Mr. Robert V. McDaniel Profile

Robert V. McDaniel

Owner at WSPK Inc.

SPIE Involvement:

Author

Proceedings Article | 4 May 2007 Paper

EO/IR sensors enhance border security, part two

Dror Sharon, Robert McDaniel

Proceedings Volume 6540, 65400G (2007) https://doi.org/10.1117/12.724782

KEYWORDS: Sensors, Thermography, Infrared sensors, Cameras, Infrared cameras, Imaging systems, Charge-coupled devices, Surveillance, Border security, Infrared imaging

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Proceedings Article | 18 May 2006 Paper

Long range handheld thermal imager

Edward Seibel, Andrew Struckhoff, Robert McDaniel, Shlomo Shamai

Proceedings Volume 6206, 62062V (2006) https://doi.org/10.1117/12.682560

KEYWORDS: Thermography, Imaging systems, Sensors, Infrared radiation, Control systems, Infrared imaging, Atmospheric optics, Target detection, Target recognition, Organic light emitting diodes

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Proceedings Article | 5 May 2006 Paper

EO/IR sensors for border security applications

Robert McDaniel, Robert Hughes, Edward Seibel

Proceedings Volume 6203, 620304 (2006) https://doi.org/10.1117/12.673678

KEYWORDS: Sensors, Infrared sensors, Target detection, CCD image sensors, Homeland security, Infrared radiation, Target recognition, Control systems, Border security, Surveillance

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Proceedings Article | 21 October 2005 Paper

A novel low-cost targeting system (LCTS) based upon a high-resolution 2D imaging laser radar

Robert Grasso, Jefferson Odhner, John Wikman, Fred Skaluba, George Dippel, Robert McDaniel, David Ferrell, William Seibel

Proceedings Volume 5988, 59880L (2005) https://doi.org/10.1117/12.630525

KEYWORDS: Cameras, Imaging systems, Target detection, Pulsed laser operation, Sensors, Forward looking infrared, Long wavelength infrared, Target designation, Gated imaging, Target recognition

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Proceedings Article | 21 October 2005 Paper

A model and simulation to predict the performance of angle-angle-range 3D flash LADAR imaging sensor systems

Robert Grasso, Jefferson Odhner, Leonard Russo, Robert McDaniel

Proceedings Volume 5988, 598807 (2005) https://doi.org/10.1117/12.630517

KEYWORDS: 3D modeling, LIDAR, Signal to noise ratio, Target detection, Systems modeling, Atmospheric modeling, Imaging systems, Sensors, Performance modeling, Backscatter

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BAE SYSTEMS reports on a program to develop a high-fidelity model and simulation to predict the performance of angle-angle-range 3D flash LADAR Imaging Sensor systems. 3D Flash LADAR is the latest evolution of laser radar systems and provides unique capability in its ability to provide high-resolution LADAR imagery upon a single laser pulse; rather than constructing an image from multiple pulses as with conventional scanning LADAR systems. However, accurate methods to model and simulate performance from these 3D LADAR systems have been lacking, relying upon either single pixel LADAR performance or extrapolating from passive detection FPA performance. The model and simulation developed and reported here is expressly for 3D angle-angle-range imaging LADAR systems. To represent an accurate "real world" type environment, this model and simulation accounts for: 1) laser pulse shape; 2) detector array size; 3) atmospheric transmission; 4) atmospheric backscatter; 5) atmospheric turbulence; 6) obscurants, and; 7) obscurant path length. The angle-angle-range 3D flash LADAR model and simulation accounts for all pixels in the detector array by modeling and accounting for the non-uniformity of each individual pixel in the array. Here, noise sources are modeled based upon their pixel-to-pixel statistical variation. A cumulative probability function is determined by integrating the normal distribution with respect to detector gain, and, for each pixel, a random number is compared with the cumulative probability function resulting in a different gain for each pixel within the array. In this manner very accurate performance is determined pixel-by-pixel. Model outputs are in the form of 3D images of the far-field distribution across the array as intercepted by the target, gain distribution, power distribution, average signal-to-noise, and probability of detection across the array. Other outputs include power distribution from a target, signal-to-noise vs. range, probability of target detection and identification, and NEP vs. gain.

Proceedings Article | 23 August 2005 Paper

Novel linear phase conjugation atmospheric turbulence compensation concept based upon real-time interactive media sampling holography for target-in-the-loop

Robert Grasso, Leonard Russo, Robert McDaniel

Proceedings Volume 5895, 589504 (2005) https://doi.org/10.1117/12.610946

KEYWORDS: Holograms, Spatial light modulators, Staring arrays, Phase conjugation, Holography, Atmospheric turbulence, Atmospheric propagation, Electronics, Signal to noise ratio, Laser energy

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Proceedings Article | 20 August 2005 Paper

A polyspectral LADAR optical breakscreen projectile sensor for reactive countermeasure queuing

Robert Grasso, Patricia Bodan, M. Smith, Jefferson Odhner, Eldon Sutphin, John McNeil, Robert McDaniel

Proceedings Volume 5871, 58710H (2005) https://doi.org/10.1117/12.611186

KEYWORDS: Sensors, Receivers, LIDAR, Electronics, Transmitters, Radar, Calibration, Velocity measurements, Integrated optics, Systems modeling

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Proceedings Article | 8 December 2004 Paper

Laser radar range and detection performance for MEMS corner cube retroreflector arrays

Robert Grasso, Jefferson Odhner, Hamilton Stewart, Robert McDaniel

Proceedings Volume 5614, (2004) https://doi.org/10.1117/12.581776

KEYWORDS: Retroreflectors, Sensors, Signal to noise ratio, Microelectromechanical systems, Atmospheric sensing, LIDAR, Telecommunications, Receivers, Backscatter, Reflectivity

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Proceedings Article | 4 November 2004 Paper

A model and simulation to predict the performance of angle-angle-range 3D flash ladar imaging sensor systems

Robert Grasso, Jefferson Odhner, Leonard Russo, Robert McDaniel

Proceedings Volume 5575, (2004) https://doi.org/10.1117/12.565541

KEYWORDS: 3D modeling, LIDAR, Signal to noise ratio, Target detection, Systems modeling, Imaging systems, Atmospheric modeling, Sensors, Performance modeling, Backscatter

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BAE SYSTEMS reports on a program to develop a high-fidelity model and simulation to predict the performance of angle-angle-range 3D flash LADAR Imaging Sensor systems. 3D Flash LADAR is the latest evolution of laser radar systems and provides unique capability in its ability to provide high-resolution LADAR imagery upon a single laser pulse; rather than constructing an image from multiple pulses as with conventional scanning LADAR systems. However, accurate methods to model and simulate performance from these 3D LADAR systems have been lacking, relying upon either single pixel LADAR performance or extrapolating from passive detection FPA performance. The model and simulation developed and reported here is expressly for 3D angle-angle-range imaging LADAR systems. To represent an accurate "real world" type environment, this model and simulation accounts for: 1) laser pulse shape; 2) detector array size; 3) atmospheric transmission; 4) atmospheric backscatter; 5) atmospheric turbulence; 6) obscurants, and; 7) obscurant path length. The angle-angle-range 3D flash LADAR model and simulation accounts for all pixels in the detector array by modeling and accounting for the non-uniformity of each individual pixel in the array. Here, noise sources are modeled based upon their pixel-to-pixel statistical variation. A cumulative probability function is determined by integrating the normal distribution with respect to detector gain, and, for each pixel, a random number is compared with the cumulative probability function resulting in a different gain for each pixel within the array. In this manner very accurate performance is determined pixel-by-pixel. Model outputs are in the form of 3D images of the far-field distribution across the array as intercepted by the target, gain distribution, power distribution, average signal-to-noise, and probability of detection across the array. Other outputs include power distribution from a target, signal-to-noise vs. range, probability of target detection and identification, and NEP vs. gain.

Proceedings Article | 12 January 2004 Paper

Laser radar range and detection performance for MEMS corner cube retroreflector arrays

Robert Grasso, Steven Jost, M. Smith, Robert McDaniel

Proceedings Volume 5240, (2004) https://doi.org/10.1117/12.519711

KEYWORDS: Retroreflectors, Sensors, Signal to noise ratio, Microelectromechanical systems, LIDAR, Receivers, Backscatter, Reflectivity, Scattering, Atmospheric sensing

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Proceedings Article | 26 October 1998 Paper

Image fusion for tactical applications

Robert McDaniel, Dean Scribner, William Krebs, Penny Warren, Norman Ockman, Jason McCarley

Proceedings Volume 3436, (1998) https://doi.org/10.1117/12.328069

KEYWORDS: Sensors, Image fusion, Image processing, Infrared imaging, Infrared radiation, Target detection, Data fusion, Infrared sensors, Cameras, Visible radiation

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Showing 5 of 11 publications

Conference Committee Involvement (6)

Optical Technologies for Arming, Safing, Fuzing, and Firing VI

2 August 2010 | San Diego, California, United States

Optical Technologies for Arming, Safing, Fuzing, and Firing V

5 August 2009 | San Diego, California, United States

Optical Technologies for Arming, Safing, Fuzing, and Firing IV

13 August 2008 | San Diego, California, United States

Optical Technologies for Arming, Safing, Fuzing, and Firing III

29 August 2007 | San Diego, California, United States

Optical Technologies for Arming, Safing, Fuzing, and Firing II

14 August 2006 | San Diego, California, United States

Showing 5 of 6 Conference Committees

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