The ClearHUD algorithm was implemented in a prototype software for testing using 3D modeling. The optical flow for the SVS is estimated using ray tracing. The optical flow for the EVS is estimated using FlowNet 2.0 convolutional neural network (CNN). The evaluation of the ClearHUD algorithm has proved that it provides a significant increase of brightness of obstacles and reduces the intensity of non-informative areas.
ACCESS THE FULL ARTICLE
Vladimir V. Kniaz, "Optical flow-based filtering for effective presentation of the enhanced vision on a HUD," Proc. SPIE 10679, Optics, Photonics, and Digital Technologies for Imaging Applications V, 106790O (24 May 2018);