performing a UAV preflight procedure that includes determining UAV startup sounds from sound signals received from a microphone positioned within a housing that houses the UAV, determining synchronized rotation of propellers of the UAV, determining that no obstructions are present above the housing based on range finder signals; and releasing the UAV after completion of the UAV preflight procedure.

Growing community of inventors

Palo Alto, CA, United States of America

Nelson Brock