Worst-Case Execution-Time-Aware Parallelization of Model-Based Avionics Applications
Vision-Based Marker-Less Landing of an Unmanned Aerial System on Moving Ground Vehicle
Vision-Aided Inertial Navigation with Modeling of Measurement Outliers
Spacecraft Attitude Determination System Using Nano-Optical Devices and Linux Software Libraries
Sliding-Window Adjustment for Monocular Simultaneous Localization and Mapping
Onboard Autonomy on the Intelligent Payload Experiment CubeSat Mission
Monocular Depth Estimation of Noncooperative Spacecraft Based on Deep Learning
Integrated Denoised Synthetic Aperture Radar Images for Enhanced Digital Elevation Model Generation
High-Performance Embedded Computing in Space: Evaluation of Platforms for Vision-Based Navigation
Development of a Peripheral–Central Vision System for Small Unmanned Aircraft Tracking
Data-Mining-Based Computer Vision Analytics for Automated Helicopter Flight State Inference
Autonomous Cooperative Guidance Strategies for Unmanned Aerial Vehicles During On-Board Emergency
Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets