Paper
14 May 2012 Landing zone determination using video rate point cloud data
Christopher Rodgers, Javier Méndez
Author Affiliations +
Abstract
LADAR technology is used in remote sensing to monitor many parameters like particles and gases suspended in the atmosphere, measure velocity, 3-D mapping, etc. Its application for 3-D mapping is of great interest in the geospatial community. A LADAR system is capable of scanning the surface of an object by forming thousands or millions of points in the 3-D space. New advances in LADAR technology have been pushing towards 4-D data (x, y, z, and time). These systems are capable of operating in the same way as a video camera up to 30 frames per second. Sampling a scene in the 4-D domain is very attractive for military and civilian applications. This work presents an algorithm capable of using the 4-D measurements recorded by a LADAR system to generate a 3-D video. The algorithm provides a feature extraction tool that is used to identify and rank safe landing zones within the 3-D video point cloud dataset. We use parameters such as terrain irregularities, terrain slope or gradients, and distances from vertical obstructions to identify and rank safe landing zones. Other additional mission specific requirements can be included to further filter and rank safe landing zones.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christopher Rodgers and Javier Méndez "Landing zone determination using video rate point cloud data", Proc. SPIE 8379, Laser Radar Technology and Applications XVII, 83790A (14 May 2012); https://doi.org/10.1117/12.919092
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Cited by 1 scholarly publication.
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KEYWORDS
Clouds

LIDAR

Video

Feature extraction

Global Positioning System

Unmanned aerial vehicles

Cameras

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