Introduction to the Vehicle Modeling and Simulation LabThe Vehicle Modeling and Simulation Buck (VMSB) is a quarter car hardware fabricated at Ohio University. It is driven by the CarSim Vehicle Dynamics software, and executes on a high-end 3.4GHz Intel Core I7 machine. The simulator platform consists of three 40" Samsung monitors that display the simulated vehicle's world, a constructed cabin/frame, and simulated vehicle controls (a steering wheel in the form of a Logitech steering wheel controller).
The lab is designed to focus on three main topics: sensors and sensor fusion, intelligent vehicles, and preventing vehicle crashes. One example of current work is determining the precise location of the host vehicle relative to the road via lane markers and "potential in-path targets" before taking any active or passive actions. Such actions consist of prompting the driver of changes in road conditions, warning of a potentially dangerous situation ahead, or autonomously control the vehicle by interacting with the steering, braking, or powertrain to help prevent an accident.
Great promise is generated because the synergistic Intelligent Vehicle System (IVS) capabilities will allow for the "tuning" of the advanced mathematical algorithms. These execute in simulated real-world vehicles, specific powertrain, chassis, etc. and scripted road surfaces (i.e., specify μ) and driving maneuvers. A vehicle's performance (stability, deceleration, etc.) are studied via a comprehensive vehicle dynamics model in commercial research software - CarSim. CarSim allows for the integration of other standard design tools such as Matlab/Simulink, or LabView to design architectures that utilize realistic representations of vehicle dynamics models. Results from simulation and real-time data collection can then be utilized to initiate commercial product development for the open market. The research areas that would be investigated through this lab are:
- Simulation and analysis of vehicle crash scenarios.
- Study of vehicle dynamics with respect to stability and control.
- Sensor characterizations like LIDAR, RADAR etc.
- Development and study of Collision Warning system.
- Lane detection and tracking.