George K. I. Mann

Professor

Memorial University of Newfoundland

Canada

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Articles (10)

Computationally Efficient Stability-Based Nonlinear Model Predictive Control Design for Quadrotor Aerial Vehicles

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Year:

2023

Review of Navigation Methods for UAV-Based Parcel Delivery

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Year:

2023

Asymptotic Gradient Clock Synchronization in Wireless Sensor Networks for UWB Localization

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Year:

2022

Toward Developing an Indoor Localization System for MAVs Using Two or Three RF Range Anchors: An Observability Based Approach

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Year:

2022

Nonlinear MPC Without Terminal Costs or Constraints for Multi-Rotor Aerial Vehicles

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Year:

2022

Observability-Constrained VINS for MAVs Using Interacting Multiple Model Algorithm

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Year:

2021

The Internet of Things in the Oil and Gas Industry: A Systematic Review

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Year:

2020

CKF-Based Visual Inertial Odometry for Long-Term Trajectory Operations

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Year:

2020

Digital Twin for the Oil and Gas Industry: Overview, Research Trends, Opportunities, and Challenges

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Year:

2020

Unmanned Aerial Systems for the Oil and Gas Industry: Overview, Applications, and Challenges

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Year:

2020

George K. I. Mann

Research Interests

Explore related searches

Contact this professor

Articles (10)

Computationally Efficient Stability-Based Nonlinear Model Predictive Control Design for Quadrotor Aerial Vehicles

Review of Navigation Methods for UAV-Based Parcel Delivery

Asymptotic Gradient Clock Synchronization in Wireless Sensor Networks for UWB Localization

Toward Developing an Indoor Localization System for MAVs Using Two or Three RF Range Anchors: An Observability Based Approach

Nonlinear MPC Without Terminal Costs or Constraints for Multi-Rotor Aerial Vehicles

Observability-Constrained VINS for MAVs Using Interacting Multiple Model Algorithm

The Internet of Things in the Oil and Gas Industry: A Systematic Review

CKF-Based Visual Inertial Odometry for Long-Term Trajectory Operations

Digital Twin for the Oil and Gas Industry: Overview, Research Trends, Opportunities, and Challenges

Unmanned Aerial Systems for the Oil and Gas Industry: Overview, Applications, and Challenges

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