MR.NAVI: Mixed-Reality Navigation Assistant for the Visually Impaired

Over 43 million people worldwide live with severe visual impairment, facing significant challenges in navigating unfamiliar environments. We presentthis http URL, a mixed reality system that enhances spatial awareness for visually impaired users through real-time scene understanding and intuitive audio feedback. Our system combines computer vision algorithms for object detection and depth estimation with natural language processing to provide contextual scene descriptions, proactive collision avoidance, and navigation instructions. The distributed architecture processes sensor data through MobileNet for object detection and employs RANSAC-based floor detection with DBSCAN clustering for obstacle avoidance. Integration with public transit APIs enables navigation with public transportation directions. Through our experiments with user studies, we evaluated both scene description and navigation functionalities in unfamiliar environments, showing promising usability and effectiveness.

@article{pfitzer2025_2506.05369,
  title={ MR.NAVI: Mixed-Reality Navigation Assistant for the Visually Impaired },
  author={ Nicolas Pfitzer and Yifan Zhou and Marco Poggensee and Defne Kurtulus and Bessie Dominguez-Dager and Mihai Dusmanu and Marc Pollefeys and Zuria Bauer },
  journal={arXiv preprint arXiv:2506.05369},
  year={ 2025 }
}