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NASA Lidar Team Wins Award

photo of a member of the NASA Lidar Team

Like a laser-based version of sonar, lidar and its use in space exploration is not new. But the system Yang and Chen’s NASA lidar team have developed — formally the Concurrent Artificially-intelligent Spectrometry and Adaptive Lidar System (CASALS) — can produce higher resolution data within a smaller space, significantly increasing efficiency compared to current models.

For NASA by Avery Truman.

The true revolution in CASALS is a unique combination of related technologies, such as highly efficient laser and receiver designs, wavelength-based, non-mechanical beam steering, multispectral imaging, and the incorporation of artificial intelligence to allow the instrument to make its own decisions while in orbit, instead of waiting for direction from human controllers on the ground.

“Existing 3D-imaging lidars struggle to provide the 2-inch resolution needed by guidance, navigation and control technologies to ensure precise and safe landings essential for future robotic and human exploration missions,” team engineer Jeffrey Chen said in an earlier interview. “Such a system requires 3D hazard-detection lidar and a navigation doppler lidar, and no existing system can perform both functions.”

The CASALS lidar is being developed to study land and ice topography, coastline changes, and other Earth science topics. Future applications in solar system science beyond our planet are already in the works, including space navigation improvements and high-resolution lunar mapping for NASA’s Artemis campaign to return astronauts to the Moon.

An effective and compact lidar system like CASALS could also map rocky planets like Venus or Mars.

For the complete article on the NASA lidar award winning team CLICK HERE.

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