Conventional cameras employed in autonomous vehicle (AV) systems support many
perception tasks but are challenged by low-light or high dynamic range scenes, adverse …

This article presents an algorithmic framework for real-time condition monitoring and state
forecasting using multivariate data demonstrated on thermal imagery data of a ship's engine …

In this study, the damage identification procedure combining the advantages of high-speed
3D digital image correlation (DIC) that is used for modal analysis and wavelet-based …

The integration of cameras and LiDAR sensors has emerged as a promising approach to
enhance environmental perception and 3-D reconstruction capabilities in autonomous …

Integrating multiple types of sensors into autonomous systems, such as cars and robots, has
become a widely adopted approach in modern technology. Among these sensors, RGB …

Stereo cameras can capture the rich image textures of a scene, while LiDAR can obtain
accurate 3D coordinates of point clouds of a scene. They complement each other and can …

When using vision systems that employ multiple spectral bandwidths, such as visible and
Long-Wave Infrared (LWIR) bands, the calibration object's appearance can significantly …

Simultaneous Localization and Map** (SLAM) directly impacts the quality of maps used
for downstream tasks such as localization and path planning. Cumulative errors from inter …

Infrared binocular cameras, leveraging their distinct thermal imaging capabilities, are well-
suited for visual measurement and 3D reconstruction in challenging environments. The …

A deposition size monitoring method based on a molten pool's geometric characteristics,
including image calibration, contour extraction, contour coordinate calculation, and …