4 papers
Learning Flight Control Systems from Human Demonstrations and Real-Time Uncertainty-Informed Interventions
Prashant Ganesh, J. Humberto Ramos, Vinicius G. Goecks +4
This paper describes a methodology for learning flight control systems from human demonstrations and interventions while considering the estimated uncertainty in the learned models…
DOMINO: Domain-aware Loss for Deep Learning Calibration
Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari +5
Deep learning has achieved the state-of-the-art performance across medical imaging tasks; however, model calibration is often not considered. Uncalibrated models are potentially da…
Incremental cycle bases for cycle-based pose graph optimization
Brendon Forsgren, Kevin Brink, Prashant Ganesh +1
Pose graph optimization is a special case of the simultaneous localization and mapping problem where the only variables to be estimated are pose variables and the only measurements…
Information-Aware Guidance for Magnetic Anomaly based Navigation
J. Humberto Ramos, Jaejeong Shin, Kyle Volle +3
In the absence of an absolute positioning system, such as GPS, autonomous vehicles are subject to accumulation of positional error which can interfere with reliable performance. Im…