🤖 AI Summary
This study addresses the challenge of enabling safe and autonomous indoor navigation for visually impaired individuals in GPS-denied environments. The authors propose an indoor navigation system that integrates centimeter-level accurate ultra-wideband (UWB) positioning with the D* Lite dynamic path planning algorithm. By leveraging UWB for high-precision real-time localization and employing D* Lite to rapidly replan optimal paths in response to dynamic obstacles, the system significantly enhances both the responsiveness and robustness of navigation. Experimental results demonstrate that the proposed approach achieves low latency and high reliability, effectively supporting visually impaired users in navigating complex indoor spaces safely and flexibly.
📝 Abstract
This paper proposes an indoor navigation system for the visually impaired, leveraging Ultra-Wideband (UWB) positioning technology and the D*Lite path planning algorithm. The system utilizes UWB sensors to provide precision localization in GPS-denied environments. The D* Lite algorithm is integrated to optimize travel trajectories and ensure rapid route re-planning in the presence of dynamic obstacles. Experimental results demonstrate that the system operates reliably with low latency, providing safety and flexibility for users in complex indoor spaces.