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C65 - AI-Sight: mmWave Radar-Based SLAM for Privacy-Preserving Navigation Assistance for Blind and Low-Vision Users
People who are blind or have low vision (BLV) face daily challenges navigating unfamiliar or complex environments safely and independently.
C65 - AI-Sight: mmWave Radar-Based SLAM for Privacy-Preserving Navigation Assistance for Blind and Low-Vision Users
Mentor: Vaskar Raychoudhury, Ph.D.
People who are blind or have low vision (BLV) face daily challenges navigating unfamiliar or complex environments safely and independently. Existing camera-based systems often fail due to privacy concerns, poor lighting, or occlusions. mmWave radar addresses these due to their cost effectiveness and ability to be used in low-light conditions. By utilizing an Intel RealSense camera during training, highresolution RGB-D data can be cross-referenced with radar point clouds to automate ground-truth labeling. Radar signals have the ability to be processed into situational awareness maps that interface with a Large Language Model (LLM).