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ACIP PowerPoint Presentation

ACIP

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ACIP

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  1. ACIP Nathan Bossart Joe Mayer RASCAL ACIP

  2. Boeing and SSRL Defining Mission • Additional Constraints • Sensor • Software verification completed • Test Cubesat and test data created • Test camera obtained and functioning (in hardware) Background and Current Status RASCAL ACIP

  3. Hardware Accelerated IP System • Video Sensor Data: • Distance • Velocity • Classification & Recognition • Latency < 50 ms • Throughput 30fps Deliverables RASCAL ACIP

  4. Video In • Custom Logic/HLS • VDMA • CPU (OpenCV and Hardware Configuration) • VDMA • Video Out Implementation Xilinx XAPP1167 RASCAL ACIP

  5. Sensor Result Error Ranges • Latency and Throughput Calculations • Custom Logic HLS OpenCVTestbench • Hardware Signal Analysis Testing RASCAL ACIP

  6. Timeline Update RASCAL ACIP

  7. [1] Jan Erik Solem, Programming Computer Vision with Python. Creative Commons.[2] Dr. Ebel, Conversation[3] Dr. Fritts, Conversation[4] Dr. Mitchell, Conversation[5] Milan Sonka, Vaclav Hlavac, Roger Boyle, Image Processing, Analysis, and Machine Vision. Cengage Learning; 3rd edition.[6] http://www.cs.columbia.edu/~jebara/htmlpapers/UTHESIS/node14.html October 29, 2013 • [7] http://cubesat.slu.edu/AstroLab/SLU-03__Rascal.html October 31, 2013 • [8] http://docs.opencv.org/ November 11, 2013 • [9] Gary Bradski, Adrian Kaehler, Learning OpenCV: Computer Vision with the OpenCV Library. O’Reilly Media, Inc.; 1st edition. • [10] Matthew Russell, Scott Fischaber, " OpenCV Based Road Sign Recognition on Zynq," 2010 11th IEEE Internation Conference On Industrial Informatics, pp. 596-601, July 29, 2013. • [11] http://hamsterworks.co.nz/mediawiki/index.php/OV7670_camera February 10th, 2014 Bibliography RASCAL ACIP

  8. Questions? RASCAL ACIP