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Contact

Visit Nabil Aouf

C116, Tait Building

Postal Address

City, University of London
Northampton Square
London
EC1V 0HB
United Kingdom

About

Overview

Professor Nabil Aouf Holds a PhD (2002) on Robust Control for Aerospace Vehicles from the Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada. From January 2019, Nabil Joined City University of London as Professor of Robotics and Autonomous Systems. He leads the Robotics and Autonomous Vehicles capability and activities at City University of London. He has been a scientist for National Research Council Canada from 2002 to 2005 and he also was an Adjunct Assistant Professor with Concordia University, Canada.

He joined Cranfield University at School of Defence and Security as a Lecturer from January 2006 – 2010, then a Senior Lecturer from 2010 – 2013, then a Reader from 2013 and then became a full Professor of Autonomous Systems from 2016 to December 2018. Nabil Aouf built up, and led the Signal and Autonomy group at Cranfield University, Defence and Security (CDS), Defence Academy, Shrivenham, UK. He grew the group from 2 members to include up to 12 staff members. The group was one of the most of the research groups at Cranfield University including more than 20 fully funded PhD students at one moment in time. He contributed to the development of Cranfield University, his group and the school he was belonging to by securing industrial and governmental funding of more than £7.5M during his posts at Cranfield University. He was also the Research Lead of the Centre of Electronic Warfare, Information and Cyber including up to 40 staff members and he was a founding member of the CDS Research Forum which is defining CDS research strategy. He successfully graduated more than 18 PhD students at the national and international level.

Honours & Awards
• 1st Star MBDA Innovation Award for a collaborative research in 2017
• 1st Star MBDA Innovation Award for a collaborative research in 2015
• One of the Youngest Full Professor at Cranfield when promoted in 2016
• School Research Excellence Framework (REF) representative in the Cranfield University REF21 committee.
• Invited to deliver plenary presentations in UK and overseas, including Brazil and Germany.
• Editorial board member of four international journals including an IEEE Transactions.

Research Interests

The theory and application of Robotics, Autonomous Systems (Air, Ground, Space) Intelligence, and in particular:

• Navigation (Localization), Guidance (Path Planning) and Robust Control Systems Design for Single and Cooperative
Autonomous Vehicles (Robots)
• Perception through Signal, Image Processing and Computer Vision
• Heterogeneous Multi-Sensor Data Fusion
• Decision-Making through the Planning and re-Planning of Autonomous Systems Tasks
• Big Data Mining/Analysis/Recognition through Machine Learning techniques.
• VR/AR, Real Time and Embedded Systems

Clients Nabil worked (ing) with: EPSRC, H2020, Airbus, BAE Systems, MBDA, DSTL, DGA, Idiada, European Space Agency (ESA), Chemring Ltd, Thales, Thales Alenia Space, Sagem/Safran, InnovateUK, Spaceapps. General Dynamics.

Professional Standing and Services (Previous and Current)

1- International Journals as Editorial Committee Membership
* Associate Editor of the IEEE Transactions on Intelligent Vehicles
* Editorial Board of the Imaging Science Journal
* Associate Editor International Journal of Distributed Sensor Networks
* Associate Editor International Journal of Computational Intelligence in Control
* Journal Special Issue Organiser
* Principal Guest editor of the special issue on Airborne SLAM research problem for the Journal of Intelligent and Robotic Systems (Springer) 2009

2- Membership of Committees/Learned Societies
* Member of the Institute of Electrical and Electronic Engineers (IEEE) society.
* Member of the IEEE Computer & Robot Vision Technical Committee.
* Member of the IEEE Intelligent Transportation Systems Society.
* Member of Security Intech ‘Surveillance and Tracking Special Interest Group’
* Member of the Sensor and Instrumentation Knowledge Transfer Networking (KTN) Centre

3- Conference Organisation
* Member of the Program Technical Committee of IEEE International Conference on Intelligent Vehicles (IV18).
* Member of the Program Technical Committee of IEEE International Conference on Intelligent Vehicles (IV17).
* Member of the Program Technical Committee of IEEE International Conference on Control and Robotics Engineering (ICCRE), 2016.
* Member of the Program Technical Committee of European Signal Processing Conference (EUSIPCO), 2013.
* Member of the Program Technical Committee of European Signal Processing Conference (EUSIPCO), 2012.
* Member of the Program Technical Committee of European Conference for Aerospace Sciences (EUCASS), Symposium of "Flight Dynamics, GNC and Avionics", 2011.
* Member of the Program Technical Committee of European Signal Processing Conference (EUSIPCO), 2011.
* Member of the Program Technical Committee of European Signal Processing Conference (EUSIPCO), 2010.
* Member of the Program Technical Committee of European Signal Processing Conference (EUSIPCO), 2009.
* Member of the Program Technical Committee of the IEEE International Conference on Cybernetic Intelligent Systems, 2010.
* Session organizer on Unmanned Vehicle Applications in the IEEE International Conference on Cybernetic Intelligent Systems, 2009.
* Member of the Review Technical Committee of IEEE International Conference on Signal Processing and Communication, 2007.
* Technical program committee, International Congress on UAVs, Madrid November 2007.

Research

Research Interests

The theory and application of Robotics, Autonomous Systems (Air, Ground, Space) Intelligence, and in particular:
• Navigation (Localization), Guidance (Path Planning) and Robust Control Systems Design for Single and Cooperative
Autonomous Vehicles (Robots)
• Perception through Signal, Image Processing and Computer Vision
• Heterogeneous Multi-Sensor Data Fusion
• Decision-Making through the Planning and re-Planning of Autonomous Systems Tasks
• Big Data Mining/Analysis/Recognition through Machine Learning techniques.
• VR/AR, Real Time and Embedded Systems

Robotics, Autonomy and Machine Intelligence (RAMI)

The Robotics, Autonomy and Machine Intelligence (RAMI) Group led by Prof Nabil Aouf is dedicated to fulfill customer’s ambitious and innovative requirements. The group steadily establishes itself as a world leader in a range of applications from automatic sensing to processing and AI Autonomy for Data Processing, Robotics and Unmanned Vehicles to platforms Navigation/Control and Cyber Physical Systems.

Our Research Philosophy:
• To provide Intelligence to Robotics and Autonomous Systems (RAS)
• To provide low level (to mid level) TRL solutions originating from real world problems
• To concern application from Civilian to Defense

Applications of Interest: Not limited to:
• Space and Aerospace Autonomous Systems
• Digital Healthcare Technologies
• Industrial Autonomous Robotics (Construction, Manufacturing, Farming)
• Autonomy in Defense and Security Applications
• Mobility (including Autonomous Cars) and Smart Cities

Examples of what we do:

Navigation, Guidance and Control

1- VSLAM/Visual ( and LIDAR) Odometry Navigation
Extending the capability of RAS to navigate in unchartered or partially chartered territories without a GPS requirement. The techniques developed offer to the unmanned platform accurate self-localization and own 2D/3D Map creation by Visual, infrared, multispectral imagery or LIDAR returns. The architecture proposed in our work is extremely useful for GPS denied navigation, non-GPS covering areas i.e. indoor, tunnels, blind spots or even in more no-GPS extreme environments such as underwater and space.

2- Guidance (path Planning) and Control
Fully autonomous robots (all sorts) path planning within a congestive or unknown area can be very challenging. Our solution involves vision techniques to plan vehicles paths between to locations while avoiding static and dynamic obstacles by path adaptation. The suggested solutions we propose are fully passive and non-GPS based.

3- Autonomous Platforms Cooperation
Complex tasks are suitable to be carried by multiple autonomous vehicles or robots. Starting from two platforms to swarm of platforms, collaboration and cooperation are the must to develop to reach the required efficiency in dealing with the task(s) assigned. We provide solution through innovative research concepts linked to cooperative navigation, guidance and control either in centralized architecture or distributed architecture taking into account networks constraints and power management.

Sensor Fusion and AI for Enhanced Perception and Decision-Making Processes

1- AI based object/target detection, Recognition and Tracking
Perceiving the environment then interpreting it is crucial for autonomous agents (all robotics systems). Accurate detection and recognition of objects of interest within the perceived scene would help the subsequent task allocated for these agents. We develop based on deep Learning algorithms and other classical AI based techniques solutions that would segment the scene efficiently in 2D and/or 3D to provide an accurate understanding of the agent environment.

2- AI based VR/AR for Intelligent Teleoperation
Aiming at full autonomy of systems is great when possible but in a number of scenarios having the human operator kept in the loop is still the favored option. We develop intelligent teleoperation techniques so the operator has access, in an immersive manner, to the environment of operation through VR models that are augmented with real time sensory data in an AR framework. AI based techniques process the real time data provided to the operator and integrate object recognition schemes to help the operator assessing the scene and making, remotely, the best decisions.

3- AI based Decision-Making for Autonomous Systems
From perception, using multiple sensory data, to the fusion of the different data we collect about the scenario of interest appropriate AI based decisions of the deployed autonomous systems are inferred. We develop distributed and autonomous task allocation, planning and re-planning algorithms based on AI schemes considering dynamic scene perception for robotic autonomous systems. Comparison of those algorithms with classical optimization-based decision-making algorithms are of interest here.

4- Explainable AI for Autonomous Systems
The adoption of AI techniques for perception or for decision making of the Robotic Autonomous Systems opens a new era for those systems to reach their full level of autonomy. However, the validation and certification of these intelligent algorithms are still questionable. We develop deep learning model solutions breaking the opacity of the standard “Blackbox” deep learning networks to provide explanations of the decisions made by those algorithms. This type of models provides more assurance regarding the applicability of these AI based techniques to autonomous systems.

Potentially interested PhD candidates who are fully funded and other ones looking for funding are welcome to make contact. Visiting students and Fellows are also welcome.

Publications

Conference papers and proceedings (118)

  1. Rondao, D. and Aouf, N. (2018). Multi-View Monocular Pose Estimation for Spacecraft Relative Navigation. 2018 AIAA Guidance, Navigation, and Control Conference.
  2. Camarena, M.E., Feetham, L.M., Scannapieco, A.F. and Aouf, N. (2018). FPGA-based multi-sensor relative navigation in space: Preliminary analysis in the framework of the I3DS H2020 project.
  3. Rondao, D., Aouf, N. and Dubois-Matra, O. (2018). Multispectral image processing for navigation using low performance computing.
  4. Scannapieco, A.F., Feetham, L.M., Camarena, M.E. and Aouf, N. (2018). Space-oriented Navigation Solutions with Integrated Sensor-Suite: The I3DS H2020 project.
  5. Viana, I.B. and Aouf, N. (2018). Distributed Cooperative Path-Planning for Autonomous Vehicles Integrating Human Driver Trajectories.
  6. Yilmaz, O., Aouf, N., Majewski, L., Sanchez-Gestido, M. and Ortega, G. (2017). Using infrared based relative navigation for active debris removal. 10th International ESA Conference on Guidance, Navigation & Control Systems 29 May 2017 – 2 Jun 2017, Salzburg, Austria.
  7. Beauvisage, A. and Aouf, N. (2017). Multimodal visual-inertial odometry for navigation in cold and low contrast environment.
  8. Kechagias-Stamatis, O., Aouf, N. and Chermak, L. (2017). B-HoD: A lightweight and fast binary descriptor for 3D object recognition and registration.
  9. Wieszok, Z., Aouf, N., Kechagias-Stamatis, O. and Chermak, L. (2017). Stixel based scene understanding for autonomous vehicles.
  10. Nam, D. and Aouf, N. (2017). Automated mosaicing for improving vehicle situational awareness in real time.
  11. Ruiz, J.A.D. and Aouf, N. (2017). Unscented kalman filter for vision based target localisation with a quadrotor.
  12. Ruiz, J.A.D. and Aouf, N. (2017). Real-time setup with PD and backstepping control for a Pelican quadrotor.
  13. Beauvisage, A., Aouf, N. and Courtois, H. (2017). Multi-spectral visual odometry for unmanned air vehicles.
  14. Belloni, C., Aouf, N., Merlet, T. and Le Caillec, J.M. (2017). SAR image segmentation with GMMs.
  15. Kechagias-Stamatis, O., Aouf, N. and Belloni, C. (2017). SAR automatic target recognition based on convolutional neural networks.
  16. Issartel, M., Gueriot, D., Aouf, N. and Le Caillec, J.M. (2017). Robust SLAM for side scan sonar image mosaicking.
  17. Junoh, S. and Aouf, N. (2017). Person classification leveraging Convolutional Neural Network for obstacle avoidance via Unmanned Aerial Vehicles.
  18. Courtois, H. and Aouf, N. (2017). Fusion of stereo and Lidar data for dense depth map computation.
  19. Kechagias-Stamatis, O., Aouf, N. and Nam, D. (2017). 3D Automatic Target Recognition for UAV Platforms.
  20. Kechagias-Stamatis, O., Aouf, N. and Nam, D. (2017). Multi-Modal Automatic Target Recognition for Anti-Ship Missiles with Imaging Infrared Capabilities.
  21. Beauvisage, A. and Aouf, N. (2017). Low cost and low power multispectral thermal-visible calibration.
  22. Belloni, C., Balleri, A., Aouf, N., Merlet, T. and Le Caillec, J.M. (2017). SAR image dataset of military ground targets with multiple poses for ATR.
  23. Courtois, H. and Aouf, N. (2017). Haptic feedback for obstacle avoidance applied to unmanned aerial vehicles.
  24. Kechagias-Stamatis, O., Aouf, N., Nam, D. and Belloni, C. (2017). Automatic X-ray image segmentation and clustering for threat detection.
  25. Bergé, L.P., Aouf, N., Duval, T. and Coppin, G. (2017). Generation and VR visualization of 3D point clouds for drone target validation assisted by an operator.
  26. Beauvisage, A., Aouf, N. and IEEE, (2017). Low Cost And Low Power Multispectral Thermal-Visible Calibration.
  27. Kechagias-Stamatis, O., Aouf, N., Nam, D. and IEEE, (2017). Multi-modal Automatic Target Recognition for Anti-ship Missiles with Imaging Infrared Capabilities.
  28. Kechagias-Stamatis, O., Aouf, N., Nam, D. and IEEE, (2017). 3D Automatic Target Recognition for UAV Platforms.
  29. Bergé, L.P., Aouf, N., Duval, T. and Coppin, G. (2016). Visualization of 3D point clouds sensed by a laser: Effect of stereo and head tracking rendering on a target research task.
  30. Kechagias-Stamatis, O. and Aouf, N. (2016). Histogram of distances for local surface description.
  31. Feetham, L., Aouf, N., Dubois-Matra, O. and Bourdarias, C. (2016). Image datasets for autonomous planetary landing algorithm development.
  32. Almutairi, S.H. and Aouf, N. (2016). Enhancing the aircraft's stability and controllability against actuator faults using robust flight control.
  33. Almutairi, S.H. and Aouf, N. (2015). Aircraft robust flight tracking control against actuator efficiency faults.
  34. Kemouche, A. and Aouf, N. (2015). Automatic speech recognition enhancement using adaptive GMM estimation.
  35. Stamatis, O.K. and Aouf, N. (2015). Fast 3D object matching with Projection Density Energy.
  36. Djamaa, B., Richardson, M., Aouf, N. and Walters, B. (2014). Unicast/multicast performance in single-hop duty-cycled 6LoWPAN networks.
  37. Boulekchour, M. and Aouf, N. (2014). Efficient real-time loop closure detection using GMM and tree structure.
  38. Almutairi, S.H. and Aouf, N. (2014). Fault tolerant flight control design against actuator impairments using optimal control and fault compensation.
  39. Djamaa, B., Richardson, M., Aouf, N. and Walters, B. (2014). Service discovery in 6LoWPANs: Classification and challenges.
  40. Vitanov, I. and Aouf, N. (2014). Fault diagnosis for MEMS INS using unscented Kalman filter enhanced by Gaussian process adaptation.
  41. Azzam, R. and Aouf, N. (2014). Visual information to enhance time difference of arrival based acoustic localization.
  42. Mouats, T. and Aouf, N. (2014). Fusion of thermal and visible images for day/night moving objects detection.
  43. Vitanov, I. and Aouf, N. (2014). Fault detection and isolation in an inertial navigation system using a bank of unscented H∞ filters.
  44. Araar, O. and Aouf, N. (2014). Full linear control of a quadrotor UAV, LQ vs H∞.
  45. Araar, O. and Aouf, N. (2014). Quadrotor control for trajectory tracking in presence of wind disturbances.
  46. Vitanov, I. and Aouf, N. (2014). Fault diagnosis and recovery in MEMS inertial navigation system using information filters and Gaussian processes.
  47. Araar, O. and Aouf, N. (2014). A new hybrid approach for the visual servoing of VTOL UAVs from unknown geometries.
  48. Araar, O. and Aouf, N. (2014). Visual servoing of a Quadrotor UAV for autonomous power lines inspection.
  49. Boulekchour, M. and Aouf, N. (2014). Robust motion estimation using covariance intersection.
  50. Amamra, A., Mouats, T. and Aouf, N. (2014). GPU based GMM segmentation of kinect data.
  51. Amamra, A. and Aouf, N. (2014). RGBD sensors correction with Gaussian process regression.
  52. Azzam, R. and Aouf, N. (2014). Embeded fusion of visual and acoustic for active acoustic source detection with SGGMM.
  53. Mouats, T. and Aouf, N. (2014). Robust feature matching for aerial visual odometry.
  54. Azzam, R. and Aouf, N. (2014). Non parametric tool for vision detection analysis.
  55. Mouats, T. and Aouf, N. (2014). Foreground segmentation based on thermo-visible fusion.
  56. Almutairi, S.H. and Aouf, N. (2014). Design and non-linear simulations of a Fault-Tolerant Flight Control.
  57. Amamra, A. and Aouf, N. (2013). Real-time robust tracking with commodity RGBD camera.
  58. Imran, S.A. and Aouf, N. (2013). A robust two signature descriptor with orientation bins and colour codes for enhanced feature matching.
  59. Li, X. and Aouf, N. (2013). Experimental research on cooperative vSLAM for UAVs.
  60. Mills, S., Aouf, N. and Mejias, L. (2013). Image Based Visual Servo control for Fixed Wing UAVs tracking linear infrastructure in wind.
  61. Amamra, A. and Aouf, N. (2013). Robust and sparse RGBD data registration of scene views.
  62. Azzam, R. and Aouf, N. (2013). Acoustic detection and localization enhanced by video analysis.
  63. Imran, S.A., Aouf, N. and Richardson, M. (2013). Photo-geometric registration via a coupled L∞ filter.
  64. Araar, O. and Aouf, N. (2013). Visual servoing of a quadrotor UAV for the tracking of linear structured infrastructures.
  65. Imran, S.A. and Aouf, N. (2013). Bundle adjustment and Kalman filtering for homography estimation.
  66. Mouats, T. and Aouf, N. (2013). Multimodal stereo correspondence based on phase congruency and edge histogram descriptor.
  67. Mouats, T. and Aouf, N. (2013). Cross-spectral stereo matching based on local self-similarities and image moments.
  68. Boulekchour, M. and Aouf, N. (2013). L ∞ Norm Based Solution for Visual Odometry.
  69. Azzam, R. and Aouf, N. (2013). The Gaussian processes for acoustic localisation and tracking in wireless sensor network.
  70. Djamaa, B., Aouf, N., Richardson, M. and Walters, B. (2013). Enhancing delay-based packet forwarding schemes in Wireless Sensor Networks.
  71. Boulekchour, M. and Aouf, N. (2013). L∞ norm based solution for visual odometry.
  72. Rodriguez, D. and Aouf, N. (2012). Robust egomotion for large-scale trajectories.
  73. Nemra, A., Aouf, N., Dhaifellah, A. and Tamazouzt, H. (2012). Robust Cooperative Visual SLAM with textures plating.
  74. Li, X. and Aouf, N. (2012). Cooperative vSLAM based on UAV application.
  75. Li, X., Aouf, N. and Nemra, A. (2012). Estimation analysis in VSLAM for UAV application.
  76. Chermak, L. and Aouf, N. (2012). A Minimax solution for stereo based motion estimation.
  77. Chermak, L. and Aouf, N. (2012). Enhanced feature detection and matching under extreme illumination conditions with a HDR imaging sensor.
  78. Li, X. and Aouf, N. (2012). SIFT and SURF feature analysis in visible and infrared imaging for UAVs.
  79. Li, X., Aouf, N. and Nemra, A. (2012). 3D mapping based VSLAM for UAVs.
  80. Morsly, Y., Aouf, N. and Djouadi, M.S. (2012). Dynamic decentralized/centralized free conflict UAV's team allocation.
  81. Gray, G.J., Aouf, N., Richardson, M.A., Butters, B. and Walmsley, R. (2012). An intelligent tracking algorithm for an imaging infrared anti-ship missile. SPIE Security + Defence.
  82. Imran, S.A. and Aouf, N. (2011). A recursive least squares solution for recovering robust planar homographies.
  83. Gray, G.J., Aouf, N., Richardson, M.A., Butters, B., Walmsley, R. and Nicholls, E. (2011). Feature based tracking algorithms for imaging infrared anti-ship missiles.
  84. Nemra, A. and Aouf, N. (2011). Adaptive decentralised cooperative vision based simultaneous localization and mapping for multiple UAV.
  85. Morsly, Y., Djouadi, M.S. and Aouf, N. (2010). On the best interceptor placement for an optimally deployed visual sensor network.
  86. Kemouche, M.S. and Aouf, N. (2010). A GMM approximation with merge and split for nonlinear non-Gaussian tracking.
  87. Shah, M.A., Tsourdos, A., Silson, P.M.G., James, D. and Aouf, N. (2010). Obstacles avoidance in the frame work of pythagorean hodograph based path planning.
  88. Shah, M.A., Tsourdos, A., James, D. and Aouf, N. (2010). On the definition of Curve's frame at the points of inflection.
  89. Shah, M.A. and Aouf, N. (2010). 3D cooperative pythagorean hodograph path planning and obstacle avoidance for multiple UAVs.
  90. Kharbat, M. and Aouf, N. (2010). Variational model for robust computation of optical flow under varying illumination.
  91. Nemra, A. and Aouf, N. (2010). Robust cooperative UAV Visual SLAM.
  92. Rodríguez, D. and Aouf, N. (2010). Robust Harris-SURF features for robotic vision based navigation.
  93. Nemra, A. and Aouf, N. (2009). Robust feature extraction and correspondence for UAV map building. 2009 17th Mediterranean Conference on Control and Automation (MED) 24-26 June.
  94. Morsly, Y., Aouf, N. and Djouadi, M.S. (2009). On the optimal placement of multiple visual sensor based binary particle swarm optimization.
  95. Nemra, A. and Aouf, N. (2009). Robust invariant automatic image mosaicing and super resolution for UAV mapping.
  96. Shah, M.A. and Aouf, N. (2009). Dynamic cooperative perception and path planning for collision avoidance.
  97. Kemouche, M.S. and Aouf, N. (2009). A Gaussian mixture based optical flow modeling for object detection.
  98. Kemouche, M.S. and Aouf, N. (2008). A GMM-based multitarget tracking algorithm and analysis.
  99. Kharbat, M., Aouf, N., Tsourdos, A. and White, B. (2008). Robust brightness description for computing optical flow.
  100. Abdelkrim, N., Aouf, N., Tsourdos, A., White, B. and IEEE, (2008). Robust nonlinear filtering for INS/GPS UAV localization.
  101. Abdelkrim, N., Aouf, N., Tsourdos, A. and White, B. (2008). Robust nonlinear filtering for INS/GPS UAV localization.
  102. Kharbat, M., Aouf, N., Tsourdos, A. and White, B. (2007). Sphere detection and tracking for a space capturing operation.
  103. Lazarus, S.B., Tsourdos, A., Aouf, N., Zbikowski, R. and White, B.A. (2007). Autonomous aerial vehicle localisation and mapping.
  104. Aouf, N., Sazdovski, V., Tsourdos, A. and White, B.A. (2007). Low altitude airborne SLAM with INS aided vision system.
  105. Kemouche, M.S., Aouf, N., Tsourdos, A. and White, B. (2007). A hybrid Kalman/γH∞ filter for maneuvering target tracking.
  106. Aouf, N., Rajabi, H., Rajabi, N., Alanbari, H. and Perron, C. (2004). Visual object tracking by a camera mounted on a 6DOF industrial robot.
  107. Moore, B., Boulet, B., Aouf, N., Girard, P. and DiRaddo, R. (2003). Multivariable H-infinity control of the thermoforming reheat process.
  108. Aouf, N., Rabbath, C.A. and Lauzon, M. (2003). Simple fuzzy control structure for a lateral missile control problem.
  109. Aouf, N. and Boulet, B. (2003). Fault diagnosis techniques: Application to the thermoforming process.
  110. Rabbath, O.A., Aouf, N. and Lauzon, M. (2003). Digital redesign of missile autopilots using a polynomial method.
  111. Aouf, N., Boulet, B. and Botez, R. (2002). A gain scheduling approach for a flexible aircraft.
  112. Aouf, N. and Bates, D. (2002). Scheduling of a partitioned IFPC design for a VSTOL aircraft.
  113. Turner, M.C., Aouf, N., Bates, D.G., Postlethwaite, I. and Boulet, B. (2002). A switching scheme for full-envelope control of a V/STOL aircraft using LQ bumpless transfer.
  114. Aouf, N. and Boulet, B. (2001). Uncertainty models and robust complex-rational controller design for flexible structures.
  115. Aouf, N., Bates, D.G. and Postlethwaite, I. (2001). Observer-form scheduling of a H∞ loopshaping integrated flight and propulsion control law.
  116. Aouf, N., Boulet, B. and Botez, R. (2001). Model and controller reduction for flexible aircraft preserving robust performance.
  117. Aouf, N., Boulet, B., Botez, R., AACC, , AACC, and AACC, (2000). H-2 and H infinity-optimal gust load alleviation for a flexible aircraft.
  118. Aouf, N., Boulet, B. and Botez, R. (2000). H2 and H∞-optimal gust load alleviation for a flexible aircraft.

Journal articles (57)

  1. Chermak, L., Aouf, N., Richardson, M. and Visentin, G. (2019). Real-time smart and standalone vision/IMU navigation sensor. Journal of Real-Time Image Processing, 16(4), pp. 1189–1205. doi:10.1007/s11554-016-0613-z.
  2. Kechagias-Stamatis, O., Aouf, N. and Richardson, M.A. (2019). High-speed multi-dimensional relative navigation for uncooperative space objects. Acta Astronautica, 160, pp. 388–400. doi:10.1016/j.actaastro.2019.04.050.
  3. Kechagias-Stamatis, O. and Aouf, N. (2019). Fusing Deep Learning and Sparse Coding for SAR ATR. IEEE Transactions on Aerospace and Electronic Systems, 55(2), pp. 785–797. doi:10.1109/TAES.2018.2864809.
  4. Yılmaz, Ö., Aouf, N., Checa, E., Majewski, L. and Sanchez-Gestido, M. (2019). Thermal analysis of space debris for infrared-based active debris removal. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 233(3), pp. 811–822. doi:10.1177/0954410017740917.
  5. Kechagias-Stamatis, O. and Aouf, N. (2019). H∞ LIDAR odometry for spacecraft relative navigation. IET Radar, Sonar and Navigation, 13(5), pp. 1–6. doi:10.1049/iet-rsn.2018.5354.
  6. Kechagias-Stamatis, O., Aouf, N. and Dubanchet, V. (2019). Evaluating 3D local descriptors and recursive filtering schemes for LIDAR-based uncooperative relative space navigation. Journal of Field Robotics. doi:10.1002/rob.21904.
  7. Mouats, T., Aouf, N., Nam, D. and Vidas, S. (2018). Performance Evaluation of Feature Detectors and Descriptors Beyond the Visible. Journal of Intelligent and Robotic Systems: Theory and Applications, 92(1), pp. 33–63. doi:10.1007/s10846-017-0762-8.
  8. Kechagias-Stamatis, O. and Aouf, N. (2018). A New Passive 3-D Automatic Target Recognition Architecture for Aerial Platforms. IEEE Transactions on Geoscience and Remote Sensing, 57(1), pp. 406–415. doi:10.1109/TGRS.2018.2855065.
  9. Isakhani, H., Aouf, N., Kechagias-Stamatis, O. and Whidborne, J.F. (2018). A Furcated Visual Collision Avoidance System for an Autonomous Micro Robot. IEEE Transactions on Cognitive and Developmental Systems. doi:10.1109/TCDS.2018.2858742.
  10. Amamra, A. and Aouf, N. (2018). GPU-based real-time RGBD data filtering. Journal of Real-Time Image Processing, 14(2), pp. 323–340. doi:10.1007/s11554-014-0453-7.
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