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1 to 10 of 21 Results
A Sampling Based Approach to Robust Planning for a Planetary Lander
Oct 23, 2022
Steve Chien, 2022, "A Sampling Based Approach to Robust Planning for a Planetary Lander", https://doi.org/10.48577/jpl.M2ZPA1, IROS 2022 Kyoto, JPL Open Repository
Planning for autonomous operation in unknown environments poses a number of technical challenges. The agent must ensure robustness to unknown phenomena, un- predictable variation in execution, and uncertain resources, all while maximizing its objective. These challenges are ex- a...
Temporal Multimodal Multivariate Learning
Aug 14, 2022
Hui Su, 2022, "Temporal Multimodal Multivariate Learning", https://doi.org/10.48577/jpl.P7TEJ2, KDD ’22, JPL Open Repository
Unobserved heterogeneity and randomness of the data have shown multiple modes in probability distribution in each location in a geographic region. A huge collection of multiple sources of granular microscopic data in each location may result in the loss of multivariate informatio...
An Efficient Approach to Data Transfer Scheduling for Long Range Space Exploration
Jul 23, 2022
Steve Chien, 2022, "An Efficient Approach to Data Transfer Scheduling for Long Range Space Exploration", https://doi.org/10.48577/jpl.RPUVFT, 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022), JPL Open Repository
Long range space missions, such as Rosetta/Philae, require robust plans of data-acquisition activities and of the resulting data transfers. In this paper we revisit the problem of assigning priorities to data transfers in order to maximize safety margin of onboard memory. We prop...
DEMONSTRATING A NEW FLOOD OBSERVING STRATEGY ON THE NOS TESTBED
Jul 17, 2022
Benjamin Smith, 2022, "DEMONSTRATING A NEW FLOOD OBSERVING STRATEGY ON THE NOS TESTBED", https://doi.org/10.48577/jpl.ZGKFIO, IEEE IGARSS 2022 (Virtual/In-Person Hybrid), JPL Open Repository
No abstract available.
Benchmarking Deep Learning Inference of Remote Sensing Imagery on the Qualcomm Snapdragon and Intel Movidius Myriad X Processors Onboard the International Space Station
Jul 17, 2022
Jason Swope, 2022, "Benchmarking Deep Learning Inference of Remote Sensing Imagery on the Qualcomm Snapdragon and Intel Movidius Myriad X Processors Onboard the International Space Station", https://doi.org/10.48577/jpl.MPC5FG, IEEE IGARSS 2022 (Virtual/In-Person Hybrid), JPL Open Repository
No abstract available.
AUTONOMOUS CAPABILITIES AND COMMAND AND DATA HANDLING DESIGN FOR THE SMART REMOTE SENSING OF CLOUD ICE
Jul 17, 2022
Mehmet Ogut, 2022, "AUTONOMOUS CAPABILITIES AND COMMAND AND DATA HANDLING DESIGN FOR THE SMART REMOTE SENSING OF CLOUD ICE", https://doi.org/10.48577/jpl.CYSTJQ, IEEE IGARSS 2022 (Virtual/In-Person Hybrid), JPL Open Repository
No abstract available.
Dynamic Targeting for Improved Tracking of Storm Features
Jul 17, 2022
Alberto Candela Garza, 2022, "Dynamic Targeting for Improved Tracking of Storm Features", https://doi.org/10.48577/jpl.ZKIXNV, IEEE IGARSS 2022 (Virtual/In-Person Hybrid), JPL Open Repository
No abstract available.
BENCHMARKING REMOTE SENSING IMAGE PROCESSING AND ANALYSIS ON THE SNAPDRAGON PROCESSOR ONBOARD THE INTERNATIONAL SPACE STATION
Jul 17, 2022
Jason Swope, 2022, "BENCHMARKING REMOTE SENSING IMAGE PROCESSING AND ANALYSIS ON THE SNAPDRAGON PROCESSOR ONBOARD THE INTERNATIONAL SPACE STATION", https://doi.org/10.48577/jpl.QWWZMH, IEEE IGARSS 2022 (Virtual/In-Person Hybrid), JPL Open Repository
No abstract available.
Benchmarking Remote Sensing Image Processing and Analysis on the Snapdragon Processor Onboard the International Space Station
Jul 17, 2022
Jason Swope, 2022, "Benchmarking Remote Sensing Image Processing and Analysis on the Snapdragon Processor Onboard the International Space Station", https://doi.org/10.48577/jpl.USZGLU, IEEE IGARSS 2022 (Virtual/In-Person Hybrid), JPL Open Repository
Future space missions will process and analyze imagery onboard placing greater demands on flight computing. Traditional flight hardware provides modest compute especially compared to laptop and desktop computers. A new generation of commercial off the shelf (COTS) processors, suc...
Benchmarking Deep Learning Inference of Remote Sensing Imagery on the Qualcomm Snapdragon and Intel Movidius Myriad X Processors Onboard the International Space Station
Jul 17, 2022
Jason Swope, 2022, "Benchmarking Deep Learning Inference of Remote Sensing Imagery on the Qualcomm Snapdragon and Intel Movidius Myriad X Processors Onboard the International Space Station", https://doi.org/10.48577/jpl.WPXENU, IEEE IGARSS 2022 (Virtual/In-Person Hybrid), JPL Open Repository
As space missions become more distant, the need for onboard analysis and image recognition becomes even more important. Deep learning is state of the art in computer vision [1], so our goal is to demonstrate onboard inference with these algorithms. Traditional flight hardware pro...
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