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

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

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

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

在 arXiv cs.CV 阅读 →

• LiDAR
• Motion Induced Sampling
• Siddharth Somasundaram

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