Small unmanned aircraft system (sUAS) categorization framework for low altitude traffic services

Ren, Liling; Castillo-Effen, Mauricio; Han, Yu; Johnson, Eric S.; Yoon, Yongeun; Takuma, Nakamura; Ippolito, Corey A.

doi:10.1109/dasc.2017.8101996

Cited by 15 publications

(4 citation statements)

References 3 publications

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“…(1) e size of the fleet is different and the types are diverse. e operating fleet usually includes helicopters, fixed wings, and multirotor operating fleet [18].…”

Section: Sms Framework Analysis Of Uavmentioning

confidence: 99%

Construction and Research of Safety Management System for Machine Patrol Operation

Zhang

Guo

Liao

2021

Mathematical Problems in Engineering

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Aiming at the flight safety problems existing in UAV power patrol inspection, this study proposes a UAV patrol inspection safety management system (SMS) scheme, which takes the safety target level specified in soar as the target management, based on safety management, modern control theory, risk management, and UAV operation regulations, combined with the actual needs of machine patrol inspection of China Southern Power Grid and the requirements of local government. The UAV SMS scheme is developed from four parts: safety policy, risk management, safety guarantee, and safety promotion, and the application analysis is carried out in combination with the Kobe accident case in 2020. The experimental results demonstrate that the implementation of SMS scheme can effectively reduce the accident risk level during UAV power patrol inspection.

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“…(1) e size of the fleet is different and the types are diverse. e operating fleet usually includes helicopters, fixed wings, and multirotor operating fleet [18].…”

Section: Sms Framework Analysis Of Uavmentioning

confidence: 99%

Construction and Research of Safety Management System for Machine Patrol Operation

Zhang

Guo

Liao

2021

Mathematical Problems in Engineering

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“…As an example of subsequent paper topics, the sUAS categorization framework for traffic services will be presented at the 2017 Institute of Electrical and Electronics Engineers (IEEE) and American Institute of Aeronautics and Astronautics (AIAA) 36th Digital Avionics Systems Conference (DASC) [31]. Within the context of UTM, an sUAS categorization framework is established on the foundation of understanding the effects of sUAS design and operational characteristics on the trajectory of the sUAS itself, and the interactions the sUAS may have with other aerial vehicles and people and structures on the ground.…”

Section: Research Approachmentioning

confidence: 99%

“…To enhance the flexibility, scalability, and insights into the sUAS trajectory, the pattern-based trajectory definition model includes several supplement provisions. Small UAS categorization information [31], such as speed classes and equipage information may be included in the trajectory. Specifically, the pattern-based trajectory definition model includes the following provisions:…”

Section: Fig 4 Abstracted Trajectory Patterns and The Utm Ecosystemmentioning

confidence: 99%

Small Unmanned Aircraft System (sUAS) Trajectory Modeling in Support of UAS Traffic Management (UTM)

Ren

Castillo-Effen

Han

et al. 2017

17th AIAA Aviation Technology, Integration, and Operations Conference

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Small unmanned aircraft system (sUAS), as defined by the FAA, refers to a small unmanned aircraft weighing less than 55 pounds on takeoff, and its associated elements that are required for the safe and efficient operation of the small unmanned aircraft in the national airspace system. The unmanned aircraft system (UAS) traffic management (UTM) system is envisioned by NASA to enable civilian low-altitude airspace and UAS operations by providing services such as airspace design, corridors, dynamic geofencing, severe weather and wind avoidance, congestion management, terrain avoidance, route planning and rerouting, separation management, sequencing and spacing, and contingency management. Trajectory modeling and prediction methods are foundational capabilities in support of UTM to achieve its goals. This paper presents a framework for the development and validation of trajectory modeling and prediction methods for diverse types of sUASs under nominal environment and under a variety of realistic potential hazards, including adverse environmental conditions, and vehicle and system failures. Results from initial analysis of major components of the framework are also presented. Detailed results from the development and validation will be reported in subsequent papers as the research progresses.

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“…For example, the system weight or Maximum Take-Off Weight (MTOW) constitutes an important aspect to be considered because it limits the study to be undertaken (payloads and sensors) and other characteristics such as time of flight (flight speed, distance and height, etc.). There are several classifications of RPAS proposed by several authors and institutions [7][8][9][10][11]. As an example, Gupta et al [9] described a classification based on MTOW, endurance, altitude, operational area radios, purpose of use, etc.…”

Section: Introductionmentioning

confidence: 99%

Mission Flight Planning of RPAS for Photogrammetric Studies in Complex Scenes

Gómez-López

Pérez-García

Mozas‐Calvache

et al. 2020

IJGI

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This study describes a new approach to Remotely Piloted Aerial Systems (RPAS) photogrammetric mission flight planning. In this context, we have identified different issues appearing in complex scenes or difficulties caused by the project requirements in order to establish those functions or tools useful for resolving them. This approach includes the improvement of some common photogrammetric flight operations and the proposal of new flight schemas for some scenarios and practical cases. Some examples of these specific schemas are the combined flight (which includes characteristics of a classical block flight and a corridor flight in only one mission) and a polygon extrusion mode to be used for buildings and vertical objects, according to the International Committee of Architectural Photogrammetry (CIPA) recommendations. In all cases, it is very important to allow a detailed control of the flight and image parameters, such as the ground sample distance (GSD) variation, scale, footprints, coverage, and overlaps, according to the Digital Elevation Models (DEMs) available for the area. In addition, the application could be useful for quality control of other flights (or flight planning). All these new functions and improvements have been implemented in a software developed in order to make RPAS photogrammetric mission planning easier. The inclusion of new flight typologies supposes a novelty with respect to other available applications. The application has been tested using several cases including different types of flights. The results obtained in the quality parameters of flights (coverage and GSD variation) have demonstrated the viability of our new approach in supporting other photogrammetric procedures.

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Small unmanned aircraft system (sUAS) categorization framework for low altitude traffic services

Cited by 15 publications

References 3 publications

Construction and Research of Safety Management System for Machine Patrol Operation

Construction and Research of Safety Management System for Machine Patrol Operation

Small Unmanned Aircraft System (sUAS) Trajectory Modeling in Support of UAS Traffic Management (UTM)

Mission Flight Planning of RPAS for Photogrammetric Studies in Complex Scenes

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