Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets
This work proposes a vision-based perception algorithm that combines image-processing-based detection and tracking of aerial objects
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An Object-Oriented Approach To Imaging
A vision system for landing an unmanned aerial vehicle
Computer vision onboard UAVs for civilian tasks
Data-Mining-Based Computer Vision Analytics for Automated Helicopter Flight State Inference
Development of gazing algorithms for tracking oriented recognition
Feature extractor and search engine for automatic object recognition
Integrating a computational model and a run time system for image processing on a UAV
Intelligent LIDAR scanning region selection for satellite pose estimation
Lane detection system for autonomous vehicle navigation
Long-Range Pose Estimation for Aerial Refueling Approaches Using Deep Neural Networks
Automated aerial refueling (AAR) provides unique challenges for computer vision systems. Aerial refueling maneuvers require high
...Monocular Depth Estimation of Noncooperative Spacecraft Based on Deep Learning
Onboard Autonomy on the Intelligent Payload Experiment CubeSat Mission
Performance characterization of the dynamic programming obstacle detection algorithm
Three-Dimensional Reconstruction of Hand Using Stereoscopic Images
Vision based navigation for an unmanned aerial vehicle