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 …

Accurate and robust localization is one of the key modules of autonomous driving and multi-
sensor robotic systems in complex urban scenes. Compared with camera-based …

Place recognition retrieves scenes from a prior map and identifies previously visited
locations. It is essential to autonomous-driving and robotics in terms of long-term navigation …

Global registration is a fundamental task that estimates the relative pose between two
viewpoints of 3D point clouds. However, there are two issues that degrade the performance …

Global registration using 3D point clouds is a crucial technology for mobile platforms to
achieve localization or manage loop-closing situations. In recent years, numerous …

In recent years, the demand for mapping construction sites or buildings using light detection
and ranging (LiDAR) sensors has been increased to model environments for efficient site …

Radar sensors are emerging as solutions for perceiving surroundings and estimating ego-
motion in extreme weather conditions. Unfortunately, radar measurements are noisy and …

Unmanned ground vehicles (UGVs) are making more and more progress in many
application scenarios in recent years, such as exploring unknown wild terrain, working in …

Enabling autonomous robots to operate robustly in challenging environments is necessary
in a future with increased autonomy. For many autonomous systems, estimation and …

LiDAR simultaneous localization and mapping (SLAM) system plays a vital role in numerous
applications, such as robots and autonomous vehicles. Since the measurement …