Dr. Peter K. Willett Profile

Dr. Peter K. Willett

at Univ of Connecticut

SPIE Involvement:

Conference Program Committee | Author

Publications (114)

Proceedings Article | 7 June 2024 Presentation + Paper

Statistically efficient estimation of noise variances for a Wiener process observed with measurement noise

Shida Ye, Yaakov Bar-Shalom, Peter Willett, Ahmed Zaki

Proceedings Volume 13057, 130570A (2024) https://doi.org/10.1117/12.3016575

KEYWORDS: Fluctuations and noise, Statistical analysis, Gyroscopes, Stochastic processes

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Proceedings Article | 6 June 2022 Presentation + Paper

Collocated sensors bias estimation in autonomous driving

Kaipei Yang, Yaakov Bar-Shalom, Peter Willett, Shawn Hunt

Proceedings Volume 12115, 121150E (2022) https://doi.org/10.1117/12.2618523

KEYWORDS: Sensors, LIDAR, Statistical modeling, Statistical analysis, Motion models, Motion estimation, Error analysis, Radar, Process modeling, Manufacturing

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Proceedings Article | 21 May 2021 Presentation + Paper

Resolving two point targets with unequal and unknown Intensities in a FPA

Andrew Finelli, Yaakov Bar-Shalom, Peter Willett, B. Milgrom, R. Ben-Dov

Proceedings Volume 11756, 1175604 (2021) https://doi.org/10.1117/12.2588245

KEYWORDS: Target detection, Staring arrays, Point spread functions, Signal to noise ratio, Monte Carlo methods

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Proceedings Article | 22 April 2020 Presentation + Paper

Measurement extraction of two targets with unequal intensities in a FPA

Andrew Finelli, Yaakov Bar-Shalom, Peter Willett, B. Milgrom, R. Ben-Dov

Proceedings Volume 11423, 1142306 (2020) https://doi.org/10.1117/12.2559503

KEYWORDS: Point spread functions, Staring arrays, Signal to noise ratio, Sensors, Monte Carlo methods, Photons, Error analysis, RGB color model, Electro optical modeling, Data modeling

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Proceedings Article | 22 April 2020 Presentation + Paper

Bias estimation for collocated sensors with a target of opportunity and measurement fusion

Kaipei Yang, Yaakov Bar-Shalom, Peter Willett, Hiroshi Inou

Proceedings Volume 11423, 1142303 (2020) https://doi.org/10.1117/12.2557830

KEYWORDS: Sensors, Radar, Filtering (signal processing), Error analysis, Process modeling, Detection and tracking algorithms, LIDAR, Motion estimation, Monte Carlo methods, Stochastic processes

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Proceedings Article | 7 May 2019 Presentation + Paper

Target tracking in over the horizon radar

Andrew Finelli, Yaakov Bar-Shalom, Peter Willett, Francesco A. Palmieri, Braham Himed

Proceedings Volume 11018, 1101803 (2019) https://doi.org/10.1117/12.2519776

KEYWORDS: Radar, Motion models, Target detection, Signal detection, Monte Carlo methods, Motion estimation, Error analysis, Optimization (mathematics), 3D modeling, Ray tracing

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Proceedings Article | 7 May 2019 Presentation + Paper

CRLB for multi-sensor rotational bias estimation for passive sensors without target state estimation

Michael Kowalski, Yaakov Bar-Shalom, Peter Willett, Benny Milgrom, Ronen Ben-Dov

Proceedings Volume 11018, 1101805 (2019) https://doi.org/10.1117/12.2519769

KEYWORDS: Sensors, Passive sensors, 3D acquisition, Error analysis, Statistical analysis, Monte Carlo methods, 3D modeling, 3D metrology, Motion measurement, Spherical lenses

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Proceedings Article | 7 May 2019 Presentation + Paper

Extracting fast targets from an EO sensor

Andrew Finelli, Yaakov Bar-Shalom, Peter Willett, B. Milgrom, R. Ben-Dov

Proceedings Volume 11018, 1101802 (2019) https://doi.org/10.1117/12.2519775

KEYWORDS: Point spread functions, Staring arrays, Signal to noise ratio, Monte Carlo methods, Target detection, Sensors, Error analysis, Photons, Motion estimation

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Proceedings Article | 7 May 2019 Presentation + Paper

The cross-covariance for heterogeneous track-to-track fusion

Kaipei Yang, Yaakov Bar-Shalom, Peter Willett

Proceedings Volume 11018, 1101806 (2019) https://doi.org/10.1117/12.2520001

KEYWORDS: Active sensors, Sensors, Error analysis, Monte Carlo methods, Process modeling, Passive sensors, Motion models, Information fusion, Tantalum, Associative arrays

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Proceedings Article | 7 May 2019 Presentation + Paper

On-demand track-to-track fusion using local IMM inside information

R. Visina, Y. Bar-Shalom, P. Willett, D. Dey

Proceedings Volume 11018, 1101804 (2019) https://doi.org/10.1117/12.2519432

KEYWORDS: Error analysis, Information fusion, Matrices, Detection and tracking algorithms, Data fusion, Computing systems, Stochastic processes, Sensors, Process modeling, Switches

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Proceedings Article | 27 April 2018 Presentation + Paper

Localization of a point target from an optical sensor's focal plane array

Qin Lu, Yaakov Bar-Shalom, Peter Willett, Balakumar Balasingam

Proceedings Volume 10646, 1064607 (2018) https://doi.org/10.1117/12.2305098

KEYWORDS: Sensors, Signal to noise ratio, Point spread functions, Target detection, Monte Carlo methods, Optical sensors, Error analysis

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Proceedings Article | 27 April 2018 Presentation + Paper

Evaluation of optimizations of Murty's M-best assignment

Qin Lu, Wenbo Dou, Radu Visina, Krishna Pattipati, Yaakov Bar-Shalom, Peter Willett

Proceedings Volume 10646, 106460B (2018) https://doi.org/10.1117/12.2306486

KEYWORDS: Optimization (mathematics), Algorithm development, MATLAB

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Proceedings Article | 27 April 2018 Paper

CRLB for estimation of 3D sensor biases in spherical coordinates

Michael Kowalski, Djedjiga Belfadel, Yaakov Bar-Shalom, Peter Willett

Proceedings Volume 10646, 106461S (2018) https://doi.org/10.1117/12.2319069

KEYWORDS: Sensors, 3D acquisition, Error analysis, Filtering (signal processing), 3D modeling, Target recognition, Matrices

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Proceedings Article | 27 April 2018 Presentation + Paper

Trajectory estimation and impact point prediction of a ballistic object from a single fixed passive sensor

Kaipei Yang, Yaakov Bar-Shalom, Peter Willett, R. Ben-Dov, B. Milgrom

Proceedings Volume 10646, 1064609 (2018) https://doi.org/10.1117/12.2305114

KEYWORDS: Target acquisition, Motion estimation, Passive sensors, 3D acquisition, Sensors, Error analysis

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Proceedings Article | 2 May 2017 Presentation + Paper

Passive ranging using signal intensity observations from a single fixed sensor

Kaipei Yang, Yaakov Bar-Shalom, Peter Willett, Z. Freund, R. Ben-Dov

Proceedings Volume 10200, 1020004 (2017) https://doi.org/10.1117/12.2263793

KEYWORDS: Ranging, Sensors, Passive sensors, Motion estimation, Error analysis, Defense systems, Sensor networks, Statistical analysis, Probability theory, Monte Carlo methods, Motion measurement, Motion models, Filtering (signal processing), Signal processing

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Proceedings Article | 2 May 2017 Paper

Using ML-PDA and ML-PMHT to track two unresolved moving objects

Katherine Domrese, Peter Willett, Yaakov Bar-Shalom

Proceedings Volume 10200, 1020003 (2017) https://doi.org/10.1117/12.2264008

KEYWORDS: Signal to noise ratio, Data modeling, Personal digital assistants, Mathematical modeling, Error analysis, Performance modeling, Target detection, Detection and tracking algorithms, Probability theory, Optical sensors, Sensors, Motion models, Passive sensors

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Proceedings Article | 2 May 2017 Paper

Symmetrizing measurement equations for association-free multi-target tracking via point set distances

Uwe Hanebeck, Marcus Baum, Peter Willett

Proceedings Volume 10200, 1020006 (2017) https://doi.org/10.1117/12.2266988

KEYWORDS: Nonlinear filtering, Estimation theory, Distance measurement, Matrices, Electronic filtering, Systems modeling, Target detection, Statistical analysis, Particle filters, Linear filtering

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Proceedings Article | 2 May 2017 Presentation + Paper

Absolute space-based sensor registration using a single target of opportunity

Djedjiga Belfadel, Yaakov Bar-Shalom, Peter Willett

Proceedings Volume 10200, 1020009 (2017) https://doi.org/10.1117/12.2263760

KEYWORDS: Statistical analysis, Passive sensors, Satellites, Error analysis, Detection and tracking algorithms, Monte Carlo methods, Optical sensors, Motion models, Algorithm development, Sensors, Radar, Data processing

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Proceedings Article | 2 May 2017 Presentation + Paper

Tracking initially unresolved thrusting objects in 3D using a single stationary optical sensor

Qin Lu, Yaakov Bar-Shalom, Peter Willett, Karl Granström, R. Ben-Dov, B. Milgrom

Proceedings Volume 10200, 1020002 (2017) https://doi.org/10.1117/12.2262832

KEYWORDS: Optical sensors, Sensors, Process modeling, Motion models, Optical tracking, Particles, 3D modeling, 3D acquisition, Time metrology

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Proceedings Article | 2 May 2017 Paper

A bootstrapped PMHT with feature measurements and a new way to derive its information matrix

Qin Lu, Katherine Domrese, Peter Willett, Yaakov Bar-Shalom, Krishna Pattipati

Proceedings Volume 10200, 102001I (2017) https://doi.org/10.1117/12.2264347

KEYWORDS: Motion measurement, Motion models, Algorithm development, Matrices, Time metrology, Expectation maximization algorithms, Detection and tracking algorithms, Algorithms, Sensors, Feature extraction

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Proceedings Article | 2 May 2017 Presentation + Paper

State estimators for tracking sharply-maneuvering ground targets

Radu Visina, Yaakov Bar-Shalom, Peter Willett

Proceedings Volume 10200, 1020005 (2017) https://doi.org/10.1117/12.2262386

KEYWORDS: Filtering (signal processing), Kinematics, Monte Carlo methods, Switching, Detection and tracking algorithms, Computer simulations, Error analysis, Sensors, Systems modeling, Algorithm development, Process modeling

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Proceedings Article | 17 May 2016 Paper

Trackability: resolvability of two closely-spaced targets

Steven Schoenecker, Peter Willett, Yaakov Bar-Shalom

Proceedings Volume 9842, 984205 (2016) https://doi.org/10.1117/12.2223171

KEYWORDS: Computer engineering, Palladium, Target detection, Detection and tracking algorithms, Photodynamic therapy, Pulmonary function tests, Control systems, Target recognition, Solids, Convolution

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Proceedings Article | 17 May 2016 Paper

Multi-Bernoulli filtering for initially unresolved targets in clutter

Qin Lu, Karl Granström, Yaakov Bar-Shalom, Peter Willett

Proceedings Volume 9842, 98421J (2016) https://doi.org/10.1117/12.2229638

KEYWORDS: Optical testing, Optical resolution, Sensors, Particles, Target detection, Time metrology, Monte Carlo methods, Surveillance, Phase modulation, Detection and tracking algorithms

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Proceedings Article | 22 May 2015 Paper

A theoretical performance analysis of discrete data classification when fusing two features

Robert Lynch, Peter Willett

Proceedings Volume 9498, 949806 (2015) https://doi.org/10.1117/12.2180063

KEYWORDS: Data modeling, Quantization, Performance modeling, Algorithms, Error analysis, Algorithm development, Scientific classification systems, Information fusion, Electrochemical etching, Systems modeling

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