Coen de Visser

About Coen de Visser

Coen de Visser, With an exceptional h-index of 30 and a recent h-index of 21 (since 2020), a distinguished researcher at Technische Universiteit Delft, specializes in the field of autonomous robot safety, control theory, envelope prediction, system identification, multivariate spline theory.

His recent articles reflect a diverse array of research interests and contributions to the field:

Using splines for point spread function calibration at non-uniform depths in localization microscopy

Blade Element Theory Model for UAV Blade Damage Simulation

Unreal Success: Vision-Based UAV Fault Detection and Diagnosis Framework

Loss-of-Control Prediction of a Quadcopter Using Recurrent Neural Networks

Stalls and Splines: Current Trends in Flight Testing and Aerodynamic Model Identification

Fast loss of effectiveness detection on a quadrotor using onboard sensors and a Kalman estimation approach

Incremental Nonlinear Control Allocation for an Aircraft with Distributed Electric Propulsion

Flight path reconstruction filter extension for tracking flexible aircraft modal amplitudes and velocities

Coen de Visser Information

University

Position

___

Citations(all)

2611

Citations(since 2020)

1822

Cited By

1505

hIndex(all)

30

hIndex(since 2020)

21

i10Index(all)

72

i10Index(since 2020)

56

Email

University Profile Page

Google Scholar

Coen de Visser Skills & Research Interests

autonomous robot safety

control theory

envelope prediction

system identification

multivariate spline theory

Top articles of Coen de Visser

Using splines for point spread function calibration at non-uniform depths in localization microscopy

bioRxiv

2024

Jelmer Cnossen
Jelmer Cnossen

H-Index: 4

Coen De Visser
Coen De Visser

H-Index: 20

Blade Element Theory Model for UAV Blade Damage Simulation

2024

Unreal Success: Vision-Based UAV Fault Detection and Diagnosis Framework

2024

Loss-of-Control Prediction of a Quadcopter Using Recurrent Neural Networks

Journal of Aerospace Information Systems

2023/10

Stalls and Splines: Current Trends in Flight Testing and Aerodynamic Model Identification

Journal of Aircraft

2023/9

Fast loss of effectiveness detection on a quadrotor using onboard sensors and a Kalman estimation approach

2023/6/6

Incremental Nonlinear Control Allocation for an Aircraft with Distributed Electric Propulsion

2023

Flight path reconstruction filter extension for tracking flexible aircraft modal amplitudes and velocities

2023

Peaking into the Black-box: Prediction Intervals Give Insight into Data-driven Quadrotor Model Reliability

2023

Asymmetric Stall Modeling of the Cessna Citation II Aircraft

2022

Just Noticeable Differences for Variations in Quasi-Steady Stall Buffet Model Parameters

2022

Aeroservoelastic flight testing platform development for system identification

2022

Wind and airflow angle estimation using an adaptive extended Rauch-Tung-Striebel smoother

2022

Attitude Estimation of a Quadcopter with one fully damaged rotor using on-board MARG Sensors

2022

Ground vibration testing and FEM model updating of scaled Diana 2 glider model using accelerometer, gyro and strain measurements

Proceedings of the International Forum of Aeroelasticity and Structural Dynamics 2022, IFASD 2022

2022

Fast fault detection on a quadrotor using onboard sensors and a kalman filter approach

arXiv preprint arXiv:2102.06439

2021/2/12

Sihao Sun
Sihao Sun

H-Index: 5

Coen De Visser
Coen De Visser

H-Index: 20

Adaptive real-time clustering method for dynamic visual tracking of very flexible wings

Journal of Aerospace Information Systems

2021/2

Autonomous quadrotor flight despite rotor failure with onboard vision sensors: Frames vs. events

IEEE Robotics and Automation Letters

2021/1/1

Stall buffet modeling using swept wing flight test data

2021

Developing the Model Reduction Framework in High Frame Rate Visual Tracking Environment

2021

See List of Professors in Coen de Visser University(Technische Universiteit Delft)

Co-Authors

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