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Evaluation of the Simple Safe Site Selection (S4) Hazard Detection Algorithm Using Helicopter Field Test DataSmall scale terrain hazards, such as rocks, slopes, and craters, can pose significant risk to landing spacecraft and rover or payload deployment. Onboard Hazard Detection and Avoidance (HDA) systems scan and analyze the landing area for these hazards in real time during descent, and divert the spacecraft to the safest touchdown site. The computationally efficient Simple Safe Site Selection (S4) algorithm combined with a flash LIDAR is an HDA system geared towards small robotic spacecraft. Rather than creating and analyzing a digital elevation map (DEM) from potentially many overlapping range images, S4 operates directly on a single flash LIDAR image. Extending prior work that has analyzed S4 performance for Mars landing using extensive simulations, this paper evaluates S4 performance using actual flash LIDAR images of an artificial hazard field acquired during a 2014 helicopter field test in Death Valley, CA. In particular, we describe LIDAR characterization and calibration, creation of ground truth elevation and safety maps, creation of ground truth sensor poses, actual S4 algorithm processing, and performance analysis. The results show that the safety cost images produced by S4 are remarkably close to the ground truth safety map (computed offline by an HDA algorithm developed under the Autonomous Landing and Hazard Avoidance (ALHAT) project) at significantly reduced computational cost, confirming S4 as a viable candidate algorithm for onboard spacecraft HDA.
Document ID
20190026883
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
Authors
Luna, Michael E.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Almeida, Eduardo
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Spiers, Gary
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Villalpando, Carlos Y.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Johnson, Andrew E.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Trawny, Nikolas
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
July 1, 2019
Publication Date
January 9, 2017
Subject Category
Lunar And Planetary Science And Exploration
Report/Patent Number
JPL-CL-16-5852
Meeting Information
Meeting: AIAA SciTech 2017
Location: Grapevine, TX
Country: United States
Start Date: January 9, 2017
End Date: January 13, 2017
Sponsors: American Institute of Aeronautics and Astronautics (AIAA)
Distribution Limits
Public
Copyright
Other

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