Real-Time LiDAR-Based Stair and Elevation Change Detection on Consumer Mobile Hardware: A Single-User Study
This paper presents and evaluates a computationally efficient, real-time algorithm running on consumer LiDAR-equipped smartphones that achieves a 92.5% detection rate for stairs and elevation changes with zero false positives, demonstrating the viability of low-cost, on-device assistive navigation tools for the blind and visually impaired despite inherent geometric limitations in descending approaches.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
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