Ghosts in the Point Clouds: De-glaring LiDAR in the Transient Domain 文章

ArXiv CS.CV2026-05-26NEWSen作者: Avery Gump, Connor Henley, Sungjin Cheong, Akarsh Prabhakara, Mohit Gupta

摘要

arXiv:2605.24753v1 Announce Type: new Abstract: Modern LiDARs are rapidly transitioning from bulky, mechanically scanned systems to ultra-compact, low-cost, solid-state arrays. This miniaturization-while enabling scalability, affordability, and camera-like data structures-introduces a new and severe failure mode: internal-multipath glare. When light from a bright or retroreflective surface reflects and scatters within the LiDAR, light that should reach a single pixel spreads across the pixel array. The resulting artifacts create phantom objects, obscure real ones, and produce safety-critical "ghosts in the point clouds." This paper introduces a physically grounded sensing model and algorithmic techniques for addressing this effect. We show that internal glare can be represented as a linear, scene-independent operator-the Transient Glare Spread Function (TGSF)-acting on the transient measurements.

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