Fast-lio2: Fast direct lidar-inertial odometry
This article presents FAST-LIO2: a fast, robust, and versatile LiDAR-inertial odometry
framework. Building on a highly efficient tightly coupled iterated Kalman filter, FAST-LIO2 …
framework. Building on a highly efficient tightly coupled iterated Kalman filter, FAST-LIO2 …
Lidar-based place recognition for autonomous driving: A survey
LiDAR-based place recognition (LPR) plays a pivotal role in autonomous driving, which
assists Simultaneous Localization and Mapping (SLAM) systems in reducing accumulated …
assists Simultaneous Localization and Mapping (SLAM) systems in reducing accumulated …
A review of the large-scale application of autonomous mobility of agricultural platform
X Ren, B Huang, H Yin - Computers and Electronics in Agriculture, 2023 - Elsevier
With the gradual disappearance of the demographic dividend and the labor shortage
brought by the aging population, it is necessary and urgent to achieve a high degree of …
brought by the aging population, it is necessary and urgent to achieve a high degree of …
Efficient and probabilistic adaptive voxel mapping for accurate online lidar odometry
This letter proposes an efficient and probabilistic adaptive voxel mapping method for LiDAR
odometry. The map is a collection of voxels; each contains one plane feature that enables …
odometry. The map is a collection of voxels; each contains one plane feature that enables …
Robot-assisted mobile scanning for automated 3D reconstruction and point cloud semantic segmentation of building interiors
Scan-to-BIM technology can help construction stakeholders to obtain accurate BIM models
for building information management and construction progress monitoring. The current …
for building information management and construction progress monitoring. The current …
Dlc-slam: A robust lidar-slam system with learning-based denoising and loop closure
K Liu, M Cao - IEEE/ASME Transactions on Mechatronics, 2023 - ieeexplore.ieee.org
The current light detection and ranging simultaneous localization and mapping (LiDAR-
SLAM) system suffers greatly from low accuracy and limited robustness when faced with …
SLAM) system suffers greatly from low accuracy and limited robustness when faced with …
Efficient and accurate mapping method of underground metal mines using mobile mining equipment and solid-state lidar
Aiming at the problems of difficult sampling of environmental data, low efficiency, and
accuracy of mapping in underground metal mines, this research uses remote control mobile …
accuracy of mapping in underground metal mines, this research uses remote control mobile …
Hida: Towards holistic indoor understanding for the visually impaired via semantic instance segmentation with a wearable solid-state lidar sensor
Independently exploring unknown spaces or finding objects in an indoor environment is a
daily but challenging task for visually impaired people. However, common 2D assistive …
daily but challenging task for visually impaired people. However, common 2D assistive …
Real-Time Localization and Colorful Three-Dimensional Mapping of Orchards Based on Multi-Sensor Fusion Using Extended Kalman Filter
Y Zhang, H Sun, F Zhang, B Zhang, S Tao, H Li, K Qi… - Agronomy, 2023 - mdpi.com
To realize autonomous navigation and intelligent management in orchards, vehicles require
real-time positioning and globally consistent mapping of surroundings with sufficient …
real-time positioning and globally consistent mapping of surroundings with sufficient …
Performance evaluation of ROS-based SLAM algorithms for handheld indoor mapping and tracking systems
Simultaneous localization and mapping (SLAM) is an important field of work not only in
robotics, but also in mobile platforms. This research work provides insights into how SLAM …
robotics, but also in mobile platforms. This research work provides insights into how SLAM …