Advanced Cubesat Imaging

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Transcript Advanced Cubesat Imaging

Nathan Bossart, Joe Mayer, Bob Urberger
RASCAL ACIP
RASCAL Mission
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Imaging Payload



Awareness of
Cubesat
Environment
Object detection
Navigation
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
PICTURE HERE
Modules

Camera Interface

Image Processing
Algorithms Executed
in Hardware

Data Storage and
Output to Control
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PICTURE HERE
MAYBE
Camera
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Either Single FLIR
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OR Stereo Cell
Phone Cameras
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PICTURE OF
CAMERA HERE
Zedboard
Zynq-7000
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Xilinx ISE Dev. Environment

Vivado ISE
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ModelSim
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ChipScope
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Hardware/Camera Interface
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Serial
Communication
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Camera Control
Signals/Data
Packets
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PCB Integration
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Picture of Copper
Layout
Program Flow
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BLOCK DIAGRAM
HERE
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Software Verification
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Proof of Concept
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Python or Java
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Hardware Implementation

Hardware
Description
Languages
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Vivado High-Level
Synthesis
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Timing and Gate
Consumption
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Preprocessing


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Image
Segmentation
Separation of LEDs
from ambient
environment
Essential for all
subsequent
operations
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Object Detection
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Object Detection in RASCAL
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Algorithm Operation
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Distance Detection
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Distance Detection in RASCAL
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Algorithm Operation
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Objection Classification
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Object Classification in RASCAL
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Algorithm Operation
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Output to Control
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Timeline
10/28
Project Task
Data In and Out of System
Obtain Camera
Separate Processing into Blocks
Interface Camera with Hardware
Algorithm Verification in Software
Store Camera Data in Hardware
Preprocess Image
Achieve Block Functionalality
Merge Processing Blocks
Confirm Full Integration
Project Wrap-Up
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11/17
12/7
12/27
Dates of Years 2013-2014
1/16
2/5
2/25
3/17
4/6
4/26
Project Issues

Hardware Interface

Algorithm Feasibility

Software → Hardware
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Hardware Timing
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Future Work
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Bibliography
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Questions?
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