Abstract In situ Additive Manufacturing (AM) has developed into an active research and
industry-transfer area, mainly due to the increasing need for productive and sustainable …

Autonomous navigation requires both a precise and robust mapping and localization
solution. In this context, Simultaneous Localization and Mapping (SLAM) is a very well …

As a fundamental and critical task in various visual applications, image matching can identify
then correspond the same or similar structure/content from two or more images. Over the …

LiDAR odometry and mapping (LOAM) has been playing an important role in autonomous
vehicles, due to its ability to simultaneously localize the robot's pose and build high …

Moving towards autonomy, unmanned vehicles rely heavily on state-of-the-art collision
avoidance systems (CAS). A lot of work is being done to make the CAS as safe and reliable …

The Iterative Closest Point (ICP) algorithm is one of the most widely used methods for point-
set registration. However, being based on local iterative optimization, ICP is known to be …

The Simultaneous Localization And Mapping (SLAM) problem has been well studied in the
robotics community, especially using mono, stereo cameras or depth sensors. 3D depth …

Here we propose a real-time method for low-drift odometry and mapping using range
measurements from a 3D laser scanner moving in 6-DOF. The problem is hard because the …

We propose a real-time method for odometry and mapping using range measurements from
a 2-axis lidar moving in 6-DOF. The problem is hard because the range measurements are …

Here, we present a general framework for combining visual odometry and lidar odometry in
a fundamental and first principle method. The method shows improvements in performance …