There is a group of users within the vehicular traffic ecosystem known as Vulnerable Road
Users (VRUs). VRUs include pedestrians, cyclists, motorcyclists, among others. On the other …

Pedestrian detection is an important but challenging problem in computer vision, especially
in human-centric tasks. Over the past decade, significant improvement has been witnessed …

The timely and accurate identification of traffic signs plays a significant role in realizing the
autonomous driving of vehicles. However, the size of traffic signs accounts for a low …

Recently, gigapixel photography has been developed considerably and gradually put into
remote sensing, video surveillance, etc. Gigapixel images have a visible field of view area at …

Sonar image object detection is essential in underwater rescue and resource exploration.
Although many convolution neural network (CNN)-based object detection algorithms have …

In this paper, we resolve the challenging obstacle of detecting pedestrians with the ubiquity
of irregularities in scale, rotation, and the illumination of the natural scene images natively …

Pedestrian detection in the wild remains a challenging problem especially for scenes
containing serious occlusion. In this paper, we propose a novel feature learning method in …

In autonomous driving and Intelligent transportation systems, pedestrian detection is vital in
reducing traffic accidents. However, detecting small‐scale and occluded pedestrians is …

The major challenge faced by autonomous vehicles today is driving through busy roads
without getting into an accident, especially with a pedestrian. To avoid collision with …

Pedestrian detection is the use of computer vision techniques to determine whether there
are pedestrians in an image or video sequence and give their precise positioning, but the …