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 …

Purpose In recent decades, the field of robotic map** has witnessed widespread research
and development in light detection and ranging (LiDAR)-based simultaneous localization …

Simultaneous localization and map** (SLAM) is a fundamental task for numerous
applications such as autonomous navigation and exploration. Despite many SLAM datasets …

Artificial perception for robots operating in outdoor natural environments, including forest
scenarios, has been the object of a substantial amount of research for decades. Regardless …

In recent years, advancements in Light Detection and Ranging (LiDAR) technology have
made 3D LiDAR sensors more compact, lightweight, and affordable. This progress has …

LiDAR Odometry is an essential component in numerous robotic applications. However,
current LiDAR-only methods have poor performance in aggressive situations. Unlike the …

Leveraging multiple sensors enhances complex environmental perception and increases
resilience to varying luminance conditions and high-speed motion patterns, achieving …

Simultaneous Localization and Map** systems are a key enabler for positioning in both
handheld and robotic applications. The Hilti SLAM Challenges organized over the past …

This letter presents VoxelMap++: a voxel map** method with plane merging which can
effectively improve the accuracy and efficiency of LiDAR (-inertial) based simultaneous …

Aerial swarm systems possess immense potential in various aspects, such as cooperative
exploration, target tracking, and search and rescue. Efficient accurate self-and mutual state …