Navi-imaging using depth cross-section virtual reality images and p/n inversion control: considering dimension expansion

We prototype a training-type virtual reality-head mounted display (VR-HMD) for pilots and drivers for the development of a navi-light device for vehicles. As a new challenge, we propose to reproduce VR images from one photo where a traffic accident occurred actually, and then to assist drive and flight training for driver and pilot in such a VR space. Concretely, we rendered virtual reality (VR) images from one photo using depth estimation software. A hole created in the VR images moved continuously in the stacking direction of the VR images, demonstrating the possibility of developing an application for a view-guiding device. We also controlled how the VR images were observed during the view-guiding through an inversion operation between p and n- types using a polarizer.