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State Machine Fault Protection Architecture for Aerospace Vehicle Guidance, Navigation, and Control
Fault Detection and Isolation of Satellite Inertial Instrumentation Using Nonlinear Adaptive Filters
Object Depth Measurement and Filtering from Monocular Images for Unmanned Aerial Vehicles
Cooperative Pursuit Guidance to Surround Intruder Swarms Using Collision Cones
Optimal Spline Method with Applications to Ship Classification and to Aircraft System Identification
Airport Detection for Fixed-Wing Unmanned Aerial Vehicle Landing Using a Hierarchical Architecture
Framework for Offline Data-Driven Aircraft Fault Diagnosis
Formation Flight in Complex Environments Using an Artificial Potential Field
Sliding-Window Adjustment for Monocular Simultaneous Localization and Mapping
Multiclass Anomaly Detection in Flight Data Using Semi-Supervised Explainable Deep Learning Model
Machine Vision Identification of Airport Runways with Visible and Infrared Videos
Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems
Identifying Anomalous Behavior in Aircraft Landing Trajectory Using a Bayesian Autoencoder
Anomaly Detection Using Deep Learning Respecting the Resources on Board a CubeSat
Integration of Image-Based Fog Detection with Autonomous Decision System for Intelligent Road Sign
Anomaly Detection in General-Aviation Operations Using Energy Metrics and Flight-Data Records