Ford Motor Company Research & Advanced Engineering Physical Fidelity and Driving Simulation 21 things to know about your simulator before you write the.

Slides:



Advertisements
Similar presentations
Chapter3 Pulse-Echo Ultrasound Instrumentation
Advertisements

1 VEHICLE DYNAMICS. 2  Increase “track driving” vehicle performance:  Lap time  Stopping distance  Standing start acceleration  Increase “road driving”
Assessing and Managing Risk
Motorcycle Rider Braking Simulator Study of Motorcycle Rider Braking Behavior NHTSA-Honda 11/16/09 P. Rau.
Service Engineering Synchronizer Maintenance. Service Engineering Synchronizer: What is it? The Synchronizer is a device that helps match engine speed.
A Simulator Sickness Literature Review Michael A. Mollenhauer 12/19/2003.
The Driving Task The driving task is everything it takes to operate a motor vehicle. The three skills of the driving task are: A. Physical-coordination.
Chapter #8 Study Guide Answers.
Aerial Apparatus Operator Operating Emergency Vehicles.
Virtual Reality Design Virtual reality systems are designed to produce in the participant the cognitive effects of feeling immersed in the environment.
Managing Time and Space Vehicle Positioning. USE ANY OF THESE VISUAL TECHNIQUES 1.IPDE 2.The Smith System 3.Zone Control.
Three Dimensional Visual Display Systems for Virtual Environments Presented by Evan Suma Part 3.
1 Brake-by-Steer Concept Challenge the future Delft University of Technology Brake-by-Steer Concept Steer-by-wire application with independently.
Introduction to VISSIM
Vision & Driving 90% of your decisions are based on information you gather with your eyes Peripheral Vision=To the sides Central Vision=In the front Vertical.
Drivers Education Dave Haskins
Ch 9 Basic Driving Skills.
International Journal of Industrial Ergonomics 35 (2005) 939–953 Situation awareness and workload in driving while using adaptive cruise control and a.
Starting, Moving, and Stopping the Vehicle
Skin Deformation Display for Enhanced Driver Situational Awareness Chris Ploch.
Three Dimensional Visual Display Systems for Virtual Environments Michael McKenna, David Zeltzer Presence, Vol. I, No. 4, 1992 Presenter: Dong Jeong.
Human Factors Research Issues for Cooperative Intersection Collision Avoidance Systems (CICAS) Vicki Neale, Ph.D. Director, Center for Vehicle-Infrastructure.
Teleoperation Interfaces. Introduction Interface between the operator and teleoperator! Teleoperation interface is like any other HMI H(mobile)RI = TI.
Emotions Affect Your Driving Ability
Hypothesis 1: Narrow roadways and roadways with higher speed limits will increase risk of vehicle/bicycle crash Hypothesis 2: Bicycle lanes and signage.
C L A S #3 Driver Operator Refresher Training. Operating Emergency Vehicles Class #3 Henderson Fire Department Defensive Driving Refresher Training.
Corolla Electric Power Steering PE June, 2010.
TRAINING TOOLS WORKING TOGETHER SKIDCAR and SIMULATORS USING AVAILABLE TOOLS TO MAKE BETTER DRIVERS.
Motion Cueing From Sensation to Sensibility Sunjoo Advani IDT WATS 2009 Orlando.
Modeling Driver Behavior in a Cognitive Architecture
Case Study Development of Virtual Driving Simulator for Transportation Research M. K. Abdul Jalil, PhD Faculty of Mechanical Engineering Universiti Teknologi.
Designing 3D Interfaces Examples of 3D interfaces Pros and cons of 3D interfaces Overview of 3D software and hardware Four key design issues: system performance,
Driving Simulator Performance Variables: An Overview Ronald R. Mourant – Northeastern University –
Conducting Situated Learning in a Collaborative Virtual Environment Yongwu Miao Niels Pinkwart Ulrich Hoppe.
Overview of Transportation Safety & Security Area of Excellence at GW and Center for Intelligent Systems Research The George Washington.
1 Auditory, tactile, and vestibular sensory systems n Perceptually relevant characteristics of sound n The receptor system: The ear n Basic sensory characteristics.
IPDE Process IDENTIFY Give meaning to what you see. The sooner you identify a possible hazard the more time you will have to react safely. Look For:
Visual, auditory, and haptic displays Dr. Xiangyu Wang Acknowledgment of Dr. Doug Bowman’s lecture notes.
Note: 90% of the driving task is visual!
Dr. Gallimore10/18/20151 Cognitive Issues in VR Chapter 13 Wickens & Baker.
Interacting With Other Users. Most collisions occur when two or more objects try to occupy the same space at the same time. Drivers must identify movement.
Worked examination question Safe vehicles. a A transport engineer is investigating how the braking efficiency of a vehicle changes with different factors.
National Taiwan A Road Sign Recognition System Based on a Dynamic Visual Model C. Y. Fang Department of Information and.
T TNO Human Factors Driving behaviour effects of the Chauffeur Assistant Jeroen Hogema.
Benchtesting Driver Support and Collision Avoidance Systems using Naturalistic Driving Data Shane McLaughlin March 17, 2011.
Motor Control. Beyond babbling Three problems with motor babbling: –Random exploration is slow –Error-based learning algorithms are faster but error signals.
1 1 Spatialized Haptic Rendering: Providing Impact Position Information in 6DOF Haptic Simulations Using Vibrations 9/12/2008 Jean Sreng, Anatole Lécuyer,
Auditory & tactile displays EGR 412 Human Factors Engineering ISE
Panerai, F., Droulez, J. Kelada, J.M., Kemeny, A., Balligand, E. and Favre, B.
Section 704.  The driving portion of this course will be performed with a field examiner.
The SIPDE and Smith System “Defensive Driving Techniques”
INTRODUCTION TO DEFENSIVE DRIVING Robyn Hutto Lawrence County High School.
CHAPTER 2 – NJ DRIVER TESTING. BASIC DRIVER LICENSE REQUIREMENTS 6 POINTS OF IDENTIFICATION VISION TEST: 20/50 VISION WITH OR WITHOUT CORRECTIVE LENSES.
Introduction To Defensive Driving  S.I.P.D.E. and “The Smith System” have been two key components of defensive driving for over 25 years.  Drivers who.
Traffic Safety Terms. Acceleration Lane An expressway lane used to speed up to highway speed.
The Logic of Scenario Development: A Case Study Ronald R. Mourant and Matthew Romoser Northeastern Univ. Univ. of Massachusetts.
Fletcher’s band-widening experiment (1940)
Module 3: Topics 1-3 Vision and Driving Visual Fields Line of Sight/Path of Travel Locating Vehicle Blind Zones.
Design of Visual Displays for Driving Simulator Research G. John Andersen Department of Psychology University of California, Riverside.
Feedback Systems and Driving Clinton Matney AT Workshop 2016.
St. Francis Prep Driver Education
Driving Ranges and Driving Simulators
Unit 3 – Driver Physical Fitness
Virginia Department of Education
Moving toward Virtual Vehicle Development
Unit 4: Vision and Space Management
Josh Switkes Eric J. Rossetter Ian A. Coe J. Christian Gerdes
Issues in measuring sensory-motor control performance of human drivers: The case of cognitive load and steering control Johan Engström, Volvo Technology.
Vehicle Characteristics and Car Following
Vision based automated steering
Presentation transcript:

Ford Motor Company Research & Advanced Engineering Physical Fidelity and Driving Simulation 21 things to know about your simulator before you write the proposal Jeff Greenberg

Ford Motor Company Research & Advanced Engineering fidelity n 1: accuracy with which an electronic system reproduces the sound or image of its input signal 2: the quality of being faithful [syn: faithfulness] [ant: infidelity,infidelity]faithfulnessinfidelity SourceSource: WordNet ® 1.6, © 1997 Princeton University

Ford Motor Company Research & Advanced Engineering How much is enough? ●Depends on the experimental details, of course! ●Simulator experiments generally seek to measure a human response across a variety of controlled conditions ●The goal is often to extrapolate those findings from the simulator to the traffic system at large: real people, real cars, real roads.

Ford Motor Company Research & Advanced Engineering Fidelity Spectrum ●Real People, Real Cars, Real Roads Epidemiology (Truth Yesterday) ●Sampled People, Real Cars, Real Roads Black box observation, naturalistic data collection (Truth Today?) ●Sampled People, Fake Cars, Real Roads Prototype studies, Field Studies (Truth Tomorrow??) ●Sampled People, Virtual Cars, Virtual Roads Driving Simulation (Truth Today, Tomorrow and Beyond ???) FIDELITY higher lower

Ford Motor Company Research & Advanced Engineering Infidelity or Artifacts are key ●All simulators have artifacts ●The goal of characterizing a simulator’s fidelity is to know what your major artifacts are and how big they are in the context of a given experimental setup. ●The key to experimental success is understanding how those artifacts interact with your experimental design

Ford Motor Company Research & Advanced Engineering The Art of Simulator Triage No matter how compelling the research interest, a simulator study should only be done if you understand the artifacts that are likely to occur in your simulator during the experiment and have the ability to control them to an acceptable level. In practice, most patients cannot be saved – i.e. most research questions cannot be answered in a given simulator with a useful level of accuracy.

Ford Motor Company Research & Advanced Engineering How do I know what artifacts to expect? ●Start with a knowledge of the most important characteristics of physical fidelity in your simulator ●Cueing systems Visual Auditory Haptic or Tactile Vestibular ●Physical environment Cab Laboratory ●Virtual environment Visual world Terrain and roadways Vehicle Models

Ford Motor Company Research & Advanced Engineering Visual System CharacteristicKey MeasureMost Likely Artifacts 1Horiz. Field of View Angular extentToo Small: not enough visual information to see or drive scenario. Improper mirror scanning behavior and visual allocation. Too Large: potential simulator sickness 2Perceived resolution Angular extent of the smallest resolvable optical line pair Too Small: Improper threat identification. Difficulty seeing roadway and signage. Eyestrain & fatigue, simulator sickness. 3Transport delay Time delay between operator action and visual system response Too large: Degraded vehicle control. Increased simulator sickness. 4Accommodation Distance at which eye accommodates Too Small: eyestrain, poor depth perception and distance judgements, simulator sickness?

Ford Motor Company Research & Advanced Engineering Auditory System CharacteristicKey MeasureMost Likely Artifacts 5Wind/Tire noise loudness Loudness as a function of speed Too Small: Underestimation of vehicle speed Too Large: Discomfort 6Powertrain loudness Loudness as a function of engine speed and load Too Small: Poor onset acceleration cue

Ford Motor Company Research & Advanced Engineering Haptic Systems CharacteristicKey MeasureMost Likely Artifacts 7Steering loader torque Torque as a function of vehicle speed and sw angle Too Small: poor vehicle control Too Large: difficulty steering, potential safety concern 8Steering loader damping Free response to small step input Too Small: instability, potential safety issue Too Large: steering feels ‘dead’, poor steering control during lane changes 9Brake pedal stiffness Force per unit distance Too Small: low initial braking forces Too Large: high initial braking forces, can’t modulate brake pedal, increased simulator sickness

Ford Motor Company Research & Advanced Engineering Vestibular Cueing CharacteristicKey MeasureMost Likely Artifacts 10Useful motion range (<3Hz) Maximum useful acceleration scale factor per degree of freedom Too Small: poor vehicle control, simulator sickness, visual demand too high 11Small Signal bandwidth 3dB frequency 90deg phase Too Small: incorrect ride dynamics, poor road feel, ‘magic carpet’ ride 12Roughness Acceleration noise (g’s) Too Large: false cues, poor on-center control, discomfort, anxiety

Ford Motor Company Research & Advanced Engineering Environment: Cab & Laboratory CharacteristicKey MeasureMost Likely Artifacts 13Realistic greenhouse A-pillar geometryNo A-pillars: incorrect FOV, changed visual scanning 14Visual Immersion Number of objects fixed in laboratory frame that are visible while driving Too Large: destroys perception of self-motion in fixed sim, in moving sim generates false motion cues

Ford Motor Company Research & Advanced Engineering Visual World CharacteristicKey MeasureMost Likely Artifacts 15Maximum traffic density Number of cars in scene without frame overruns Too Low: may not meet experimental objectives. Adding traffic and tolerating overruns may invalidate vehicle control measures and increase simulator sickness! 16Clarity of road markings Distance at which road markings are clearly visible Too Small: Drivers may be unable to determine correct vehicle path

Ford Motor Company Research & Advanced Engineering Terrain & Roadways CharacteristicKey MeasureMost Likely Artifacts 17Offroad capability Can driving occur anywhere in the world or only on ‘roads’? ‘Road’ only: agricultural and off-road simulations not possible 18Terrain fidelity Spatial frequency of the terrain geometry Too Small: Vehicle motions unusually rough over terrain that appears to be smooth. When coupled with vibration or motion simulation can induce discomfort.

Ford Motor Company Research & Advanced Engineering Vehicle Models CharacteristicKey MeasureMost Likely Artifacts 19Acceleration 0-60 time (s)Too High or too low: Unrealistic following abilities and gap acceptance. 20Engine braking/Aero drag Decleration at closed throttle as a function of vehicle speed Too High: Unrealistic car following Too Low: Unrealistic car following, overuse of brakes to maintain speed 21Lateral acceleration gain Ay/Swa as a function of vehicle speed Too Low: Incorrect lane keeping, poor lane change ability Too High: Incorrect lane keep, unrealistic lane change ability, potentially unstable