Dr. Maarten Uijt de Haag Profile

Dr. Maarten Uijt de Haag

Associate Professor at Ohio Univ

SPIE Involvement:

Author | Instructor

Proceedings Article | 4 June 2013 Paper

Testing a collision avoidance display with high-precision navigation

Niklas Peinecke, Maarten Uijt de Haag, Frederik Meysel, Pengfei Duan, Rene Küppers, Bram Beernink

Proceedings Volume 8736, 873609 (2013) https://doi.org/10.1117/12.2015921

KEYWORDS: Collision avoidance, Global Positioning System, Satellite navigation systems, Data acquisition, Data communications, Receivers, Visualization, Neodymium, Ions, Satellites

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Proceedings Article | 7 May 2010 Paper

Surveillance for collision avoidance with integrity using raw measurements in the automatic dependent surveillance-broadcast

Sudha Vana, Maarten Uijt de Haag

Proceedings Volume 7689, 76890D (2010) https://doi.org/10.1117/12.853500

KEYWORDS: Surveillance, Global Positioning System, Satellites, Data modeling, Receivers, Clocks, Collision avoidance, Safety, Radar, Fourier transforms

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Proceedings Article | 6 May 2010 Paper

Evaluation of hazard and integrity monitor functions for integrated alerting and notification using a sensor simulation framework

Rajesh Bezawada, Maarten Uijt de Haag

Proceedings Volume 7689, 76890F (2010) https://doi.org/10.1117/12.853499

KEYWORDS: Sensors, Filtering (signal processing), Data modeling, Integration, Mathematical modeling, Logic, Data communications, Safety, Systems modeling, Monte Carlo methods

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Proceedings Article | 4 May 2010 Paper

Flight test and simulation results of an integrated dual airborne laser scanner (DALS)/INS navigator

Ananth Vadlamani, Maarten Uijt de Haag

Proceedings Volume 7684, 768418 (2010) https://doi.org/10.1117/12.853501

KEYWORDS: Error analysis, Sensors, Navigation systems, Global Positioning System, Laser scanners, Calibration, Optical simulations, Vegetation, Databases, Spatial filters

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Proceedings Article | 9 May 2009 Paper

Integration of 3D and 2D imaging data for assured navigation in unknown environments: initial steps

Evan Dill, Maarten Uijt de Haag

Proceedings Volume 7323, 732307 (2009) https://doi.org/10.1117/12.821878

KEYWORDS: 3D image processing, Sensors, 3D metrology, Image segmentation, LIDAR, Clouds, Cameras, Image sensors, Algorithm development, Error analysis

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Proceedings Article | 7 May 2009 Paper

Integration of forward-looking infrared (FLIR) and traffic information for moving obstacle detection with integrity

Zhen Zhu, Sudha Vana, Sumit Bhattacharya, Maarten Uijt de Haag

Proceedings Volume 7328, 73280H (2009) https://doi.org/10.1117/12.821856

KEYWORDS: Forward looking infrared, Cameras, Target detection, Calibration, Global Positioning System, Infrared imaging, Surveillance, Information fusion, Blob detection, Thermography

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Proceedings Article | 1 May 2009 Paper

A sensor simulation framework for the testing and evaluation of external hazard monitors and integrated alerting and notification functions

Maarten Uijt de Haag, Kyle Venable, Rajesh Bezawada, Tony Adami, Ananth Vadlamani

Proceedings Volume 7328, 732802 (2009) https://doi.org/10.1117/12.821854

KEYWORDS: Sensors, Data modeling, Radar, Human-machine interfaces, Monte Carlo methods, Environmental sensing, Integration, Simulink, 3D modeling, Forward looking infrared

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Proceedings Article | 15 April 2008 Paper

Sensor classification and obstacle detection for aircraft external hazard monitoring

Mark Smearcheck, Ananth Vadlamani, Maarten Uijt de Haag

Proceedings Volume 6957, 69570F (2008) https://doi.org/10.1117/12.784524

KEYWORDS: Sensors, Safety, Data modeling, Cameras, Radar, Visual process modeling, Forward looking infrared, Laser scanners, Telecommunications, Reflectivity

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Proceedings Article | 17 March 2008 Paper

Near real-time extraction of planar features from 3D flash-ladar video frames

Don Venable, Maarten Uijt de Haag

Proceedings Volume 6977, 69770N (2008) https://doi.org/10.1117/12.777789

KEYWORDS: Feature extraction, Cameras, Sensors, LIDAR, 3D image processing, Error analysis, Image sensors, Stereoscopy, Video, 3D metrology

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Proceedings Article | 4 May 2007 Paper

Use of 3D laser radar for navigation of unmanned aerial and ground vehicles in urban and indoor environments

Maarten Uijt de Haag, Don Venable, Mark Smearcheck

Proceedings Volume 6550, 65500C (2007) https://doi.org/10.1117/12.718947

KEYWORDS: LIDAR, Image sensors, Sensors, Cameras, Feature extraction, Environmental sensing, 3D image processing, Stereoscopy, 3D metrology, Global Positioning System

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This paper discusses the integration of Inertial measurements with measurements from a three-dimensional (3D) imaging sensor for position and attitude determination of unmanned aerial vehicles (UAV) and autonomous ground vehicles (AGV) in urban or indoor environments. To enable operation of UAVs and AGVs at any time in any environment a Precision Navigation, Attitude, and Time (PNAT) capability is required that is robust and not solely dependent on the Global Positioning System (GPS). In urban and indoor environments a GPS position capability may not only be unavailable due to shadowing, significant signal attenuation or multipath, but also due to intentional denial or deception. Although deep integration of GPS and Inertial Measurement Unit (IMU) data may prove to be a viable solution an alternative method is being discussed in this paper. The alternative solution is based on 3D imaging sensor technologies such as Flash Ladar (Laser Radar). Flash Ladar technology consists of a modulated laser emitter coupled with a focal plane array detector and the required optics. Like a conventional camera this sensor creates an "image" of the environment, but producing a 2D image where each pixel has associated intensity vales the flash Ladar generates an image where each pixel has an associated range and intensity value. Integration of flash Ladar with the attitude from the IMU allows creation of a 3-D scene. Current low-cost Flash Ladar technology is capable of greater than 100 x 100 pixel resolution with 5 mm depth resolution at a 30 Hz frame rate. The proposed algorithm first converts the 3D imaging sensor measurements to a point cloud of the 3D, next, significant environmental features such as planar features (walls), line features or point features (corners) are extracted and associated from one 3D imaging sensor frame to the next. Finally, characteristics of these features such as the normal or direction vectors are used to compute the platform position and attitude changes. These "delta" position and attitudes are then used calibrate the IMU. Note, that the IMU is not only required to form the point cloud of the environment expressed in the navigation frame, but also to perform association of the features from one flash Ladar frame to the next. This paper will discuss the performance of the proposed 3D imaging sensor feature extraction, position change estimator and attitude change estimator using both simulator data and data collected from a moving platform in an indoor environment. The former consists of data from a simulated IMU and flash Ladar installed on an aerial vehicle for various trajectories through an urban environment. The latter consists of measurements from a CSEM Swissranger 3D imaging sensor and a MicroStrain low-cost IMU. Data was collected on a manually operated aerial vehicle inside the Ohio University School of Electrical Engineering and Computer Science building.

Proceedings Article | 4 May 2007 Paper

Aerial vehicle navigation over unknown terrain environments using inertial measurements and dual airborne laser scanners or flash LADAR

Ananth Vadlamani, Maarten Uijt de Haag

Proceedings Volume 6550, 65500B (2007) https://doi.org/10.1117/12.718946

KEYWORDS: Sensors, Airborne laser technology, LIDAR, Global Positioning System, 3D modeling, Error analysis, Databases, Navigation systems, Laser scanners, Pulsed laser operation

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Proceedings Article | 27 April 2007 Paper

Use of X-band weather radar to support the terrain database integrity monitoring and terrain referenced navigation function

Abhijeet Singh, Maarten Uijt de Haag

Proceedings Volume 6559, 655909 (2007) https://doi.org/10.1117/12.725075

KEYWORDS: Radar, Databases, Feature extraction, Sensors, Antennas, Global Positioning System, X band, Electroluminescence, Data modeling, Systems modeling

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Proceedings Article | 25 May 2005 Paper

Integration of a synthetic vision system with airborne laser range scanner-based terrain referenced navigation for precision approach guidance

Maarten Uijt de Haag, Jacob Campbell, Frank van Graas

Proceedings Volume 5802, (2005) https://doi.org/10.1117/12.611375

KEYWORDS: Navigation systems, Databases, Global Positioning System, Synthetic vision, Laser scanners, Error analysis, Sensors, LIDAR, Fourier transforms, Visualization

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Synthetic Vision Systems (SVS) provide pilots with a virtual visual depiction of the external environment. When using SVS for aircraft precision approach guidance systems accurate positioning relative to the runway with a high level of integrity is required. Precision approach guidance systems in use today require ground-based electronic navigation components with at least one installation at each airport, and in many cases multiple installations to service approaches to all qualifying runways. A terrain-referenced approach guidance system is envisioned to provide precision guidance to an aircraft without the use of ground-based electronic navigation components installed at the airport. This autonomy makes it a good candidate for integration with an SVS. At the Ohio University Avionics Engineering Center (AEC), work has been underway in the development of such a terrain referenced navigation system. When used in conjunction with an Inertial Measurement Unit (IMU) and a high accuracy/resolution terrain database, this terrain referenced navigation system can provide navigation and guidance information to the pilot on a SVS or conventional instruments. The terrain referenced navigation system, under development at AEC, operates on similar principles as other terrain navigation systems: a ground sensing sensor (in this case an airborne laser scanner) gathers range measurements to the terrain; this data is then matched in some fashion with an onboard terrain database to find the most likely position solution and used to update an inertial sensor-based navigator. AEC's system design differs from today's common terrain navigators in its use of a high resolution terrain database (~1 meter post spacing) in conjunction with an airborne laser scanner which is capable of providing tens of thousands independent terrain elevation measurements per second with centimeter-level accuracies. When combined with data from an inertial navigator the high resolution terrain database and laser scanner system is capable of providing near meter-level horizontal and vertical position estimates. Furthermore, the system under development capitalizes on 1) The position and integrity benefits provided by the Wide Area Augmentation System (WAAS) to reduce the initial search space size and; 2) The availability of high accuracy/resolution databases. This paper presents results from flight tests where the terrain reference navigator is used to provide guidance cues for a precision approach.

Proceedings Article | 11 August 2004 Paper

An X-band radar terrain feature detection method for low-altitude SVS operations and calibration using LiDAR

Steven Young, Maarten Uijt de Haag, Jacob Campbell

Proceedings Volume 5424, (2004) https://doi.org/10.1117/12.542452

KEYWORDS: Radar, Calibration, Antennas, Error analysis, Sensors, X band, Reflectivity, Global Positioning System, Feature extraction, LIDAR

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Proceedings Article | 23 September 2003 Paper

Using X-band weather radar measurements to monitor the integrity of digital elevation models for synthetic vision systems

Steven Young, Maarten Uijt de Haag, Jonathon Sayre

Proceedings Volume 5081, (2003) https://doi.org/10.1117/12.489000

KEYWORDS: Radar, Sensors, Antennas, X band, Prototyping, Synthetic vision, LCDs, Reflectivity, Databases, Error analysis

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Proceedings Article | 16 July 2002 Paper

DEM integrity monitor experiment (DIME) flight test results

Maarten Uijt de Haag, Steve Young, Jonathon Sayre, Jacob Campbell, Ananth Vadlamani

Proceedings Volume 4713, (2002) https://doi.org/10.1117/12.474434

KEYWORDS: Radar, Databases, Heads up displays, Sensors, Spatial resolution, Global Positioning System, Safety, Data processing, Human-machine interfaces, Synthetic vision

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Proceedings Article | 28 August 2001 Paper

Flight test results of a synthetic-vision elevation database integrity monitor

Maarten Uijt de Haag, Jonathon Sayre, Jacob Campbell, Steve Young, Robert Gray

Proceedings Volume 4363, (2001) https://doi.org/10.1117/12.438016

KEYWORDS: Radar, Databases, Sensors, Heads up displays, Spatial resolution, Prototyping, Synthetic vision, Error analysis, Global Positioning System, Data modeling

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Proceedings Article | 3 March 2000 Paper

Edge-supressed color clustering for image thresholding

Mehmet Celenk, Maarten Uijt de Haag

Proceedings Volume 3961, (2000) https://doi.org/10.1117/12.379385

KEYWORDS: Image segmentation, Image processing algorithms and systems, Algorithm development, Image filtering, Edge detection, 3D image processing, Optical tracking, Image processing, Linear filtering, Detection and tracking algorithms

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Proceedings Article | 6 April 1998 Paper

Optimal thresholding for color images

Mehmet Celenk, Maarten Uijt de Haag

Proceedings Volume 3304, (1998) https://doi.org/10.1117/12.304605

KEYWORDS: Image segmentation, Binary data, Logic, Image enhancement, 3D acquisition, 3D image processing, Image processing, Target detection, Logic devices, Color image processing

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Showing 5 of 19 publications

SPIE Conference Volume | 30 April 2009

Enhanced and Synthetic Vision 2009

SPIE Conference Volume | 20 May 2008

Enhanced and Synthetic Vision 2008

Conference Committee Involvement (6)

Degraded Visual Environments: Enhanced, Synthetic, and External Vision Solutions 2013

2 May 2013 | Baltimore, Maryland, United States

Enhanced and Synthetic Vision 2011

26 April 2011 | Orlando, Florida, United States

Enhanced and Synthetic Vision 2010

6 April 2010 | Orlando, Florida, United States

Enhanced and Synthetic Vision 2009

14 April 2009 | Orlando, Florida, United States

Enhanced and Synthetic Vision 2008

19 March 2008 | Orlando, Florida, United States

Showing 5 of 6 Conference Committees

Course Instructor

SC549: Incorporating GPS Technology into Commercial and Military Applications

The Global Positioning System (GPS) has evolved from its military roots to an ideal example of dual-use technology. This course briefly describes the GPS theory and the state of art in GPS technology. The issues involved in incorporating GPS in various commercial and military applications will be highlighted and various technologies will be illustrated using case studies.

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