MIACDrive: A 3D Simulation of Driving in Urban and Rural Environments for Studies on Intelligent Vehicles
Presentation Type
Poster
Faculty Advisor
Rui Li
Access Type
Event
Start Date
26-4-2024 12:45 PM
End Date
26-4-2024 1:44 PM
Description
Driving simulation is very important for both automotive and driver behavior studies as it provides a safe and controlled platform for quickly duplicating different driving scenarios and even dangerous situations. However, there are few affordable or open-source driving simulations that consider variations of environmental factors as well as providing interfaces for studying human factors. This leads to difficulties for researchers who want to perform relevant studies. Motivated by this, we developed a 3D driving simulator by using easy setup equipment to simulate different environmental factors (weather, time, road conditions), set up a driver facial interface, and integrate LiDAR sensing. Moreover, the developed driver interface has the potential to be extended to provide access to more human biometric information. This 3D driving simulator aims to provide a safe and quick prototype platform for advancing studies on the impacts of human and environmental factors on the development of autonomous vehicles. An example driving test demonstrated the driving contents and current functions of the developed driving simulator.
MIACDrive: A 3D Simulation of Driving in Urban and Rural Environments for Studies on Intelligent Vehicles
Driving simulation is very important for both automotive and driver behavior studies as it provides a safe and controlled platform for quickly duplicating different driving scenarios and even dangerous situations. However, there are few affordable or open-source driving simulations that consider variations of environmental factors as well as providing interfaces for studying human factors. This leads to difficulties for researchers who want to perform relevant studies. Motivated by this, we developed a 3D driving simulator by using easy setup equipment to simulate different environmental factors (weather, time, road conditions), set up a driver facial interface, and integrate LiDAR sensing. Moreover, the developed driver interface has the potential to be extended to provide access to more human biometric information. This 3D driving simulator aims to provide a safe and quick prototype platform for advancing studies on the impacts of human and environmental factors on the development of autonomous vehicles. An example driving test demonstrated the driving contents and current functions of the developed driving simulator.