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 …

Simultaneous localization and map** (SLAM) is a very challenging yet fundamental
problem in the field of robotics and photogrammetry, and it is also a prerequisite for …

Perception plays a crucial role in various robot applications. However existing well-
annotated datasets are biased towards autonomous driving scenarios while unlabelled …

With the increasing affordability of robot technologies and the reduction in size and weight of
autonomous systems, the deployment of autonomous robotic systems on construction sites …

Compact wearable map** system (WMS) has gained significant attention due to their
convenience in various applications. Specifically, it provides an efficient way to collect prior …

This paper presents FAST-LIVO2, a fast and direct LiDAR-inertial-visual odometry
framework designed for accurate and robust state estimation in SLAM tasks, enabling real …

This work proposes an incremental Generalized Iterative Closest Point (GICP) based tightly-
coupled LiDAR-inertial odometry (LIO), iG-LIO, which integrates the GICP constraints and …

Wheeled robots have recently demonstrated superior mechanical capability to traverse
vertically challenging terrain (eg, extremely rugged boulders comparable in size to the …

In this work, we demonstrate continuous-time radar-inertial and lidar-inertial odometry using
a Gaussian process motion prior. Using a sparse prior, we demonstrate improved …

Nowadays, sensor suits have been equipped with redundant LiDARs and IMUs to mitigate
the risks associated with sensor failure. It is challenging for the previous discrete-time and …