# Saliency difference based objective evaluation method for a superimposed screen of the HUD with various background

## TL;DR

This paper introduces a saliency-based objective evaluation method to assess how well a head-up display (HUD) visual information stands out against various background scenes, addressing interference issues in transparent displays.

## Contribution

It proposes a novel saliency difference approach to evaluate mutual interference between HUD information and backgrounds, aiding in better design of transparent display systems.

## Key findings

- The method effectively quantifies visual interference in HUDs.
- Saliency comparison helps optimize HUD visibility against complex backgrounds.
- The approach can be used to improve HUD design for safety and clarity.

## Abstract

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.