Contact

Diane Cleij

Address: Spemannstr. 41
72076 Tübingen
Room number: 2.A.02
Phone: +49 7071 601 641
Fax: +49 7071 601 616
E-Mail: diane.cleij

 

Picture of Cleij, Diane

Diane Cleij

Position: PhD Student  Unit: Bülthoff

PhD student in the Motion Perception and Simulation research group

Supervisors: Joost Venrooij and Paolo Pretto

 

Increasing use of motion-based simulators is made for a wide variety of vehicles. One of the main challenges of a motion-based simulator is to cope with its limited workspace. Motion Cueing Algorithms (MCA) have been developed to map the vehicle inertial motions onto the simulator motion space, while minimizing the mismatch between the visual and inertial motion cues. However, a mismatch always remains.

In my research I aim to investigate the relation between these mismatches and the time varying perceived realism of the motion simulation.

 

Background

In 2011 I graduated from the Technical University in Delft, The Netherlands, in the field of control and simulation at the faculty of Aerospace Engineering. During my internship I did research on differences between driving behavior in elderly and young drivers at Entropy Inc, San Diego, USA. For my master thesis I developed a haptic shared controller based on different states of the human neuromuscular system and analyzed the influences of these controllers on driving behavior.

After my master thesis I worked in industry for two years as a mechatronics designer at Alten Mechatronics and ASML. In 2014 I started my PhD here at the Max Planck Institute for Biological Cybernetics.

PhD: Modelling perceived motion incoherence between visual/inertial motion cues in a motion-based simulator

 

Introduction

To cope with the limited workspace of motion based simulators, motion cueing algorithms (MCA) are used to map the desired motions onto the simulator workspace. Because of this necessary mapping, mismatches between visual and inertial cues will always occur. Certain, but not all, of these mismatches can cause the subject to perceive an incoherence between the visual and inertial motions. This perceived motion incoherence (PMI) in turn, causes a decrease in simulation realism or can even result in simulator sickness.

To minimize this PMI, experts are often asked to optimize the MCA. A more efficient way of optimizing an MCA is to use mathematical optimization algorithms. However, these algorithms require a mathematical representation of the relation between PMI and the mismatches between visual and inertial motion cues. Currently such a representation does not yet exist.

 

Goals

  • Derive a model to predict the time-varying perceived motion incoherence between visual/inertial motion cues (PMI)
  • Improve MCA’s using the derived model

 

Methods

The project consists of three main steps. In the first step a continuous measurement method will be developed to measure how the PMI in a motion-based simulator evolves over time. The second step is to use this measurement method to derive a model that predicts the PMI given the time signals of the visual and vestibular motion cues (linear acceleration and rotational velocity). To investigate the time-varying aspect of the PMI, we will first derive a PMI prediction model for simple, one degree of freedom, motions. This model will be used to derive a PMI prediction model for more complex, multiple degrees of freedom, motions. In the third and final step the PMI prediction model will be used to optimize MCAs.

 

Initial results

As the project has just started no results can be presented yet. However, some hypotheses are defined for the first experiment, where the PMI measurement method will be tested.

  • The PMI measurements are consistent between and within subjects, showing the robustness of the method
  • The PMI measurements show a significant coherence with the difference between the visual and inertial motion cues over time, showing the sensitivity of the measurement.

Diane Cleij

Diane Cleij is an aerospace engineer with a strong interest in the field of human-machine interaction. Her main focus is on motion perception and control in vehicles such as cars or airplanes.

 

Current position

Since Feb 2014 PhD Candidate at Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany at the Motion Perception and Simulation research group

Education

2009-2011

Master of Science (M.Sc.) in Aerospace Engineering, Delft University of Technology, Delft, The Netherlands.
Thesis title: Design of Haptic Shared Control, Analysing Driver-Controller Interaction

2004-2008 Bachelor of Science (B.Sc.) in Aerospace Engineering , Delft University of Technology, Delft, The Netherlands.

 

Experience

2012-2013 Designer Mechatronics at ASML (via Alten Mechatronics), Eindhoven, The Netherlands. Department of Stage Position Measurement (SPM).
Being responsible for the interface between SPM software and hardware, I worked on improvements of the low level software model and validation testing and trouble shooting during the integration process of the NXT machines, using Matlab and ASML tooling.
2011-2012 Consultant Mechatronics at Alten Mechatronics , Eindhoven, The Netherlands.
In-house Projects: Development of the software architecture in C++ for a demonstration set up at recruitment fairs. Development of a simulation of the TU/e Jazz robot using ROS, Gazebo and RViz. Leading a small team in the development of a very low cost robot (10 dollar) for educational purposes.
2010 Research Internship at Entropy Control Inc. (supported by NISSAN), La Jolla (San Diego), California, United States.
Project 1: Analysis of differences in driving behavior between young and elderly drivers. Project 2: Design of a virtual environment using C++ and OpenGL for usage in research on the influences of additional visual cues during curve negotiation.

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Conference papers (5):

Venrooij J, Cleij D, Katliar M, Pretto P, Bülthoff HH, Steffen D, Hoffmeyer FW and Schöner H-P (September-8-2016) Comparison between filter- and optimization-based motion cueing in the Daimler Driving Simulator, DSC 2016 Europe: Driving Simulation Conference & Exhibition, 31-38.
pdf
Cleij D, Venrooij J, Pretto P, Pool DM, Mulder M and Bülthoff HH (September-2015) Continuous rating of perceived visual-inertial motion incoherence during driving simulation, DSC 2015 Europe: Driving Simulation Conference & Exhibition, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 191-198.
Venrooij J, Pretto P, Katliar M, Nooij SAE, Nesti A, Lächele M, de Winkel KN, Cleij D and Bülthoff HH (September-2015) Perception-based motion cueing: validation in driving simulation, DSC 2015 Europe: Driving Simulation Conference & Exhibition, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 153-161.
pdf
Abbink DA, Cleij D, Mulder M and van Paassen MM (October-2012) The importance of including knowledge of neuromuscular behaviour in haptic shared control, IEEE International Conference on Systems, Man, and Cybernetics (SMC 2012), IEEE, Piscataway, NJ, USA, 3350-3355.
Boer E, Cleij D, Dawson J and Rizzo M (June-2011) Serialization of Vehicle Control at Intersections in Older Drivers, 6th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design, University of Iowa, Public Policy Center, Iowa City, IA, USA, 17-23.

Talks (1):

Cleij D, Venrooij J, Pretto P, Pool DM, Mulder M and Bülthoff HH (September-7-2015) Invited Lecture: Continuous Measurement of Perceived Visual/Inertial Motion Coherence in a Motion Simulator, 5th CEAS Air & Space Conference, Delft, The Netherlands.

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Last updated: Tuesday, 18.11.2014