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Computing Proximity to Threat Along Uncertain Trajectory to Support Urban Air Mobility
Computing Proximity to Threat Along Uncertain Trajectory to Support Urban Air Mobility
Considerations For Aerospace Vehicle Design: Systems, Structures And Materials
Aircraft Flight Safety Assessment Based on Aviation Incident Risk Analysis
Point Process Formulation of Long-Term Collision Risk Statistics from Orbital Fragmentation
Redefining Space Commerce: The Move Toward Servitization
Landing Site Mapping and Selection with Quadtree Map Using Planar Elements
Updating threshold for IMO cost-benefit assessment
Aircraft Inspection Using Drones – Benefits and Related Safety Concerns
A Deep Neural Network Attack Simulation against Data Storage of Autonomous Vehicles
Study on Risk Control of the Horizontal Tail Coupling Flight Test
Corporate Governance and Sustainability Development Goals: Boeing Case Study
Aircraft Ground Deicing/Anti-Icing Training and Qualification Program
Disaster Risk Mapping from Aerial Imagery Using Deep Learning Techniques
Considerations for ISO 26262 ASIL Hazard Classification
Analysis of Safety Risks Related to Alternative Aviation Fuels
Data Driven UAM Flight Energy Consumption Prediction and Risk Assessment
Requirements for Certification of Aviation, Space, and Defense Quality Management Systems
Physician’s working group guides COVID-19 prevention in a mission critical environment
Updated and expanded casualty analysis of container vessels
Safety Distance Determination Methods for Hydrogen Refueling Stations: A Review
Establishing the Assurance Efficacy of Automated Risk Mitigation Strategies
Design and Testing of an Approach to Automated In-Flight Safety Risk Management for sUAS Operations
Flight Testing of In-Time Safety Assurance Technologies for UAS Operations
Case 2: Developing the World’s Largest Passenger Aircraft-Airbus A3XX
Numerical Study of Hydrogen Releases and Explosions in a Skid-Mounted Hydrogen Refueling Station
Unsettled Topics in the General Aviation Autonomy Landscape
Process Flow Modeling for an In-Time Aviation Safety Management System
Prediction of Driver’s Drowsiness Using Machine Learning Algorithms for Minimal Risk Condition