Accurate and reliable localization and map** is a fundamental building block for most
autonomous robots. For this purpose, we propose a novel, dense approach to laserbased …

In recent years, machine vision has played an important role in product surface quality
detection. The promotion and use of this technology have largely avoided the subjectivity …

Fusing 3-D maps generated by multiple robots in real/semi-real time distributed map**
systems are addressed in this paper. A 3-D occupancy grid-based approach for map** is …

In this paper, we propose a robust point cloud registration method for ground vehicles. Given
the vast developments in the field of autonomous vehicles, the use of point cloud data has …

Limited by the working principles, LiDAR-SLAM systems suffer from the degeneration
phenomenon in environments such as long corridors and tunnels, due to the lack of …

Sphere targets are used extensively in terrestrial laser scanning registration; however, in
practice, it is still a time-consuming and labor-intensive task. This paper proposes an …

This paper presents a relative position and attitude estimation method using consecutive
point clouds without feature extraction. Using this method, the inaccurate state estimation …

Object Recognition is an essential component for Autonomous Land Vehicle (ALV)
navigation in urban environments. This paper presents a thorough evaluation of the …

Matching and merging overlap** point clouds is a common procedure in many
applications, including mobile robotics, three‐dimensional map**, and object …

The existing methods for the registration of point clouds acquired by laser scanners have
some limitations. Firstly, as some samples of surface, a point cloud acquired by the laser …