Salah Sukkarieh mainly focuses on Artificial intelligence, Computer vision, Inertial measurement unit, Inertial navigation system and Simultaneous localization and mapping. As part of his studies on Artificial intelligence, Salah Sukkarieh often connects relevant subjects like Machine learning. The Computer vision study combines topics in areas such as Robot, Terrain and Bearing.
The various areas that Salah Sukkarieh examines in his Inertial measurement unit study include Kalman filter, Observability, Control engineering and Monocular vision. The concepts of his Inertial navigation system study are interwoven with issues in Real-time computing, Navigation system, Simulation and Sensor fusion. His study in Simultaneous localization and mapping is interdisciplinary in nature, drawing from both Distributed computing and Flight test.
His primary areas of study are Artificial intelligence, Computer vision, Motion planning, Real-time computing and Robot. His Artificial intelligence study incorporates themes from Machine learning, Terrain and Pattern recognition. His Computer vision study combines topics from a wide range of disciplines, such as Remotely operated underwater vehicle and Inertial navigation system.
The study incorporates disciplines such as Kalman filter, Control theory and Navigation system in addition to Inertial navigation system. Salah Sukkarieh interconnects Simulation and Sensor fusion in the investigation of issues within Real-time computing. His study deals with a combination of Inertial frame of reference and Inertial measurement unit.
Salah Sukkarieh spends much of his time researching Artificial intelligence, Robot, Robotics, Motion planning and Control theory. His work deals with themes such as Monte Carlo tree search, Machine learning, Field and Computer vision, which intersect with Artificial intelligence. Salah Sukkarieh has researched Computer vision in several fields, including Sampling, Resolution, Data set and Multimodal data.
His study looks at the relationship between Robot and fields such as Terrain, as well as how they intersect with chemical problems. In his study, which falls under the umbrella issue of Motion planning, Planner is strongly linked to Motion control. His studies in Control theory integrate themes in fields like Slip, Estimator, Work and Mathematical model.
Salah Sukkarieh mostly deals with Artificial intelligence, Robot, Control theory, Estimator and Computer vision. His research in Artificial intelligence intersects with topics in Machine learning and Pattern recognition. His Robot study also includes fields such as
As part of the same scientific family, Salah Sukkarieh usually focuses on Control theory, concentrating on Slip and intersecting with Mobile robot, Estimation theory, Control and Compensation. The Estimator study combines topics in areas such as Estimation, Moving horizon estimation and Quadratic cost. The concepts of his Computer vision study are interwoven with issues in Sampling, Data set, Resolution and Multimodal data.
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A high integrity IMU/GPS navigation loop for autonomous land vehicle applications
S. Sukkarieh;E.M. Nebot;H.F. Durrant-Whyte.
international conference on robotics and automation (1999)
The aiding of a low-cost strapdown inertial measurement unit using vehicle model constraints for land vehicle applications
G. Dissanayake;S. Sukkarieh;E. Nebot;H. Durrant-Whyte.
international conference on robotics and automation (2001)
Visual-Inertial-Aided Navigation for High-Dynamic Motion in Built Environments Without Initial Conditions
T. Lupton;S. Sukkarieh.
IEEE Transactions on Robotics (2012)
Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
Anna Chlingaryan;Salah Sukkarieh;Brett Whelan.
Computers and Electronics in Agriculture (2018)
Online Localization of Radio-Tagged Wildlife with an Autonomous Aerial Robot System
Oliver M. Cliff;Robert Fitch;Salah Sukkarieh;Debbie Saunders.
robotics science and systems (2015)
Real-Time Navigation, Guidance, and Control of a UAV Using Low-Cost Sensors.
Jong-Hyuk Kim;Salah Sukkarieh;Stuart Wishart.
field and service robotics (2003)
Airborne simultaneous localisation and map building
Jong-Hyuk Kim;S. Sukkarieh.
international conference on robotics and automation (2003)
Low Cost, High Integrity, Aided Inertial Navigation Systems for Autonomous Land Vehicles
An Analytical Continuous-Curvature Path-Smoothing Algorithm
Kwangjin Yang;Salah Sukkarieh.
IEEE Transactions on Robotics (2010)
Autonomous airborne navigation in unknown terrain environments
J. Kim;S. Sukkarieh.
IEEE Transactions on Aerospace and Electronic Systems (2004)
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