The detector's multi-bounce reflection data is used to reconstruct the shape of objects that are visible from the position of the wall, but not from the position of the camera. The duration of each laser burst is so short that the system can gauge how far the bursts have traveled by measuring the time it takes them to reach the detector. The Conar system compares the different times at which the returning light arrives at different parts of the detector, uses multi-path analysis to crunch the data, and constructs an image of the rooms geometry. (You can watch a video lecture discussing the technology in more detail here.)
Conar's technology has initially produced recognizable 3D images of a wooden figurine and images of foam cutouts that are placed outside the femtosecond laser camera's line of sight.
Eventually, the researchers expect the technology could lead to imaging systems that help emergency responders evaluate dangerous or unknown environments, or collision avoidance systems for vehicles and vehicle navigation systems that can negotiate blind turns. Other possible applications include robot navigation systems for industrial environments and instruments that can investigate conditions in cramped spaces inside machinery with moving parts.