Evaluating the Impact of Extended Kalman Filter Odometry on the Performance of 2D LiDAR SLAM Algorithms. [PDF]
Merrick C, Nandikolla VK.
europepmc +1 more source
LiDAR–Visual–Inertial Multi-UGV Collaborative SLAM Framework
The collaborative execution of tasks by multiple Unmanned Ground Vehicles (UGVs) has become a development trend in the field of unmanned systems. Existing collaborative Simultaneous Localization and Mapping (SLAM) frameworks mainly employ methods based ...
Xutong Zhang +5 more
core +1 more source
Distributed multi-robot LiDAR SLAM with ground-optimized preprocessing and slope-adaptive segmentation. [PDF]
Wang Y, Zou Q, Wang F.
europepmc +1 more source
A Real-World Benchmark of Monte Carlo-Assisted EKF Odometry for Online Pose Estimation in 2D LiDAR SLAM. [PDF]
Kudriashov A +3 more
europepmc +1 more source
Development of an Orchard Inspection Robot: A ROS-Based LiDAR-SLAM System with Hybrid A*-DWA Navigation. [PDF]
Qu J, Gu Y, Qiu Z, Guo K, Zhu Q.
europepmc +1 more source
Comparative Analysis of LiDAR-SLAM Systems: A Study of a Motorized Optomechanical LiDAR and an MEMS Scanner LiDAR. [PDF]
Fortuna S +3 more
europepmc +1 more source
Loose Coupling Modeling of LiDAR-based Localization and SLAM
. In recent years, LiDAR-based localization has been widely explored. Among them, Scene Coordinate Regression (SCR)-based methods have demonstrated outstanding accuracy and robustness in city scenes. Integrating these models with traditional Simultaneous
Cheng Wang, Huanjia Zhang, Chenglu Wen
core +1 more source
When-to-Loop: Enhanced Loop Closure for LiDAR SLAM in Urban Environments Based on SCAN CONTEXT. [PDF]
Xu X +5 more
europepmc +1 more source
3D LiDAR Simultaneous Localization and Mapping (SLAM) for Autonomous Navigation
Light Detection and Ranging (LiDAR) technology integrated with various vehicles have long been used for the ability to map and survey large environments accurately.
Agapito, Iesu
core
Accurate 3D LiDAR SLAM System Based on Hash Multi-Scale Map and Bidirectional Matching Algorithm. [PDF]
Ma T, Kong L, Ou Y, Xu S.
europepmc +1 more source

