speckle reduction within nanosecond order pulse widths
play

Speckle reduction within nanosecond-order pulse widths for flash - PowerPoint PPT Presentation

Mar 24, 2023 •275 likes •640 views

Speckle reduction within nanosecond-order pulse widths for flash lidar applications Fergal Shevlin, Ph.D. DYOPTYKA, Ireland. Laser Display and Lighting Conference 2020 Yokohama, Japan. 2020-04-21 1 / 18 Direct time-of-flight systems Dark

  1. Speckle reduction within nanosecond-order pulse widths for flash lidar applications Fergal Shevlin, Ph.D. DYOPTYKA, Ireland. Laser Display and Lighting Conference 2020 Yokohama, Japan. 2020-04-21 1 / 18

  2. Direct time-of-flight systems Dark speckle causes non-detection of Rx pulse at some pixels. 2 / 18

  3. VCSEL array sources Array dimensions similar to camera pupil diameter. 3 / 18

  4. Speckle with insufficient angular separation of sources Single 22 ns pulse image, Mean of 100 different 22 ns pulse images, C S ≈ 24% . C S ≈ 24% . 4 / 18

  5. Speckle with insufficient angular separation of sources Single 14 ns pulse image, Mean of 100 different 14 ns pulse images, C S ≈ 24% . C S ≈ 24% . 4 / 18

  6. Speckle with insufficient angular separation of sources Single 6 ns pulse image, Mean of 100 different 6 ns pulse images, C S ≈ 20% . C S ≈ 20% . 4 / 18

  7. Speckle with insufficient angular separation of sources C S for 100 different pulse images of each duration. 5 / 18

  8. Alternative source configuration Source separation greater than camera pupil diameter. 6 / 18

  9. Speckle with sufficient angular separation of sources Different 22 ns pulse images, Mean of 100 different 22 ns pulse images, C S ≈ 24% . C S ≈ 3% . 7 / 18

  10. Speckle with sufficient angular separation of sources Different 14 ns pulse images, Mean of 100 different 14 ns pulse images, C S ≈ 24% . C S ≈ 4% . 7 / 18

  11. Speckle with sufficient angular separation of sources Different 6 ns pulse images, Mean of 100 different 6 ns pulse images, C S ≈ 20% . C S ≈ 3% . 7 / 18

  12. Speckle reduction within single pulse durations Randomize T X pulse wavefronts so that R X wavefronts less correlated. 8 / 18

  13. Speckle reduction within single pulse durations Randomize T X pulse wavefronts so R X pulse wavefronts highly correlated that R X wavefronts less correlated. to rough surface. 8 / 18

  14. DYOPTYKA deformable mirror Randomly-distributed surface deformations at frequencies up to tens of MHz . 9 / 18

  15. DYOPTYKA deformable mirror Randomly-distributed surface Microscope interferometer fringes deformations at frequencies resulting from convex and concave up to tens of MHz . surface deformations. 9 / 18

  16. Apparatus configuration #1 LD, DM, BP. 10 / 18

  17. Apparatus configuration #1 LD, DM, BP. LD emission, DM inactive. 10 / 18

  18. Apparatus configuration #1 LD, DM, BP. LD emission, DM inactive. LD 6 ns pulse, DM active. 10 / 18

  19. Apparatus configuration #1 LD, DM, BP. LD emission, DM inactive. LD 6 ns pulse, DM active. LD 6 ns pulse, DM active. 10 / 18

  20. Apparatus configuration #2 LD, DM, ED, BP. 11 / 18

  21. Apparatus configuration #2 LD, DM, ED, BP. ED pattern, DM inactive. 11 / 18

  22. Apparatus configuration #2 LD, DM, ED, BP. ED pattern, DM inactive. Region, 6 ns pulse, DM inactive. 11 / 18

  23. Apparatus configuration #2 LD, DM, ED, BP. ED pattern, DM inactive. Region, 6 ns pulse, DM inactive. Region, 6 ns pulse, DM active. 11 / 18

  24. Apparatus configuration #3 LD, DM, ED, GG, BP. 12 / 18

  25. Apparatus configuration #3 LD, DM, ED, GG, BP. GG pattern, DM inactive. 12 / 18

  26. Apparatus configuration #3 LD, DM, ED, GG, BP. GG pattern, DM inactive. LD 6 ns pulse, DM inactive. 12 / 18

  27. Apparatus configuration #3 LD, DM, ED, GG, BP. GG pattern, DM inactive. LD 6 ns pulse, DM inactive. LD 6 ns pulse, DM active. 12 / 18

  28. Speckle reduction within single pulse durations For 100 different pulse images for each duration. 13 / 18

  29. Verification for sensor sensitivity * For 100 different pulse images for each duration. 14 / 18

  30. Verification for sensor gain * For 100 different 6 ns pulse images for each gain factor. 15 / 18

  31. Verification for DM wave amplitudes ** For 100 different pulse image pairs for each duration. 16 / 18

  32. Conclusions � Relative improvement of > 20% to speckle contrast ratio demonstrated and verified for ≥ 6 ns pulse durations. � Should improve spatial resolution . . . by reducing the need for averaging within a range image. � Should improve temporal resolution . . . by reducing the need for averaging across multiple images. 17 / 18

  33. Conclusions � Relative improvement of > 20% to speckle contrast ratio demonstrated and verified for ≥ 6 ns pulse durations. � Should improve spatial resolution . . . by reducing the need for averaging within a range image. � Should improve temporal resolution . . . by reducing the need for averaging across multiple images. 17 / 18

  34. Conclusions � Relative improvement of > 20% to speckle contrast ratio demonstrated and verified for ≥ 6 ns pulse durations. � Should improve spatial resolution . . . by reducing the need for averaging within a range image. � Should improve temporal resolution . . . by reducing the need for averaging across multiple images. 17 / 18

  35. Conclusions � Relative improvement of > 20% to speckle contrast ratio demonstrated and verified for ≥ 6 ns pulse durations. � Should improve spatial resolution . . . by reducing the need for averaging within a range image. � Should improve temporal resolution . . . by reducing the need for averaging across multiple images. 17 / 18

  36. Thank You! Please contact me to discuss: fshevlin@dyoptyka.com 18 / 18

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend

CLASSIFICATION M. Mahdianpari, B. Salehi, F. Mohammadimanesh Presenter: Bahram Salehi 1 Content

CLASSIFICATION M. Mahdianpari, B. Salehi, F. Mohammadimanesh Presenter: Bahram Salehi 1 Content

A NOVEL CONTEXTUAL SPECKLE REDUCTION METHOD OF POLSAR IMAGES: EVALUATION OF SPECKLE REDUCTION EFFECTS ON SEA ICE CLASSIFICATION M. Mahdianpari, B. Salehi, F. Mohammadimanesh Presenter: Bahram Salehi 1 Content Introduction Sea ice

327 views • 30 slides
Laser Speckle interferometry: Laser Speckle interferometry: theory and applications theory and

Laser Speckle interferometry: Laser Speckle interferometry: theory and applications theory and

Laser Speckle interferometry: Laser Speckle interferometry: theory and applications theory and applications Maria L. Calvo Department of Optics, Complutense University of Madrid 17 th February 2017, 11:00 Leonardo Building Budinich Lecture

434 views • 18 slides
Speckle Imaging with IMAGIN A M ulti A perture Imaging Simulation Arun Surya A good idea is

Speckle Imaging with IMAGIN A M ulti A perture Imaging Simulation Arun Surya A good idea is

Speckle Imaging with IMAGIN A M ulti A perture Imaging Simulation Arun Surya A good idea is worth more than a large telescope Contents a. Atmosphere, Phase and Speckles b. Speckle Interferometry and Speckle masking c. IMAGIN :

578 views • 35 slides
Three-dimensional speckle tracking of the Three-dimensional speckle tracking of the right

Three-dimensional speckle tracking of the Three-dimensional speckle tracking of the right

Three-dimensional speckle tracking of the Three-dimensional speckle tracking of the right ventricle : right ventricle : Implications on survival in pulmonary hypertension Implications on survival in pulmonary hypertension Moceri P, Duchateau

408 views • 7 slides
COLUMNS VS. ROWS INFLUENCE OF THE REDUCTION ORDER IN MULTIPLIER VERIFICATION USING COMPUTER

COLUMNS VS. ROWS INFLUENCE OF THE REDUCTION ORDER IN MULTIPLIER VERIFICATION USING COMPUTER

COLUMNS VS. ROWS INFLUENCE OF THE REDUCTION ORDER IN MULTIPLIER VERIFICATION USING COMPUTER ALGEBRA Daniela Kaufmann Johannes Kepler University Linz, Austria Student Forum FMCAD 2019 October 23, 2019 San Jose, CA, USA Reduction Order

385 views • 3 slides
WARNING ! 1 x Pulse LE (PLS200) 1 x Power supply cord 2 x DVI male to HD15 female and DVI-D

WARNING ! 1 x Pulse LE (PLS200) 1 x Power supply cord 2 x DVI male to HD15 female and DVI-D

Pulse LE - Ref. PLS200 QUICK START GUIDE Thank you for choosing Analog Way and the Pulse LE. By following these simple steps, you will be able to setup and use your powerful Scaler/Switcher within minutes. Discover the Pulse LE extensive

507 views • 4 slides
Synchronization in distributed SDR for localization applications The challenge of nanosecond

Synchronization in distributed SDR for localization applications The challenge of nanosecond

Synchronization in distributed SDR for localization applications The challenge of nanosecond accuracy Johannes Schmitz, Manuel Hern andez January 31, 2016 Institute for Theoretical Information Technology Prof. Dr. Rudolf Mathar RWTH Aachen

1.16k views • 33 slides
Order Reduction of Large Scale DAE Models J.D. Hedengren and T. F. Edgar Department of Chemical

Order Reduction of Large Scale DAE Models J.D. Hedengren and T. F. Edgar Department of Chemical

Order Reduction of Large Scale DAE Models J.D. Hedengren and T. F. Edgar Department of Chemical Engineering The University of Texas at Austin 1 Outline Motivation Two Step Process for DAE Model Reduction 1. Reduction of

539 views • 29 slides
Model Order Reduction of Model Order Reduction of Parameterized Interconnect Networks

Model Order Reduction of Model Order Reduction of Parameterized Interconnect Networks

Model Order Reduction of Model Order Reduction of Parameterized Interconnect Networks Parameterized Interconnect Networks via a Two- -Directional Directional Arnoldi Arnoldi Process Process via a Two Yung-Ta Li joint work with Zhaojun

509 views • 33 slides
THE NANOSECOND TIME RESOLVED X-RAY DIFFRACTOMETRY WITH SYNCHROTRON RADIATION FOR EXPLORATION OF

THE NANOSECOND TIME RESOLVED X-RAY DIFFRACTOMETRY WITH SYNCHROTRON RADIATION FOR EXPLORATION OF

THE NANOSECOND TIME RESOLVED X-RAY DIFFRACTOMETRY WITH SYNCHROTRON RADIATION FOR EXPLORATION OF FAST PROCESSES IN SOLIDS TOLOCHKO, BORIS; ARAKCHEEV, ALEKSEY; ZHULANOV, VLADIMIR; TEN, KONSTANTIN; KOSOV, ALEKSANDR; AULCHENKO, VLADIMIR;

722 views • 42 slides
(Randomized) Localized Model Order Reduction Kathrin Smetana (University of Twente) March 24,

(Randomized) Localized Model Order Reduction Kathrin Smetana (University of Twente) March 24,

(Randomized) Localized Model Order Reduction Kathrin Smetana (University of Twente) March 24, 2020 ICERM Workshop Algorithms for Dimension and Complexity Reduction K Smetana (k.smetana@utwente.nl) Localized Model Order Reduction March

1.23k views • 88 slides
Model Order Reduction of Higher Order Systems Joint work with Peter Benner and Philip Saltenberger

Model Order Reduction of Higher Order Systems Joint work with Peter Benner and Philip Saltenberger

Model Order Reduction of Higher Order Systems Joint work with Peter Benner and Philip Saltenberger Heike Fabender, ICERM, February 2020 Institute for Numerical Analysis, TU Braunschweig Introduction Approach 1 Linearizations Example Robot

1.31k views • 118 slides
A connection between time domain model order reduction and moment matching Manuela Hund joint

A connection between time domain model order reduction and moment matching Manuela Hund joint

A connection between time domain model order reduction and moment matching Manuela Hund joint with Jens Saak September 2, 2016 Partners: Introduction Model order reduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

1.14k views • 54 slides
Matt Reis, Assistant Director Executive Order 2019-01 - GreenGov Executive Order 2019-01

Matt Reis, Assistant Director Executive Order 2019-01 - GreenGov Executive Order 2019-01

Mark Hand, Director Matt Reis, Assistant Director Executive Order 2019-01 - GreenGov Executive Order 2019-01 establishes the goal to strive to achieve a 26% reduction of net greenhouse gas emissions statewide by 2025 , and an 80% reduction of

731 views • 40 slides
Matt Reis, Assistant Director Executive Order 2019-01 - GreenGov Executive Order 2019-01

Matt Reis, Assistant Director Executive Order 2019-01 - GreenGov Executive Order 2019-01

Mark Hand, Director Matt Reis, Assistant Director Executive Order 2019-01 - GreenGov Executive Order 2019-01 establishes the goal to strive to achieve a 26% reduction of net greenhouse gas emissions statewide by 2025 , and an 80% reduction of

382 views • 21 slides
Matt Reis, Assistant Director Executive Order 2019-01 - GreenGov Executive Order 2019-01

Matt Reis, Assistant Director Executive Order 2019-01 - GreenGov Executive Order 2019-01

Mark Hand, Director Matt Reis, Assistant Director Executive Order 2019-01 - GreenGov Executive Order 2019-01 establishes the goal to strive to achieve a 26% reduction of net greenhouse gas emissions statewide by 2025 , and an 80% reduction of

429 views • 26 slides
Primary Care Infrastructure Applicant Conference February 4 and 8, 2008 February 4: Governor

Primary Care Infrastructure Applicant Conference February 4 and 8, 2008 February 4: Governor

Primary Care Infrastructure Applicant Conference February 4 and 8, 2008 February 4: Governor Nelson A. Rockefeller Empire State Plaza Concourse Meeting Room 3 Albany February 8: NYS Department of Health 90 Church Street, Room 4-PSC New

963 views • 17 slides
Child Labor Overview of findings on Child Labour in South Asia Sherin Khan Senior Specialist on

Child Labor Overview of findings on Child Labour in South Asia Sherin Khan Senior Specialist on

A Briefing on Child Labor Overview of findings on Child Labour in South Asia Sherin Khan Senior Specialist on Child Labor ILO DWT for South Asia A version of this presentation was made at: World Vision India Technical Approach for

508 views • 12 slides
North Everett and Delta Site Projects Northwest Neighborhood Association June 21, 2018 Our

North Everett and Delta Site Projects Northwest Neighborhood Association June 21, 2018 Our

North Everett and Delta Site Projects Northwest Neighborhood Association June 21, 2018 Our Company Cadman, Inc. and other affiliated companies Cadman, Inc. is an affiliated company of Lehigh Hanson Canada Region and has 24 active operations

399 views • 8 slides
Section5.1 Inverse Functions One-To-OneFunctions Definition A one-to-one (or 1-1 ) function has

Section5.1 Inverse Functions One-To-OneFunctions Definition A one-to-one (or 1-1 ) function has

Section5.1 Inverse Functions One-To-OneFunctions Definition A one-to-one (or 1-1 ) function has the property that no two x -values (inputs) have the same y -value (output). Definition A one-to-one (or 1-1 ) function has the property that no two

694 views • 40 slides
MSHA: General Update David G. Zatezalo Assistant Secretary of Labor Mine Safety and

MSHA: General Update David G. Zatezalo Assistant Secretary of Labor Mine Safety and

Southeast Mine Safety and Health Conference Birmingham, AL November 5, 2019 MSHA: General Update David G. Zatezalo Assistant Secretary of Labor Mine Safety and HealthAdministration 1 1 The MSHA Mission to prevent death, illness, and

450 views • 32 slides
Orbit matrices of symmetric designs and related self-dual codes Orbit matrices of symmetric

Orbit matrices of symmetric designs and related self-dual codes Orbit matrices of symmetric

Orbit matrices of symmetric designs and related self-dual codes Orbit matrices of symmetric designs and (a joint work with Dean Crnkovi c) related self-dual codes Sanja Rukavina Introduction sanjar@math.uniri.hr Orbit matrices of

487 views • 29 slides
On Distance Integral Graphs Complete Split Graphs Pokorn y, H c, Stevanovi c, Mil

On Distance Integral Graphs Complete Split Graphs Pokorn y, H c, Stevanovi c, Mil

On Distance Integral Graphs Joe Alameda Summary Things to know Distance Matrices Distance Integral Matrices Trees On Distance Integral Graphs Complete Split Graphs Pokorn y, H c, Stevanovi c, Mil sevi c April 14, 2017

644 views • 33 slides
1 Welton Corridor Blight Study What is a Blighted Area? An area that in its present

1 Welton Corridor Blight Study What is a Blighted Area? An area that in its present

Welton Corridor Blight Study What is a Blight Study? 1. An inventory of existing conditions within a defined area through two means: A visual observation of physical conditions in the field The collection of non-observable data from

527 views • 28 slides

More recommend