High-precision localization is an important task for intelligent vehicles. Previous studies have
used the raw point cloud for mapping and localization. The problems with this method are …

Pedestrian crossing prediction is a particularly important task for intelligent transportation
systems, accurate prediction can guarantee the safety of pedestrians and driving comfort of …

The interest in fisheye cameras has recently risen in the autonomous vehicles field, as they
are able to reduce the complexity of perception systems while improving the management of …

Semantic segmentation based on Convolutional Neural Networks (CNNs) has been proven
as an efficient way of facing scene understanding for autonomous driving applications …

Pedestrian detection using fish-eye cameras is a principal research focus in computer
vision. Lack of pedestrian datasets of fish-eye images and pedestrian distortion in fish-eye …

The effects of radial lens distortion often appear in wide-angle cameras of surveillance and
safeguard systems, which may severely degrade performances of previous face recognition …

Accurate localization is one of the fundamental tasks of vehicles visual navigation in parking
lots. In this paper, we propose a practical and novel solution, which exploits road marking …

In autonomous vehicles, perception information about the surrounding road environment
can be obtained through image semantic segmentation. The fisheye camera commonly …

Pedestrian detection in fish-eye images is always an important problem in advanced driver
assistance systems (ADAS). In conventional methods, pedestrian detectors will be trained …

Backing crashes have become a serious problem, resulting in the United States announcing
a rule requiring all vehicles to come equipped with rearview cameras. As a result of this …