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 room’s 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.
Laser scanning is used everywhere to define the real-world and convert it to 3D point cloud data that can be used in plant design, architectural remodeling, accident reconstruction, crime scene reconstruction, etc.
The way the technology works today, you have to set up the tripod in a few different places with targets that can be matched by the software to get a complete picture of the area. It works pretty good, but consider one setup, one scan and you're done. Amazing.
Do I understand correctly? The laser emits a light beam which scatters, then the camera 'averages' the returned photons to memorize what is there. When something new is added, the returning photons take a different time of flight and thus the shape and position of the 'new' thing is derived and displayed. Depending on the acquisition speed of the camera/computer, this would have a great usefullness in any number of internal/external building security, military field surveylance, etc.. A really neat concept.
New technology solves old problem with better resolution! Seeing beyond the electromagnetic horizon. Reminds me of over the horizon Radar popular during the Cold War era. Different wavelengths of electromagnetic spectrum but somewhat similar idea. Reflect off of the ionisphere and listen for back scatter to provide a target echo.
bob from maine, the article gives links to two videos worth watching, one short and one more detailed, on how this technology works. Military surveillance and security are definitely some apps this could be used in, and probably lots more we haven't thought of yet that this will make possible.
Yes, this reminded me of the Lytro camera as well. The Lytro camera allows setting of the range of focus with the picture data, through software, after the picture is taken. This concept allows reconstruction of laser topology reflected back into the scene. Also reminds me of the laser-based window listening devices, what will they think of next?
More and more robots are becoming more autonomous all the time. Now Lockheed Martin has completed a demo mission with two completely autonomous robotic vehicles performing resupply, reconnaissance, surveillance, and target acquisition.
Producing high-quality end-production metal parts with additive manufacturing for applications like aerospace and medical requires very tightly controlled processes and materials. New standards and guidelines for machines and processes, materials, and printed parts are underway from bodies such as ASTM International.
Although plastics make up only about 11% of all US municipal solid waste, many are actually more energy-dense than coal. Converting these non-recycled plastics into energy with existing technologies could reduce US coal consumption, as well as boost domestic energy reserves, says a new study.
This year's Dupont-sponsored WardsAuto survey of automotive designers and other engineers shows lightweighting dominates the discussion. But which materials will help them meet the 2025 CAFE standards are not entirely clear.
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