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Ultra-Wideband Localization and Deep-Learning-Based Plant Monitoring Using Micro Air Vehicles
Toward Objective Assessment of Simulation Predictive Capability
State Machine Fault Protection Architecture for Aerospace Vehicle Guidance, Navigation, and Control
Satellite and Vision-Aided Sensor Fusion for Cooperative Navigation of Unmanned Aircraft Swarms
Safe2Ditch: Emergency Landing for Small Unmanned Aircraft Systems
Real-Time Directed Rapidly Exploring Random Tree Path Planning for Air Collision Avoidance
Radiation-Induced Noise Resilience of Neuromorphic Architectures
Performance Model Identification of the General Electric CF34-8C5B1 Turbofan Using Neural Networks
Neural Networks and Support Vector Regression for the CRJ-700 Longitudinal Dynamics Modeling
Multiplicative Extended Kalman Filter for Relative Rotorcraft Navigation
Loss-of-Control Prediction of a Quadcopter Using Recurrent Neural Networks
Long-Range Pose Estimation for Aerial Refueling Approaches Using Deep Neural Networks
Load-Distribution-Based Trajectory Planning and Control for a Multilift System
Ground-Based Sense-and-Avoid System for Small Unmanned Aircraft
Generating Test Cases with 100-Percent Requirements Coverage Using Design of Experiments
Generating Certification Evidence for Autonomous Aerial Vehicles Decision-Making
Fully Autonomous Indoor Flight Relying on Only Five Very Low-Cost Range Sensors
Four-Dimensional Aircraft En Route Optimization Algorithm Using the Artificial Bee Colony
Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow
Flight Guardian: Autonomous Flight Safety Improvement by Monitoring Aircraft Cockpit Instruments
Factored Extended Kalman Filter for Monocular Vision-Aided Inertial Navigation
Experimental Validation of Bayesian Nonparametric Adaptive Control Using Gaussian Processes
Energy-Aware Multiflight Planning for an Unattended Seaplane: Flying Fish
Dual Radio Autopilot System for Lightweight, Swarming Micro/Miniature Aerial Vehicles
Digital Engineering Development in an Academic CubeSat Project
Developing Critical Aerospace Embedded Systems with Distributed Teams Using Agile Methodologies
Design, Selection, and Evaluation of Reinforcement Learning Single Agents for Ground Target Tracking
Certification and Software Verification Considerations for Autonomous Unmanned Aircraft
Autonomous Flight in GPS-Denied Environments Using Monocular Vision and Inertial Sensors
Automated Generation of Air Traffic Encounters for Testing Conflict-Resolution Software
Automated Aerial Docking System Using Onboard Vision-Based Deep Learning
Associating Data in System of Systems Using Measures of Information
Artificial Dendritic Cell Mechanism for Aircraft Immunity-Based Failure Detection and Identification
Analysis of Simulated Imagery for Real-Time Vision-Based Automated Aerial Refueling
Aerodynamic Parameter Estimation for a Morphing Unmanned Aerial Vehicle from Flight Tests
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
A Concept for Credibility Assessment of Aircraft System Simulators