Translating road signs in real time onto heads up displays

Authors

  • Jophy Lin Science & Engineering Magnet Program , Manalapan High School image/svg+xml
  • Sagarika Yagnyeshwaran Science & Engineering Magnet Program , Manalapan High School image/svg+xml

DOI:

https://doi.org/10.64804/9z440m72

Keywords:

text recognition, translation, heads up display, assistive technology, linear affine transformation, camera calibration, optics

Abstract

We propose a heads-up display (HUD) system that augments driver navigation and safety by translating road signs in real time. This is particularly relevant in regions where travelers frequently cross boundaries - both territorial and and linguistic - such as in Europe or Asia. This system enables drivers to quickly identify the critical information without having to divert their attention from the road.

This system utilizes a vision-language model capable of recognizing and translating road signs across a wide range of source languages into a user-selected target language. These translations are then overlaid onto the screen in front of the driver. For the development and demonstration purposes of this project, we are using a Meta Quest VR Headset

Downloads

Published

2026-06-16

Data Availability Statement

Code is available at https://github.com/devangel77b/427syagnyeshwaran-hud

How to Cite

Lin, J., & Yagnyeshwaran, S. (2026). Translating road signs in real time onto heads up displays. Journal of Science & Engineering, 2(8), 134. https://doi.org/10.64804/9z440m72

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