Mobile robot path planning refers to the design of the safely collision-free path with shortest
distance and least time-consuming from the starting point to the end point by a mobile robot …

Autonomous driving vehicles require both a precise localization and mapping solution in
different driving environment. In this context, Simultaneous Localization and Mapping …

The ability of intelligent unmanned platforms to achieve autonomous navigation and
positioning in a large-scale environment has become increasingly demanding, in which …

We propose a framework for tightly-coupled lidar-visual-inertial odometry via smoothing and
mapping, LVI-SAM, that achieves real-time state estimation and map-building with high …

This letter presents a computationally efficient and robust LiDAR-inertial odometry
framework. We fuse LiDAR feature points with IMU data using a tightly-coupled iterated …

In this paper, we propose a novel LiDAR-Inertial-Visual sensor fusion framework termed R 3
LIVE, which takes advantage of measurement of LiDAR, inertial, and visual sensors to …

In this paper, we present an open platform, termed OpenVINS, for visual-inertial estimation
research for both the academic community and practitioners from industry. The open …

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 …

In this letter, we propose a robust, real-time tightly-coupled multi-sensor fusion framework,
which fuses measurements from LiDAR, inertial sensor, and visual camera to achieve robust …

The rapid development of autonomous driving and mobile mapping calls for off-the-shelf
LiDAR SLAM solutions that are adaptive to LiDARs of different specifications on various …