This letter presents an incremental voxel-based lidar-inertial odometry (LIO) method for fast-
tracking spinning and solid-state lidar scans. To achieve the high tracking speed, we neither …

Vehicle odometry is an essential component of an automated driving system as it computes
the vehicle's position and orientation. The odometry module has a higher demand and …

This paper investigates the real time LiDAR odometry and mapping (LOAM) problem in
unstructured environments. We propose E-LOAM (LOAM with Expanded Local Structural …

As Light Detection And Ranging (LiDAR) increasingly becomes an essential component in
robotic navigation and autonomous driving, the processing of high throughput 3D point …

Simultaneous Localization and Mapping (SLAM) in an unknown environment is a crucial
part for intelligent mobile robots to achieve high-level navigation and interaction tasks. As …

Simultaneous localization and mapping (SLAM) technology has been widely used in space
exploration, unmanned driving, and service robots. In practice, light detection and ranging …

LiDAR-based Simultaneous Localization And Mapping (SLAM), which provides
environmental information for autonomous vehicles by map building, is a major challenge …

Abstract The RANdom SAmple Consensus (RANSAC) is one of the most powerful tools for
the reconstruction of ground structures from point cloud observations in many applications …

We describe a new toolset for the manipulation and analysis of ray clouds (3D maps defined
by a set of rays from a moving lidar to the scanned surfaces). Unlike point clouds, ray clouds …

ABSTRAK Automated Guided Vehicle (AGV) merupakan salah satu jenis mobile robot yang
digunakan untuk mengangkut barang menuju tempat tujuan. AGV mampu bekerja pada …