Uas

Learning-based Minimally-Sensed Fault-Tolerant Adaptive Flight Control

This paper presents a novel sparse failure identification method along with rapid control reconstitution using deep neural networks for detecting and compensating for motor …

UAV-Borne Bistatic Sar and Insar Experiments in Support of STV and SDC Target Observables

The ongoing Distributed Aperture Radar Tomographic Sensors (DARTS) project at NASA Jet Propulsion Laboratory aims to mature and demonstrate multi-static SAR measurements for …

UAS Flight Testing in Support of Research for Academia: Lessons and Experiences from the Field

Uninhabited Aerial Vehicles (UAVs) and miniaturized high-performance computing have enabled flight testing to become incredibly accessible, changing the status quo from an …

Satellite Formation Flying for Surface Topography and Vegetation (STV) Mapping: The Distributed Aperture Radar Tomographic Sensors (DARTS)

The 2017-2027 Decadal Survey recommended the global mapping of surface topography and three-dimensional vegetation structure (STV) as one of the high-priority incubator …

Experiments with Small UAS to Support SAR Tomographic Mission Formulation

Distributed Aperture RADAR Tomographic Sensors (DARTS) to Map Surface Topography and Vegetation Structure

Development of Ultra-Wideband Software Defined Radar Testbed to support SAR Tomographic Mission Formulation

DARTS

Distributed Aperture RADAR Tomographic Sensors for mapping the surface topography and vegetation structures of planet Earth

Distributed Aperture Radar Tomographic Sensors to map Changing Surface Topography and Vegetation Structure

Development and Deployment of an Autonomous UAV-Borne Gas and Particulate Sample Capture System for Fumarole Sampling

Volcanoes are one of the great forces of the natural world. The gases they release can reveal information about the world below us, from the structure of the planet, to the risk of …