With the significant advancement of sensor and communication technology and the reliable
application of obstacle detection techniques and algorithms, automated driving is becoming …

Odometry is crucial for robot navigation, particularly in situations where global positioning
methods like global positioning system are unavailable. The main goal of odometry is to …

In the field of 3D perception using 3D LiDAR sensors, ground segmentation is an essential
task for various purposes, such as traversable area detection and object recognition. Under …

As an optical sensor, LiDAR cannot effectively detect transparent obstacles in the
environment, such as glass parapets and glass doors in buildings. In this article, a glass …

Creating an accurate awareness of the environment using laser scanners is a major
challenge in robotics and auto industries. LiDAR (light detection and ranging) is a powerful …

Ground segmentation is a crucial task in the field of 3D LiDAR perception for autonomous
driving. It is commonly used as a preprocessing step for tasks such as object detection and …

Reflective surfaces present a persistent challenge for reliable 3D map** and perception in
robotics and autonomous systems. However, existing reflection datasets and benchmarks …

An understanding of the spatial information for safety-related architectural features inside a
school building is crucial for effective responses to emergency situations such as active …

Signals, such as point clouds captured by light detection and ranging sensors, are often
affected by highly reflective objects, including specular opaque and transparent materials …

Mobile robots are equipped with various sensors to perform object detection, localization,
and navigation. Among these sensors, LiDAR (light detection and ranging) is the most …