Driving simulator with eye-measurable HMD and VR environment
We are developing a driving ability test for the elderly and patients who are recovering from brain diseases.
The aim is to construct a quantitative evaluation index to support resumption of driving and return of driver's license.
A scenario in which pedestrians come out from the left and right while driving at approximately 60 km/h on a one-lane straight road was created. Driving ability is evaluated by analyzing the presence or absence of a collision with a pedestrian, gaze, time required for braking, head movement, and so on.
Bicycle Simulator
We have developed a bicycle driving simulator that combines VR technology, magnetic motion capture technology, and various sensors to present a distant view of a virtual traffic environment that matches the visibility of reality, allows the driver to see the road surface near his or her feet, and enables the driver to brake.
The simulator aims to identify risk factors common to traffic accidents while riding a bicycle.
Walking Environment Simulator
In terms of the number of fatalities by traffic accident condition, the highest percentage of fatalities occurred while walking. Of these, 70% were killed while crossing the roadway. In order to prevent traffic accidents between pedestrians and vehicles, it is effective for pedestrians to learn safe crossing behaviors in addition to approaches to accident prevention from the driver's side.
This research aims to develop a "Wearable Walking Environment Simulator" that enables real-world walking in a virtual space using an HMD to simulate the hazards of crossing a roadway, and to measure pedestrian behavior in a virtual traffic environment to identify accident-prone pedestrian behavior.
Virtual Traffic Environment Inspection