Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks are largely unaware of the limits of their training data and can become ...

Although the basic principle of radio direction finding is easy to understand (measure the phase difference between different ...

Maritime target tracking datasets are crucial for developing and benchmarking algorithms that support safe navigation of intelligent marine vessels in congested environments. Unlike the automotive ...

This is a collection of algorithms related to multiple view camera calibration in computer vision. Please note that the goal of this package is to provide minimal examples to demonstrate the concept ...

There exist many resources for Camera Calibration and this has become a standard operating procedure. Here, we use OpenCV to calibrate single or stereo cameras using chessboard or ChArUco boards. We ...

As a result of climate change, ensuring food security for the vastly growing human population is one of the major challenges of the 21st century. While climate change is exerting increasing pressure ...

Camera calibration plays an important role in various optical measurement and computer vision applications. Accurate calibration parameters of a camera can give a better performance. The key step to ...

Terrestrial time-lapse photogrammetry is a rapidly growing method for deriving measurements from glacial environments because it provides high spatio-temporal resolution records of change. Currently, ...