Dcl-slam: A distributed collaborative lidar slam framework for a robotic swarm

S Zhong, Y Qi, Z Chen, J Wu, H Chen… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
To execute collaborative tasks in unknown environments, a robotic swarm must establish a
global reference frame and locate itself in a shared understanding of the environment …

GNSS-5G hybrid positioning based on multi-rate measurements fusion and proactive measurement uncertainty prediction

L Bai, C Sun, AG Dempster, H Zhao… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The fifth-generation (5G) network can be used jointly with a global navigation satellite
system (GNSS) to help relieve the problem of having few visible satellites in urban …

GLIO: Tightly-coupled GNSS/LiDAR/IMU integration for continuous and drift-free state estimation of intelligent vehicles in urban areas

X Liu, W Wen, LT Hsu - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Intelligent vehicles demand reliable, continuous, and accurate positioning capability. Light
Detection and Ranging (LiDAR)-inertial odometry (LIO) provides precise continuous relative …

An intensity-augmented LiDAR-inertial SLAM for solid-state LiDARs in degenerated environments

H Li, B Tian, H Shen, J Lu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With development of light detection and ranging (LiDAR) technology, solid-state LiDARs
receive a lot of attention for their high reliability, low cost, and lightweight. However …

A LiDAR SLAM with PCA-based feature extraction and two-stage matching

S Guo, Z Rong, S Wang, Y Wu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Simultaneous localization and map** (SLAM) has been studied for decades in the field of
robotics, in which light detection and ranging (LiDAR) is widely used in various application …

Indoor scenario-based UWB anchor placement optimization method for indoor localization

H Pan, X Qi, M Liu, L Liu - Expert Systems with Applications, 2022 - Elsevier
Abstract Currently, ultra-wideband (UWB)-based localization systems are attracting much
attention due to their high ranging accuracy. It is well known that the relative sensor–source …

Ground segmentation based point cloud feature extraction for 3D LiDAR SLAM enhancement

TC Tsai, CC Peng - Measurement, 2024 - Elsevier
Point cloud preprocessing lays the foundation for the realization of autonomous vehicles
(AVs) as it is the backbone of 3D LiDAR simultaneous localization and map** (SLAM) …

An integrated INS/LiDAR odometry/polarized camera pose estimation via factor graph optimization for sparse environment

T Du, S Shi, Y Zeng, J Yang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
For the outdoor scenes with sparse features, the performance of inertial navigation system
(INS)/Lidar odometry (LO)-based simultaneous localization and map** (SLAM) pose …

Fast active aerial exploration for traversable path finding of ground robots in unknown environments

S Zhang, X Zhang, T Li, J Yuan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article proposes an autonomous aerial exploration framework for traversable path
finding of ground robots in unknown environments to achieve a fast response in search and …