Autonomous vehicles (AVs) rely on various types of sensor technologies to perceive the
environment and to make logical decisions based on the gathered information similar to …

Visible and infrared image fusion (VIF) has attracted a lot of interest in recent years due to its
application in many tasks, such as object detection, object tracking, scene segmentation …

It is very challenging for various visual tasks such as image fusion, pedestrian detection, and
image-to-image translation in low light conditions due to the loss of effective target areas. In …

Infrared images can distinguish targets from their backgrounds based on the radiation
difference, which works well in all-weather and all-day/night conditions. By contrast, visible …

In this paper, we propose a new infrared and visible image fusion method based on multi-
scale transformation and norm optimization. In this method, a new loss function is designed …

This paper presents a systematic review of the perception systems and simulators for
autonomous vehicles (AV). This work has been divided into three parts. In the first part …

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 …

Multispectral pedestrian detection is capable of adapting to insufficient illumination
conditions by leveraging color-thermal modalities. On the other hand, it is still lacking of in …

Infrared multispectral imaging is attracting great interest with the increasing demand for
sensitive, low-cost and scalable devices that can distinguish coincident spectral information …

Infrared and visible image fusion methods aim to combine high-intensity instances and
detail texture features into fused images. However, the ability to capture compact features …