The Charles Stark Draper Laboratory, Inc.

Fei Sun

Troy B Jones

Scott Lennox

Philip S Babcock, Iv

Emily Vincent

Michael Stillo

Kimberly Ryan

Kelly Sprehn

Ryan M Brill

Gregory G Busillo

In an embodiment, a method includes receiving, at an autonomous vehicle, reported data regarding an object in proximity to the autonomous vehicle. The data is collected by a collecting device external to the autonomous vehicle, and is relayed to the autonomous vehicle via a server. The reported data includes a current location, type, or predicted location of the object. The method further includes determining whether the reported data of the object matches an object in an object list determined by on-board sensors of the autonomous vehicle. If the determination finds a found object in the object list, the method correlates the reported data of the object to the found object in the object list. Otherwise, the method adds the reported data of the object to an object list of objects detected by sensor from on-board sensors of the autonomous vehicle. In embodiments, the collecting device is a mobile device.

Enhancing autonomous vehicle perception with off-vehicle collected data

A defect visualization system includes an augmented reality display system to display an image representing a defect, such as missing metal, in a ferromagnetic material when a user gazes at a portion of the ferromagnetic material hosting the defect, based on magnetic field data provide by a magnetometry system, thereby facilitating locating the defect and replacing magnetometers after the defect has been repaired, even if location references originally present on cladding material are lost or destroyed during the repair.

Augmented reality visualization for pipe inspection

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Belmont, MA, United States of America

Fei Sun