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Weathering the Storm: Unmanned Aircraft Systems in the Maritime, Atmospheric and Polar Environments
Remotely piloted aircraft (RPA) have the potential to revolutionize local to regional data collection for geophysicists as platform and payload size decrease while aircraft capabilities increase. In particular, data from RPAs combine high-resolution imagery available from low flight elevations with comprehensive areal coverage, unattainable from ground investigations and difficult to acquire from manned aircraft due to budgetary and logistical costs. Low flight elevations are particularly important for detecting signals that decay exponentially with distance, such as electromagnetic fields. Onboard data processing coupled with high-bandwidth telemetry open up opportunities for real-time and near real-time data processing, producing more efficient flight plans through the use of payload-directed flight, machine learning and autonomous systems. Such applications not only strive to enhance data collection, but also enable novel sensing modalities and temporal resolution. NASAs Airborne Science Program has been refining the capabilities and applications of RPA in support of satellite calibration and data product validation for several decades. In this paper, we describe current platforms, payloads, and onboard data systems available to the research community. Case studies include Fluid Lensing for littoral zone 3D mapping, structure from motion for terrestrial 3D multispectral imaging, and airborne magnetometry on medium and small RPAs.
Unmanned Aircraft Systems Traffic Management (UTM) Concepts and Architecture Overview
Overview of UTM Concepts and Architecture presented to JARUS as they discuss UAS safety.
Unmanned Aircraft Systems Traffic Management (UTM)
UTM is an 'air traffic management' ecosystem for uncontrolled operations. UTM utilizes industry's ability to supply services under FAA's regulatory authority where these services do not exist. UTM development will ultimately enable the management of large scale, low-altitude UAS operations. Operational concept will address beyond visual line of sight UAS operations under 400 ft. AGL. Information architecture, data exchange protocols, software functions. Roles/responsibilities of FAA and operators. Performance requirements.
Unmanned Aircraft Systems (UAS) Integration in the National Airspace System (NAS) Project - Systems Integration and Operationalization (SIO) Demonstration
The UAS-NAS Project hosted a Systems Integration Operationalization (SIO) Industry Day for the SIO Request for Information (RFI) on November 30, 2017 in San Diego, California. This presentation is being presented to the same group as a follow up regarding the progress that the UAS-NAS project has made on the SIO RFI. The presentation will be virtual with a teleconference
Unmanned Aircraft Systems Traffic Management (UTM): Conflict Mitigation Approach
This is a presentation that describes the UAS Traffic Management Approach to an alternate means of compliance with 91.113 right of way regulations. UTM is an "air traffic management" ecosystem for uncontrolled operations.
Unmanned Aircraft System Traffic Management (UTM) Project
This presentation is intended to explain the background and status of the UAS Traffic Management (UTM) project and the efforts underway in integrating public safety operations into the ecosystem. The core priniciples of the concept are explained and the architectural framework is presented as a means of providing the intended audience with an overall understanding of UTM and how the future management of low altitude airspace is envisioned for small UAS use. Within the overall UTM context, the work done in developing the concept to account for public safety UAS applications is presented with examples of work done in the area to date.
Unmanned Aircraft Systems (UAS) Integration in the National Airspace System (NAS) Project
Systems Integration and Operationalization (SIO) Scope and Objectives, schedule, partnership requirements overview, etc. Kick off topics that will guide the course of the SIO partnership between NASA and PAE ISR.
Unmanned Aircraft System Traffic Management (UTM) Research Transition Team (RTT) Concept Working Group - Concept & Use Cases Package #2 Addendum: Technical Capability Level 3
This document is a product of the joint NASA and FAA Research Transition Team's (RTT) Concept Working Group (CWG) as part of the UAS Traffic Management (UTM) project. The scope of the document covers Technical Capability Level (TCL) 3 of the UTM research path and presents the 1) Terms and Definitions, 2) Foundational Principles, 3) Concept Narratives, 4) Use Cases, 5) Operational Views (OVs), and 6) Roles and Responsibilities of actors interacting within a TCL3 environment. The document includes additional use cases to accompany the RTT CWG Package #2 document.
Unmanned Aircraft Systems (UAS) Integration in the National Airspace (NAS) Project
This presentation is designed as outreach for outside organizations to be aware of the work that the UAS-NAS project has done or is ongoing and get a high level understanding of what is planned for integrating UAS into the NAS.
Unmanned Aircraft Systems (UAS) Integration in the National Airspace System (NAS) Project FY18 Annual Review
This is a redacted version of the 2018 annual report presented to NASA shareholders for general release.
Technical Capability Level 2 Unmanned Aircraft System Traffic Management (UTM) Flight Demonstration: Description and Analysis
NASA's UAS Traffic Management (UTM) project concluded its second flight demonstration activity in late October 2016. This activity demonstrated the capabilities and functionality incorporated into its Technical Capability Level 2 (TCL2) concept, which envisions future operations that are low density, capable of being performed over sparsely populated areas, and allow for a concurrent mix of longer duration, beyond visual-line-of-sight flights and shorter flights within visual-line-of-sight (VLOS). To incorporate these features into a flight demonstration, a scenario-based approach was taken to address different aspects of the TCL2 environment and to meet defined objectives. This paper will describe elements of how the flight activity was conducted and present analyses regarding UTM operations, system messages, and alerting as they pertained to meeting the demonstration objectives and shedding light on research questions and lessons learned.NASA was able to successfully demonstrate complex UTMoperations in a TCL 2 environment in collaboration withindustry partners and the Reno-Stead Airport UAS test range.A scenario-based approach to the demonstration provided arelevant means through which the key elements and objectivesof the test could be captured. Although issues were identifiedthrough the testing and feedback of test participants, theoverall results were in line with the overall UTM objective ofsafely enabling large-scale UAS operations in low altitudeairspace.
Unmanned Aircraft Systems Demand and Economic Benefit Forecast Study
This study was performed on behalf of the NASA Aeronautics Research Mission Directorate (ARMD) using an analytical tool to calculate projections for the demand and economic benefit from operating civil and commercial UAS.
Unmanned Aircraft Systems (UAS) Integration in the National Airspace System (NAS) Project: Ground Based Detect and Avoid
NASA is sponsoring research and data collection with the FAA UAS Test Sites pertaining to sensor and integration of Ground Based Detect and Avoid (GBDAA). This talk will highlight the objectives of the working being conducted and data collection plans.
Scenario Complexity for Unmanned Aircraft System Traffic
This work introduces an approach to estimate the complexity of a low-altitude air traffic scenario involving multiple UASs using mathematical programming. Given a set of multi-point UAS flight trajectories, vehicle dynamics, and a conflict resolution algorithm, an abstract model is developed such that it can be solved quickly using a mathematical programming optimization software without running high-fidelity simulations that can be computationally expensive and may not suit real-time applications. In the abstract model, each vehicle is represented by a time-varied vector associated with position, speed, and heading information. The total extra distance that aircraft need to divert from their original routes to avoid collisions is computed and used to setup a quadratic programming formula. The metrics including the number of conflicts and extra distances travelled by all vehicles are then utilized to estimate the complexity of a given UAS flight scenario. Results and verification against high-fidelity simulations will be provided in the final draft.
Flight Demonstration of Unmanned Aircraft System (UAS) Traffic Management (UTM) at Technical Capability Level 3
No abstract available