Mobile robots lack a driver or a pilot and, thus, should be able to detect obstacles
autonomously. This paper reviews various image-based obstacle detection techniques …

Nowadays Convolutional Neural Networks (CNNs) are being employed in a wide range of
industrial technologies for a variety of sectors, such as medical, automotive, aviation …

In this paper, we address the problem of object recognition in degraded environments
including fog and partial occlusion. Both long wave infrared (LWIR) imaging systems and …

The harmonic drive is a key component of the industrial robot. Because of its large reduction
ratio and excessive dynamic loading, various kinds of faults may occur. In particular, since …

Compared to wheeled vehicles, tracked vehicles have unique advantages in disaster relief
and engineering sites. The working environment of tracked vehicles is mostly in fixed-point …

As a crucial component of the autonomous driving task, the vehicle target detection
algorithm directly impacts driving safety, particularly in inclement weather situations, where …

Road traffic safety can be ensured by preventing and controlling the potential risks in road
traffic operations. The relevant literature was systematically reviewed to identify the research …

In order to accelerate the speed of visual image feature extraction and solve the problem of
training deceleration caused by the introduction of fuzzy numbers into the original Restricted …

Accurate lane detection is an essential function of dynamic traffic perception. Though deep
learning (DL) based methods have been widely applied to lane detection tasks, such …

In actual industrial production, the load and speed of bearings are complex and changeable.
However, most existing research on bearing fault diagnosis is based on constant speed …