Science fiction often imagines machines that can “see” what human eyes cannot. A new Nature paper published on May 20, 2026 brings that idea much closer to reality. In “Imaging hidden objects with consumer LiDAR via motion-induced sampling,” researchers from MIT and Dartmouth show that smartphone-grade LiDAR can recover information about objects hidden around corners, a technique known as non-line-of-sight imaging. Instead of relying on expensive laboratory equipment, they used low-cost, off-the-shelf consumer hardware. (nature.com)
The basic idea is elegant. LiDAR measures the time it takes for light to travel out and back. According to the paper, consumer LiDAR sensors can measure time-of-flight at picosecond resolution. When a laser pulse hits a visible wall, most of the light returns directly, but some scatters around a corner, reaches a hidden object, and comes back indirectly. That faint, messy signal contains clues about the hidden object’s shape and position. The difficulty is that consumer devices have low laser power and low spatial resolution, and both the camera and the object may be moving. (nature.com)
The researchers’ key breakthrough was to treat motion not simply as noise, but as useful information. Their “multi-frame fusion” method combines many weak measurements, while a “motion-induced aperture sampling” model unifies the effects of object shape, object motion, and camera motion. With this approach, they demonstrated 3D reconstruction, tracking of one or more hidden objects, and even camera localization using objects that remain outside direct view. Their project page also reports real-time hidden-object tracking at 30 Hz. (nature.com)
Why does this matter? Because LiDAR is no longer rare. The researchers note that consumer LiDAR already appears in devices such as the iPhone Pro and Apple Vision Pro, and Apple’s current technical specifications list LiDAR scanners in products including Vision Pro, iPad Pro, and iPhone 17 Pro. In other words, hidden-object imaging is moving from a specialized optics lab toward everyday technology. It is not magic, and it is certainly not X-ray vision, but it may one day help robots avoid collisions, improve indoor navigation, and make augmented reality far more aware of the world just out of sight. (sidsoma.com)








