In recent years, autonomous vehicles have become more and more popular due to their
broad influence over society, as they increase passenger safety and convenience, lower fuel …

As autonomous vehicles become more common on the roads, their advancement draws on
safety concerns for vulnerable road users, such as pedestrians and cyclists. This paper …

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 …

The combination of infrared and visible videos aims to gather more comprehensive feature
information from multiple sources and reach superior results on various practical tasks, such …

Multispectral pedestrian detection is essential for around-the-clock applications, eg,
surveillance and autonomous driving. We deeply analyze Faster R-CNN for multispectral …

Multispectral images that combine visual-optical and infrared image information are a
promising source of data for automatic person detection. Especially in automotive or …

Despite all the significant advances in pedestrian detection brought by computer vision for
driving assistance, it is still a challenging problem. One reason is the extremely varying …

This paper presents a novel method for detecting pedestrians under adverse illumination
conditions. Our approach relies on a novel cross-modality learning framework and it is …

Recently, researchers have actively conducted studies on mobile robot technologies that
involve autonomous driving. To implement an automatic mobile robot (eg, an automated …

Single image super-resolution (SR) is an established pixel-level vision task aimed at
reconstructing a high-resolution image from its degraded low-resolution counterpart. Despite …