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 …

This paper explores deep learning (DL) methods that are used or have the potential to be
used for traffic video analysis, emphasising driving safety for both autonomous vehicles and …

Effective feature fusion of multispectral images plays a crucial role in multispectral object
detection. Previous studies have demonstrated the effectiveness of feature fusion using …

Infrared and visible image fusion aims to utilize the complementary information between the
two modalities to synthesize a new image containing richer information. Most existing works …

Drone-based vehicle detection aims at detecting vehicle locations and categories in aerial
images. It empowers smart city traffic management and disaster relief. Researchers have …

The integration of multispectral data in object detection, especially visible and infrared
images, has been the subject of considerable attention recently. Complementary information …

For autonomous driving, one of the major challenges is to predict pedestrian crossing
intention in ego-view. Pedestrian intention depends not only on their intrinsic goals but also …

Integrating multispectral data in object detection, especially visible and infrared images, has
received great attention in recent years. Since visible (RGB) and infrared (IR) images can …

Object detection on visible (RGB) and infrared (IR) images, as an emerging solution to
facilitate robust detection for around-the-clock applications, has received extensive attention …

RGB-Infrared multi-modal object detection utilizes diverse and complementary information,
showing some advantages in intelligent transportation field. The main challenge of RGB …