Paper
28 October 1996 Scannerless terrain mapper
John T. Sackos, Bart D. Bradley, Carl F. Diegert, Paul W. Ma, Charles K. Gary
Author Affiliations +
Abstract
NASA-Ames Research Center, in collaboration with Sandia National Laboratories, is developing a scannerless terrain mapper (STM) for autonomous vehicle guidance through the use of virtual reality. The STM sensor is based on an innovative imaging optical radar technology that is being developed by Sandia National Laboratories. The sensor uses active flood- light scene illumination and an image intensified CCD camera receiver to rapidly produce and record very high quality range imagery of observed scenes. The STM is an all solid- state device (containing no moving parts) and offers significant size, performance, reliability, simplicity, and affordability advantages over other types of 3-D sensor technologies, such as scanned laser radar, stereo vision, and structured lighting. The sensor is based on low cost, commercially available hardware, and is very well suited for affordable application to a wide variety of military and commercial uses, including: munition guidance, target recognition, robotic vision, automated inspection, driver enhanced vision, collision avoidance, site security and monitoring, and facility surveying. This paper reviews the sensor technology, discusses NASA's terrain mapping applications, and presents results from the initial testing of the sensor at NASA's planetary landscape simulator.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John T. Sackos, Bart D. Bradley, Carl F. Diegert, Paul W. Ma, and Charles K. Gary "Scannerless terrain mapper", Proc. SPIE 2810, Space Sciencecraft Control and Tracking in the New Millennium, (28 October 1996); https://doi.org/10.1117/12.255133
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Sensors

Cameras

Imaging systems

LIDAR

Image sensors

Range imaging

Image processing

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