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Terrain-Based Localization and Mapping for Autonomous Underwater Vehicles using Particle Filters with Marine Gravity Anomalies
Parth Pasnani,
Mae L. Seto
Dentistry
Research output
:
Contribution to journal
›
Article
›
peer-review
16
Citations (Scopus)
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Dive into the research topics of 'Terrain-Based Localization and Mapping for Autonomous Underwater Vehicles using Particle Filters with Marine Gravity Anomalies'. Together they form a unique fingerprint.
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Keyphrases
Anomaly Localization
50%
Autonomous Underwater Vehicle
100%
Goal Location
50%
Gravity Anomaly
100%
Histogram Features
50%
Local Anomalies
50%
Localization Error
50%
Localization Parameters
50%
Marine Gravity Anomaly
100%
Measurement Variability
50%
Mission Success
50%
Particle Filter
100%
Path Planning
50%
Simultaneous Localization and Mapping
50%
Variability Parameters
50%
Vector Field Histogram
50%
Engineering
Autonomous Underwater Vehicle
100%
Histogram
33%
Localization Error
33%
Mile (Nautical)
33%
Mission Success
33%
Particle Filter
100%
Path Planning
33%
Vector Field
33%
Earth and Planetary Sciences
Autonomous Underwater Vehicle
100%
Gravity Anomaly
100%
Histogram
25%
Supersonic Low Altitude Missile
100%
Trajectory Planning
25%
Physics
Gravity Anomalies
100%