Aurora Flight Sciences Corporation

Terrence McKenna

Fabrice Kunzi

Donald Rogers

James Donald Paduano

James Peverill

Adam Woodworth

Dan Cottrell

Benjamin Freudberg

An autonomous vehicle is improved with a navigational system having both cameras and echolocation sensors. The cameras and echolocation sensors may be part of an optical and echolocation system, respectively, that may work in conjunction with, for example, a global positioning system to determine a course for the autonomous vehicle to reach an objective while detecting and avoid obstacles along the course.

Autonomous vehicle navigation system and method

An obstacle-avoidance system for a vehicle, the obstacle-avoidance system may comprise: a communication device; a plurality of sensors, the plurality of sensors configured to detect collision threats within a predetermined distance of the vehicle; and a processor. The processor may communicatively couple to the communication device and the plurality of sensors and configured to receive navigation commands being communicated to a control system via said communication device. The processor may also receive, from at least one of said plurality of sensors, obstruction data reflecting the position of an obstruction. Using the obstruction data, the processor identifies a direction for avoiding said obstruction. In response, the processor may output, via said communication device, a derivative command to said control system causing the vehicle to travel in said flight direction.

Dynamic collision-avoidance system and method

An aerial vehicle having a vision based navigation system for capturing an arresting cable situated at a landing site may comprise a fuselage having a propulsion system; an arresting device coupled to the fuselage, the arresting device to capture the arresting cable at the landing site; a camera situated on the aerial vehicle; an infrared illuminator situated on the aerial vehicle to illuminate the landing site, wherein the arresting cable has two infrared reflectors situated thereon; and an onboard vision processor. The onboard vision processor may (i) generate a plurality of coordinates representing features of the landing site using an image thresholding technique, (ii) eliminate one or more coordinates as outlier coordinates using linear correlation, and (iii) identify two of the plurality of coordinates as the two infrared reflectors using a Kalman filter.

Aerial system and vehicle for continuous operation

An aerial vehicle landing station comprising a first post and a second post, wherein the second post is spaced apart from the first post and a cable to capture an aerial vehicle, wherein the cable is stretched between the first post and the second post and configured to support the weight of the aerial vehicle once captured and the cable may provide a charging current to the aerial vehicle once captured. One or more markers may be further positioned on the cable to designate a landing point, wherein the one or more markers are configured to be visually tracked by the aerial vehicle. A cable management device coupled to the cable via one or more pulleys may regulate tension of the cable. A communications transceiver at the aerial vehicle landing station may wirelessly communicate data with the aerial vehicle.

An autonomous vehicle is improved with a navigational system having both cameras and echolocation sensors, each including overlapping fields of view. The cameras and echolocation sensors may be part of an optical and echolocation system, respectively, that may work in conjunction with a global positioning system to determine a course for the autonomous vehicle to reach an objective while detecting and avoid obstacles along the course.

An obstacle-avoidance system for a vehicle, the obstacle-avoidance system may comprise: a communication device; a plurality of sensors, the plurality of sensors configured to detect collision threats within a predetermined distance of the vehicle; and a processor. The processor may communicatively couple to the communication device and the plurality of sensors and configured to receive navigation commands being communicated to a control system via said communication device. The processor may also receive, from at least one of said plurality of sensors, obstruction data reflecting the position of an obstruction. Using the obstruction data, the processor identifies a direction for avoiding said obstruction. In response, the processor may output, via said communication device, a command to said control system causing the vehicle to travel in said flight direction.

An aerial vehicle system for gathering data may comprise a Waypoint Location, wherein the Waypoint Location comprises an arresting cable; a Ground Control Station, wherein the Ground Control Station comprises a charging cable; and an aerial vehicle, wherein the aerial vehicle comprises an onboard battery, a capturing hook and a sensor payload for generating surveillance data. The aerial vehicle may be configured to autonomously travel between the Waypoint Location and the Ground Control Station. The aerial vehicle may be configured to couple with the arresting cable via the capturing hook. The aerial vehicle may be configured to electronically couple with the charging cable via the capturing hook to facilitate charging the aerial vehicle's onboard battery.

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Manassas, VA, United States of America

Terrence McKenna