A LiDAR based proximity sensing system for the visually impaired spectrum

Abstract

A low-cost LiDAR embedded proximity sensing system is conceptualized and prototyped targeting the needs of the Blind and Deaf-Blind. The efficacy of low-cost LiDAR is studied and its applicability is demonstrated using a single microcontroller. Servo based panning of the LiDAR is integrated enabling a 2D topographical capture, which is mapped to the brain by a novel audio balance technique. For the deaf-blind, an alternative haptic glove is devised with haptic mapping. Finally, an active in-motion (AIM) guidance is proposed by harvesting the data dynamically and providing the user a directional guidance actively.