Bathymetric lidars—devices that employ powerful lasers to scan beneath the water's surface—are currently used primarily to map coastal waters. At nearly 600 lb, the systems are large and heavy, and require piloted aircraft to carry them.
A team at the Georgia Tech Research Institute (GTRI) has designed a new approach that could lead to bathymetric lidars that are much smaller and more efficient than current systems. The new technology, developed under the Active Electro-Optical Intelligence, Surveillance, and Reconnaissance (AEO-ISR) project, would let modest-sized UAVs carry bathymetric lidars, lowering costs substantially.
Unlike currently available systems, AEO-ISR technology is designed to gather and transmit data in real time, allowing it to produce high-resolution 3-D undersea imagery with greater speed, accuracy, and usability, according to GTRI.
These advanced capabilities could support a range of military uses such as anti-mine and anti-submarine intelligence and nautical charting, as well as civilian mapping tasks. In addition, GTRI’s new lidar could probe forested areas to detect objects under thick canopies.
According to Grady Tuell, a principal research scientist leading the work at GTRI, "Lidar has completely revolutionized the way that ISR is done in the military—and also the way that precision mapping is done in the commercial world."
Tuell and his team have developed a new GTRI lightweight lidar, a prototype that has successfully demonstrated AEO-ISR techniques in the laboratory. The team has also completed a design for a deployable mid-size bathymetric device that is less than half the size and weight of current systems and needs half the electric power.
Measuring laser light
To simulate the movement of an actual aircraft, the prototype was "flown" over a laboratory pool. To do this, the researchers installed the lidar onto a gantry above a large water tank in Georgia Tech’s Woodruff School of Mechanical Engineering and then operated it in a manner that simulates flight.
The lidar utilizes a high-power green laser that can penetrate water to considerable depths. Firing a laser beam every 10,000th of a second, the proxy aircraft allowed the team to study the best methods for producing accurate images of objects on the floor of the pool.
The ultimate goal is to obtain accurate reflectance from the sea floor, but the presence of water makes that difficult. To capture good images, the GTRI lightweight lidar must make a series of adjustments that let it measure reflected laser beams as if there were no water present.
One challenge is that when a tightly focused light beam such as a laser hits water, it loses speed and bends, or refracts. Due to changes in the water's surface, the angle of refraction varies constantly, and these changes in the refracted angle must be accounted for when computing the path of the light.
Another challenge is that the photons in the laser beam scatter in the water, like light from a car headlight hitting fog. The amount of this scattering depends on the water’s turbidity, which refers to the number of particles suspended in it. In addition, the water absorbs some of the light.
Because of these two effects, a lidar system receives back only a tiny signal when its laser beam bounces off an underwater surface such as the sea floor. The signal-conditioning and sensor-processing capabilities of the lightweight lidar must be sophisticated enough to detect that small returning signal in an overall sea and air environment that is very noisy—meaning that it's filled with extraneous signals that interfere with the desired data.
Improving critical techniques
The ultimate product of a bathymetric lidar is a 3-D point cloud that describes the seafloor at high spatial resolution. Users of these data need to know the accuracy of each point.
GTRI’s researchers have devised a new approach for accuracy assessment called total propagated uncertainty (TPU). Using statistics, calculus, and linear algebra, the TPU technique propagates errors from the individual measurements—navigation, distance, and refraction angle—to estimate the accuracy of sea-floor measurements.
The GTRI team claims to be the first to demonstrate bathymetric lidar coordinate computation and TPU estimates in real time. To achieve the necessary processing speed, the team employed a mixed-mode computing environment composed of FPGAs, along with central-processing and graphics-processing units.
Each time a laser is fired it takes only a few nanoseconds for the beam to reach the bottom of the pool and bounce back, explained Tuell. Once the beam returns, the lidar's high-speed computer digitizes the returned beam and computes ranges, coordinates, and TPU before the next shot of the laser.
"In our laboratory tests, we're computing about 37 million points per second—which is exceptionally fast for a lidar system and gives us a great deal of information about the sea floor in a very short period of time," said Tuell. "The key is we're using FPGAs to do the necessary signal conditioning and signal processing, and we're doing it at exactly the time that we convert from an analog signal to a digital signal."
In addition to developing the proof-of-concept lidar prototype, the GTRI team has produced a CAD design for a deployable bathymetric device that is half the size and weight of current devices and has lower power needs. The immediate goal is to field such a mid-size device on a larger UAV such as an autonomous helicopter.
The longer-term aim is to use AEO-ISR technology to develop bathymetric lidars that could fly on small UAVs with payloads of 30 lb or less. To help these lidars deliver maritime surveillance and mapping data in real time, most of the necessary signal processing would be done on the aircraft and only essential data would be transmitted to ground stations.
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