Lidar sensors are frequently used in environment perception for autonomous vehicles and
mobile robotics to complement camera, radar, and ultrasonic sensors. Adverse weather …

A common problem in autonomous driving is designing a system that can operate in
adverse weather conditions. Falling rain and snow tends to corrupt sensor measurements …

Depth maps are crucial for many visual applications, where they represent the positioning
information of the objects in a three‐dimensional scene. Usually, depth maps can be …

Most existing light field (LF) disparity estimation algorithms focus on handling occlusion,
texture-less or other areas that harm LF structure to improve accuracy, while ignoring other …

The periodic cleaning pavement is a requirement for a clean environment in urban areas.
The robot named Panthera introduced in this paper has the ability to change the width of the …

Raw depth images captured by consumer depth cameras suffer from noisy and missing
values. Despite the success of CNN-based image processing on color image restoration …

Dynamic occlusion handling is critical for correct depth perception in Augmented Reality
(AR) applications. Consequently it is a key component to ensure realistic and immersive AR …

Coal flow volume is the essential basic data support for intelligent speed regulation and
energy-saving control of coal mine transportation systems. To accurately measure the coal …

The 3-D model of workpieces plays a significant role in robotic spray painting, which needs
the geometry and shape information for painting-path planning or pose estimation. However …

We present an integrated approach for perception of unknown articulated objects. To
robustly perceive objects and understand interactions, our method tightly integrates pose …