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 …

Over the last decade, the Advanced Driver Assistance System (ADAS) concept has evolved
significantly. ADAS involves several technologies such as automotive electronics, vehicle-to …

Multispectral object detection for autonomous driving has gotten significant attention in
recent years. Since the complementing visual information provided by multispectral (ie, RGB …

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

Multispectral pedestrian detection, which consists of a color stream and thermal stream, is
essential under conditions of insufficient illumination because the fusion of the two streams …

Multispectral pedestrian detection has received increasing attention in recent years as color
and thermal modalities can provide complementary visual information, especially under …

Most of the previous infrared and visible image fusion methods based on deep learning
were on the basis of gray-scale images and used the single convolution kernel receptive …

Aerial object detection acts a pivotal role in searching and tracking applications. However,
the large model, limited memory, and computing power of embedded devices restrict aerial …

Multi-spectral template matching (MSTM) based object detection approaches can be widely
used in robotics and aerospace systems for fine-grained object discovery. However, the …

Object detection plays an important role in autonomous driving, disaster rescue, robot
navigation, intelligent video surveillance, and many other fields. Nonetheless, visible images …