Pedestrian detection remains a critical problem in various domains, such as computer
vision, surveillance, and autonomous driving. In particular, accurate and instant detection of …

Semantic segmentation models gain robustness against poor lighting conditions by virtue of
complementary information from visible (RGB) and thermal images. Despite its importance …

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 …

Multispectral pedestrian detection has shown great advantages under poor illumination
conditions, since the thermal modality provides complementary information for the color …

Multispectral pedestrian detection has received great attention in recent years as
multispectral modalities (ie color and thermal) can provide complementary visual …

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

Scene understanding based on LiDAR point cloud is an essential task for autonomous cars
to drive safely, which often employs spherical projection to map 3D point cloud into multi …

Pedestrian detection is a core problem in computer vision that sees broad application in
video surveillance and, more recently, in advanced driving assistance systems. Despite its …