AIAA Guidance, Navigation, and Control (GNC) Conference 2013
DOI: 10.2514/6.2013-5019
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Probabilistic Hazard Detection for Autonomous Safe Landing

Abstract: Future generation of landing craft will autonomously look at the surface during the terminal phase of powered descent and then, in real-time, choose and divert to a safe landing site in order to avoid hazards. Enabling technologies for such capability have been under development in recent years in the Autonomous Landing Hazard Avoidance Technology (ALHAT) project funded by NASA's Exploration Technology Development Program.ALHAT is a comprehensive system that spans the approach and landing events -from de-orbit… Show more

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Cited by 27 publications
(15 citation statements)
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“…17 The algorithm performed flawlessly in all truck, helicopter and Morpheus flight tests. The algorithm considers not only the lander hazard tolerances, but also the precision of the lidar sensor and the uncertainty in the navigation state when determining the safest landing sites.…”
Section: Iva Hds Performancementioning
confidence: 99%
“…17 The algorithm performed flawlessly in all truck, helicopter and Morpheus flight tests. The algorithm considers not only the lander hazard tolerances, but also the precision of the lidar sensor and the uncertainty in the navigation state when determining the safest landing sites.…”
Section: Iva Hds Performancementioning
confidence: 99%
“…4 The HDS was developed as a stand-alone, bolt-on system to detect available safe landing sites within a 100 m × 100 m region of the Lunar surface from 1 km slant range, 500 m altitude, in real-time and under any surface lighting conditions, and to subsequently provide hazard-relative position measurements to the Host Vehicle (HV)'s GN&C subsystem to improve landing accuracy. 5,6 The current generation HDS system was fully integrated with the Morpheus avionics and tested during a helicopter flight test campaign (Field Test #5) at the simulated lunar hazard field at KSC in December 2012. 7 These flight test demonstrated the full range of HDS operations -DEM generation, safe site detection, and hazard relative navigation -and provided rich datasets for performance evaluation and tuning.…”
Section: Introductionmentioning
confidence: 99%
“…[1][2][3] The project and teaming has been a highly-successful demonstration of multi-center collaboration within NASA, involving team members from NASA Johnson Space Center (JSC), NASA Jet Propulsion Laboratory (JPL), NASA Langley Research Center (LaRC), and many other supporting contractors and research centers, including the Charles Stark Draper Laboratory (CSDL) and the Johns Hopkins Applied Physics Laboratory (APL). The ALHAT team has developed several generations of prototypes sensors and algorithms that provide precision velocimetry and altimetry, Hazard Detection (HD) 4 and Hazard Relative Navigation (HRN), and Terrain Relative Navigation (TRN).…”
Section: Introductionmentioning
confidence: 99%
“…During the HDA phase, the ALHAT system generates an onboard Digital Elevation Model/Map (DEM) in real time of the local terrain, which is analyzed through sophisticated onboard Hazard Detection (HD) algorithms to determine safe landing sites, along with prominent terrain features. 4 The ILP itself may or may not be a high-probability safe site within the region of the DEM, so the onboard GN&C system assesses the ALHAT-provided safe sites and determines divert maneuvers to the desired safe location (i.e., the hazard avoidance part of HDA) based on a site safety ranking and fuel requirements.…”
mentioning
confidence: 99%