142 research outputs found
SORA Methodology for Multi-UAS Airframe Inspections in an Airport
Deploying Unmanned Aircraft Systems (UAS) in safety- and business-critical operations
requires demonstrating compliance with applicable regulations and a comprehensive understanding
of the residual risk associated with the UAS operation. To support these activities and enable the
safe deployment of UAS into civil airspace, the European Union Aviation Safety Agency (EASA) has
established a UAS regulatory framework that mandates the execution of safety risk assessment for
UAS operations in order to gain authorization to carry out certain types of operations. Driven by
this framework, the Joint Authorities for Rulemaking on Unmanned Systems (JARUS) released the
Specific Operation Risk Assessment (SORA) methodology that guides the systematic risk assessment
for UAS operations. However, existing work on SORA and its applications focuses mainly on single
UAS operations, offering limited support for assuring operations conducted with multiple UAS and
with autonomous features. Therefore, the work presented in this paper analyzes the application of
SORA for a Multi-UAS airframe inspection (AFI) operation, that involves deploying multiple UAS
with autonomous features inside an airport. We present the decision-making process of each SORA
step and its application to a multiple UAS scenario. The results shows that the procedures and safety
features included in the Multi-AFI operation such as workspace segmentation, the independent
multi-UAS AFI crew proposed, and the mitigation actions provide confidence that the operation can
be conducted safely and can receive a positive evaluation from the competent authorities. We also
present our key findings from the application of SORA and discuss how it can be extended to better
support multi-UAS operations.Unión Europea 10101725
TRAJECTORY GENERATION BASED GUIDANCE AND CONTROL OF ROTORCRAFT UNMANNED AERIAL VEHICLES
Ph.DDOCTOR OF PHILOSOPH
AI and IoT Meet Mobile Machines: Towards a Smart Working Site
Infrastructure construction is society's cornerstone and economics' catalyst. Therefore, improving mobile machinery's efficiency and reducing their cost of use have enormous economic benefits in the vast and growing construction market. In this thesis, I envision a novel concept smart working site to increase productivity through fleet management from multiple aspects and with Artificial Intelligence (AI) and Internet of Things (IoT)
AI and IoT Meet Mobile Machines
Infrastructure construction is society's cornerstone and economics' catalyst. Therefore, improving mobile machinery's efficiency and reducing their cost of use have enormous economic benefits in the vast and growing construction market. In this thesis, I envision a novel concept smart working site to increase productivity through fleet management from multiple aspects and with Artificial Intelligence (AI) and Internet of Things (IoT)
Autonomous Systems, Robotics, and Computing Systems Capability Roadmap: NRC Dialogue
Contents include the following: Introduction. Process, Mission Drivers, Deliverables, and Interfaces. Autonomy. Crew-Centered and Remote Operations. Integrated Systems Health Management. Autonomous Vehicle Control. Autonomous Process Control. Robotics. Robotics for Solar System Exploration. Robotics for Lunar and Planetary Habitation. Robotics for In-Space Operations. Computing Systems. Conclusion
Proceedings of the International Micro Air Vehicles Conference and Flight Competition 2017 (IMAV 2017)
The IMAV 2017 conference has been held at ISAE-SUPAERO, Toulouse, France from Sept. 18 to Sept. 21, 2017. More than 250 participants coming from 30 different countries worldwide have presented their latest research activities in the field of drones. 38 papers have been presented during the conference including various topics such as Aerodynamics, Aeroacoustics, Propulsion, Autopilots, Sensors, Communication systems, Mission planning techniques, Artificial Intelligence, Human-machine cooperation as applied to drones
Aerial Vehicles
This book contains 35 chapters written by experts in developing techniques for making aerial vehicles more intelligent, more reliable, more flexible in use, and safer in operation.It will also serve as an inspiration for further improvement of the design and application of aeral vehicles. The advanced techniques and research described here may also be applicable to other high-tech areas such as robotics, avionics, vetronics, and space
Requirements for digitized aircraft spotting (Ouija) board for use on U.S. Navy aircraft carriers
This thesis will evaluate system and process elements to initiate requirements modeling necessary for the next generation Digitized Aircraft Spotting (Ouija) Board for use on U.S. Navy aircraft carriers to track and plan aircraft movement. The research will examine and evaluate the feasibility and suitability of transforming the existing two-dimensional static board to an electronic, dynamic display that will enhance situational awareness by using sensors and system information from various sources to display a comprehensive operational picture of the current flight and hangar decks aboard aircraft carriers. The authors will evaluate the current processes and make recommendations on elements the new system would display. These elements include what information is displayed, which external systems feed information to the display, and how intelligent agents could be used to transform the static display to a powerful decision support tool. Optimally, the Aircraft Handler will use this system to effectively manage the Flight and Hangar decks to support the projection of air power from U.S. aircraft carriers.http://archive.org/details/requirementsford109454447Lieutenant Commander, United States NavyLieutenant Commander, United States Navy ReserveApproved for public release; distribution is unlimited
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