Stephen D’Angelo Orun Irunmale Bart Jedrocha.  Create a realistic driving simulator suitable for performing psychology experiments by interfacing with.

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Presentation transcript:

Stephen D’Angelo Orun Irunmale Bart Jedrocha

 Create a realistic driving simulator suitable for performing psychology experiments by interfacing with reaction timing hardware to obtain accurate measurements.  Realistic environment and physics allowing players to improve their real world driving skills while driving in our virtual world.  Provide safer means of driver training before going out on real world streets.

 Uses realistic car physics to mimic real driving.  Traffic lights control the traffic flow of cars and pedestrians.

 The Scenario Editor and HUD tools provide easy to use functionality for editing events in the world.  Instructors can lead players through the world by calling in game signs that display for the player.  Instructors can set up separate scenarios to test the player under unique circumstances.

 Players can immediately start cruising through SOBCity.  Push their car to the limit while avoiding traffic and pedestrians.  Explore the vast and detailed environment.  Push their cars to the limit while hitting traffic and pedestrians.

 Welcome to SOBCity  Pedestrians roam the sidewalks.  Cars cruise the streets.  Traffic lights govern the flow of cars and pedestrians.  Abundance of different buildings and areas.

 Set up scenarios to test the players driving skill.  Instructors can create pedestrians and cars anywhere in the world.  Create paths for the pedestrians and cars to follow.  Scenarios are saved in xml log files for use at any time.

 EEG hardware will be able to detect the millisecond response time of the player to triggers placed in the scenario editor.  Eye-Tracker hardware will be able to detect where the player is looking to determine if proper mirror/blindspot checking is taking place.  CarSim’s car physics forces will stream into a car simulator allowing the simulator to move according to the players actions making the learning experience easier to adapt to real driving situations.

 Any Questions?