Structural health and construction security are important problems in civil engineering.
Regular infrastructure inspection and monitoring methods are mostly performed manually …

3-D vehicle detection is a key perception technique in autonomous driving. In this article, a
novel 3-D vehicle detection framework that fuses camera images and Light Detection and …

Efficient reasoning about the spatial and temporal structure of the environment is crucial for
perception in autonomous driving, particularly in an end-to-end approach. Although different …

Infrared small-target detection (ISTD) is an important computer vision task. ISTD aims at
separating small targets from complex background clutter. The infrared radiation decays with …

Object recognition is conducted using red, green, and blue (RGB) images in object
recognition studies. However, RGB images in low-light environments or environments where …

There exist many difficulties in environmental perception in transportation at open-pit mines,
such as unpaved roads, dusty environments, and high requirements for the detection and …

Conditional Imitation learning is a common and effective approach to train autonomous
driving agents. However, two issues limit the full potential of this approach:(i) the inertia …

Autonomous driving is advancing at a fast pace, with driving algorithms becoming more and
more accurate and reliable. Despite this, it is of utter importance to develop models that can …

Learning contextual and spatial environmental representations enhances autonomous
vehicle's hazard anticipation and decision-making in complex scenarios. Recent perception …

Recent studies on surveillance systems have employed various sensors to recognize and
understand outdoor environments. In a complex outdoor environment, useful sensor data …