The automotive industry is transitioning towards intelligent, connected, and autonomous
vehicles to avoid traffic congestion, conflicts, and collisions with increased driver safety …

Recent progress in deep learning has led to accurate and efficient generic object detection
networks. Training of highly reliable models depends on large datasets with highly textured …

Global terrorist threats and illegal migration have intensified concerns for the security of
citizens, and every effort is made to exploit all available technological advances to prevent …

This study aims to comprehensively review and empirically evaluate the application of
multimodal large language models (MLLMs) and Large Vision Models (VLMs) in object …

Novel vision sensors such as thermal, hyperspectral, polarization, and event cameras
provide information that is not available from conventional intensity cameras. An obstacle to …

The integration of thermal imaging data with multimodal large language models (MLLMs)
offers promising advancements for enhancing the safety and functionality of autonomous …

Image dehazing is a method to reduce the effects of haze, dust, or fog in images in order to
provide a clear view of the observed scene. A large variety of traditional and machine …

Human detection is a technology that detects human shapes in the image and ignores
everything else. However, modern person detectors have some inefficiencies in detecting …

This article presents a collection of multimodal raw data captured from a manned all-terrain
vehicle in the course of two realistic outdoor search and rescue (SAR) exercises for actual …

As energy consumption for building engineering systems is a major part of the total energy
spent, it is necessary to reduce it. This leads to the need for the development of new …