MIT News March 20, 2018
Using a single photon avalanche diode camera that time-tags individual detected photons, researchers at MIT have demonstrated a technique that recovers reflectance and depth of a scene obstructed by dense, dynamic, and heterogeneous fog. They developed a probabilistic computational framework to estimate the fog properties from the measurement itself, and distinguished between background photons reflected from the fog and signal photons reflected from the target. In laboratory experiments the system was able to resolve images of objects and gauge their depth at a range of 57 centimeters. The system calculates a different gamma distribution for each of the 1,024 pixels in the sensor. That’s why it’s able to handle the variations in fog density that foiled earlier systems: It can deal with circumstances in which each pixel sees a different type of fog… read more. Open Access TECHNICAL ARTICLE