“Our system uses video of how light reflects on the ground to be able to detect moving objects around the corner from the camera,” Katie Bouman, a PhD from MIT CSAIL who worked on the project, told Digital Trends. “For example, imagine walking down an L-shaped hallway, and there’s a wall between you and some objects around the corner. Those objects reflect a very small amount of light on the ground in front of you, which is referred to as the ‘penumbra.’ Because different slices of the hidden scene are being reflected from different points on the ground, you can recover and interpret how light is changing in the hidden scene over time.”
MIT’s system uses video of that penumbra to create a series of one-dimensional images which cumulatively reveal information about things that are moving around the corner. To be clear: The technology isn’t able to see identifying details of particular objects, just the fact that there are moving objects. However, it could still be extraordinarily useful.
“The ability to see around obstructions would be valuable for many tasks, including emergency response and self-driving cars,” Bouman continued. “For instance, someday we could use this sort of technology to alert drivers to pedestrians who are about to dart out into the road. There’s also the possibility of using it in hostage situations [or] in search-and-rescue, like when firefighters are trying to find people in burning buildings.”
Next up, the lab hopes to get this technology working for cameras that are attached to moving objects (kind of a vital step when you’re dealing with car technology!), as well as making it sufficiently robust to account for light conditions that are constantly changing. The tech is unlikely to be ready for commercialization any time soon, but there’s no reason why CornerCameras — as MIT is calling the technology — couldn’t one day be as integral a part of our cars as parking sensors.
