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Consumer LiDAR can now image hidden objects using motion-induced sampling

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new method for imaging objects that are not directly in a device's line of sight, utilizing consumer-grade LiDAR sensors. This technique, called Motion Induced Sampling, overcomes limitations of low-power, low-resolution sensors by fusing multiple frames to reconstruct hidden 3D shapes. The approach enables capabilities like tracking and localization using these unseen objects, making advanced non-line-of-sight imaging accessible with affordable, off-the-shelf hardware. AI

IMPACT Democratizes non-line-of-sight imaging, potentially enabling new applications in robotics and augmented reality.

RANK_REASON Academic paper detailing a new method for imaging hidden objects using consumer LiDAR. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Consumer LiDAR can now image hidden objects using motion-induced sampling

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Academic paper detailing a new method for imaging hidden objects using consumer LiDAR. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Ramesh Raskar ·

    Imaging Hidden Objects with Consumer LiDAR via Motion Induced Sampling

    LiDARs are being increasingly deployed for consumer imaging in handheld, wearable, and robotic applications. These sensors can capture the time-of-flight of light at picosecond resolution, which in principle, enables them to capture information about objects hidden from their fie…

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