Saliency difference based objective evaluation method for a superimposed screen of the HUD with various background
This addresses a safety issue for drivers using HUDs in vehicles, but it is incremental as it focuses on evaluation rather than solving the interference directly.
The paper tackles the problem of evaluating mutual interference between projected information on a head-up display (HUD) and background colors, which can reduce noticeability, by proposing a saliency-based evaluation method that compares saliency maps of measured images with HUD images.
The head-up display (HUD) is an emerging device which can project information on a transparent screen. The HUD has been used in airplanes and vehicles, and it is usually placed in front of the operator's view. In the case of the vehicle, the driver can see not only various information on the HUD but also the backgrounds (driving environment) through the HUD. However, the projected information on the HUD may interfere with the colors in the background because the HUD is transparent. For example, a red message on the HUD will be less noticeable when there is an overlap between it and the red brake light from the front vehicle. As the first step to solve this issue, how to evaluate the mutual interference between the information on the HUD and backgrounds is important. Therefore, this paper proposes a method to evaluate the mutual interference based on saliency. It can be evaluated by comparing the HUD part cut from a saliency map of a measured image with the HUD image.