Improving Driver Ability to Avoid Collisions When Following a Snowplow Michele Olsen Siddharth Deokar and Peter Willemsen Department of Computer Science University of Minnesota Duluth ID: 504751
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Snow Rendering for Interactive Snowplow SimulationImproving Driver Ability to Avoid Collisions When Following a Snowplow
Michele Olsen, Siddharth Deokar, and Peter WillemsenDepartment of Computer ScienceUniversity of Minnesota DuluthSlide2
Research ObjectivesCreate knowledge to make winter driving saferIn snowing conditionsFollowing behind a snowplow can be dangerous!Following cars can be dangerous!
Fog and snow complicate visual perceptionSpeed and motion detection likely misperceived!Complicating factors are not well understood!Through computer simulation environmentBetter understand how we drive in snowing conditionsAttempt to reduce risk associated with following snowplowsEnable more effective training within snowing conditionsSlide3
Winter Driving Simulation FrameworkRear Lighting and Motion Detection ExperimentsSlide4
Winter Driving Simulation FrameworkSubjects drive over 10km roadway following snowplow under varying low luminance contrast (fog) conditions, while rear lighting is varied to improve motion detection performanceSlide5
Experiment 1 – Do lights make a difference?Compare alternative lighting configurations for improved reaction times
FlashingVertical BarsOnlyVertical Barsw/ CornersSlide6
Experiment 2 – Does enhancing contrast helpCompare best condition from Exp 1 with alternative scenarios that maximize contrastVertical BarsBest Condition from Previous Exp
Vertical Barsw/ Black ContrastSlide7
Ongoing Experiment – Distance vs. OrientationWith contrast enhanced lighting, try to generateknowledge for practical placement of lights.Slide8
Blowing Snow SimulationSlide9
Current ResultsSlide10
Snow Density Mapped to Visibility
Able to map visibility in real world to visibilty in simulationEmpirically calculated in simulationbased on particle
density and snow
visual settingsSlide11
Refinement of geometry within simulation will improve interaction between blowing snow and snowplowImplementing code base to deposit snow particles onto surfaces
E.g. windshieldsReduces visibility for driversStill work in progressSnow/Environment Interaction (Ongoing)Slide12
Forward Thinking EffortsComplete integration of winter driving simulation framework with snowing model
with VR Lab’s HMDRefine outdoor light intensity modelBetter model of daylight and nighttime lightingMaster’s student continuing this workInvestigating how blowing snow and fast dispersion modeling system could fit into MDSSMaintenance Decision Support SystemLive modeling of potential weather situationsSlide13
AcknowledgementsSara Erickson and Albert Yonas Institute of Child Development, Department of Psychology University of Minnesota
Daniel Schobert, Jennifer CarleyNATSRL, Eil KwonSlide14
Comments?Questions?