Tactical Aerial Resupply Vehicle Shawn Recker, Rob Baltrusch, Joe - - PowerPoint PPT Presentation

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Tactical Aerial Resupply Vehicle Shawn Recker, Rob Baltrusch, Joe - - PowerPoint PPT Presentation

Mar 12, 2024 248 likes •507 views

Autonomous Capabilities of the Joint Tactical Aerial Resupply Vehicle Shawn Recker, Rob Baltrusch, Joe Rosenthall, Jon Worobey, Christiaan Gribble, and Mark Butkiewicz SURVICE Engineering Company Applied Technology Operation 4603A Compass

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SMALL COMPANY VALUES, BIG COMPANY CAPABILITIES

Autonomous Capabilities of the Joint Tactical Aerial Resupply Vehicle

Shawn Recker, Rob Baltrusch, Joe Rosenthall, Jon Worobey, Christiaan Gribble, and Mark Butkiewicz SURVICE Engineering Company Applied Technology Operation 4603A Compass Point Road, Belcamp, MD 21017 shawn.recker@survice.com

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OUR PEOPLE

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With a staff of approximately people, SURVICE employees have backgrounds in engineering, physics, mathematics, chemistry, computer science, acquisition, technical writing, training, and other technical and administrative fields. And many of our personnel have DoD and/or

  • perational military experience. Using a

matrix approach, we draw on expertise from across

  • ur workforce to build customized work teams for

each project and customer. The result is a successful, skilled workforce and many satisfied customers.

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Since 1981, SURVICE has supported the DoD community, as well as the homeland security, advanced technologies, environmental, and commercial markets. We have also worked hard to retain the original vision upon which the company was founded—to provide the warfighter with the safest, most survivable, and most effective equipment possible. Our customer-acclaimed support primarily falls into five core business areas:

Test & Evaluation

Providing experience in the test and evaluation roles that are vital to the design, acquisition, and fielding of all new and modified combat systems.

Modeling & Simulation/ Software Engineering

Delivering a broad range of modeling and simulation, software engineering, and systems engineering capabilities.

Dimensional Metrology and Reverse Engineering

Offering customers precision dimensional metrology, modeling, and related services.

Studies & Analysis

Conducting a wide variety of safety, survivability, effectiveness, and systems engineering studies.

Information Technologies & Management

Collecting, maintaining, distributing, storing, verifying, and protecting the nation’s critical defense information.

ABOUT SURVICE

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Partnership

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Joint Tactical Aerial Resupply Vehicle (JTARV)

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Target Platform Architecture

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Common Control Module Flight Controller Ground Control Station Radio Transceiver Radio Controller

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Ground Control Station

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Common Control Module

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Autonomous Landing

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Autonomous Landing Pipeline

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Incoming Image DNN Detection Photogrammetry #39 Target Direction Computed Craft Movement Issued Disarm

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Pipeline Motivation

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Underlying Technologies

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Advanced 3D Reconstruction Real-Time In-Situ Intelligent Video Analytics

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DetectNet

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Input FCN Output Error

NVIDIA Parallel Forall: DetectNet [1]

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DetectNet Dataset Creation

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DetectNet Training with DIGITS

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HawkEye™ Advanced 3D Reconstruction Technology

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  • Project goals:
  • Low-cost means of capturing accurate 3D

data in the field for post-IED events in a secure environment

  • Data to feed analysis tools to estimate IED

event and post-event structural integrity

  • SURVICE developing HawkEye to

combine:

  • Structure-from-Motion (SfM) Technology
  • Image analysis can be done either on the

device or in a secure computing environment

  • Photogrammetry Technology
  • Hybrid approach substantially improves

accuracy of SfM from imagery alone

  • Low-cost 3D Scanning Technology
  • Increases 3D point cloud data and accuracy,

especially for large featureless surfaces

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HawkEye™ Photogrammetry Technology

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CMSC 2014 Paper Recently Published & Presented by SURVICE and UC Davis on Hybrid SfM Methodology

  • SURVICE has developed hybrid

photogrammetry technology for SfM to significantly improve accuracy over current SfM methods

  • Achieving an order-of-magnitude

improvement in 3D resolution/accuracy

  • Approach & preliminary

results published at CMSC 2014 conference

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HawkEye™ SfM Technology

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  • SURVICE & UC Davis developing methods

to produce dense reconstructions given initial sparse estimate

  • Currently uses parallax paths constraints

imposed by path of moving camera

  • Working to relax constraints to create a more

flexible dense reconstruction pipeline

Joint Paper by UC Davis and SURVICE on Dense SfM Methodology

HawkEye Dense SfM Existing State-of-the-Art

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Future Applications: Dense Aerial Reconstruction

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Parallax-Path Based Dense Reconstruction [3]

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Future Applications: Real-Time UAV Target Tracking

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Acknowledgement

This work was supported in part by the US Marine Corps SBIR program, the US Air Force SBIR program, and SURVICE Engineering’s Internal R&D program. The authors thank their colleagues in the Applied Technology Operation at SURVICE Engineering for their support.

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References

[1] DetectNet: Deep Neural Network for Object Detection in DIGITS Andrew Tao, Jon Barker, and Sryia Sarathy https://devblogs.nvidia.com/parallelforall/detectnet-deep-neural-network-object-detection-digits/ [2] Depth Data Assisted Structure-from-Motion Parameter Optimization and Feature Track Correction Shawn Recker, Christiaan Gribble, Mikhail M. Shashkov, Mario Yepez, Mauricio Hess-Flores, and Kenneth I. Joy Applied Imagery Pattern Recognition (AIPR), IEEE 2014 [3] Efficient Dense Reconstruction Using Geometry and Image Consistency Constraints Mikhail M. Shashkov, Jason Mak, Shawn Recker, Connie Nguyen, John Owens, Kenneth I. Joy AIPR 2015: Applied Imagery Pattern Recognition Workshop, Washington DC, 2015.

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Questions

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Providing unparalleled services and technology solutions in support of National Defense and the U.S. Warfighter. Serve our customers with specialized and innovative solutions, while promoting responsible growth and maintaining focus on our employees, values, and ethical standards.