Abstract RGB-Thermal infrared (RGB-T) image analysis has been actively studied in recent
years. In the past decade, it has received wide attention and made a lot of important …

In the last decade, the computer vision field has seen significant progress in multimodal data
fusion and learning, where multiple sensors, including depth, infrared, and visual, are used …

Medical thermography provides an overview of the human body with two-dimensional (2D)
information that assists the identification of temperature changes, based on the analysis of …

The building sector is responsible for 40% of the overall energy consumption in the EU.
Building defects, such as heat losses, moisture, and air leakages, inevitably causes …

In this letter, we propose a thermal-infrared simultaneous localization and map** (SLAM)
system enhanced by sparse depth measurements from light detection ranging (LiDAR) …

Automatic measurement and 3-D reconstruction are critical to the robotic manufacturing of
large surface parts. The existing approaches have limitations in terms of measurement …

Extrinsic calibration between LiDAR-Camera and LiDAR-LiDAR has been researched
extensively, because it is the foundation for sensor fusion. Meanwhile, many projects are …

We propose a novel non-line-of-sight (NLOS) imaging framework with long-wave infrared
(IR). At long-wave IR wavelengths, certain physical parameters are more favorable for high …

Human detection methods are widely used in various fields such as autonomous vehicles,
video surveillance, and rescue systems. To provide a more effective detection system …

A 2-D and 3-D sensor extrinsic calibration is the key prerequisite for multisensor-based robot
perception and localization. However, such calibration is challenging due to the variety of …