MULLS: Versatile LiDAR SLAM via multi-metric linear least square
Y Pan, P ** calls for off-the-shelf
LiDAR SLAM solutions that are adaptive to LiDARs of different specifications on various …
LiDAR SLAM solutions that are adaptive to LiDARs of different specifications on various …
An efficient point cloud place recognition approach based on transformer in dynamic environment
Place recognition retrieves scenes from a prior map and identifies previously visited
locations. It is essential to autonomous-driving and robotics in terms of long-term navigation …
locations. It is essential to autonomous-driving and robotics in terms of long-term navigation …
Extracting 3-D structural lines of building from ALS point clouds using graph neural network embedded with corner information
The representation quantifies the geometric shape and topology of a building is a necessary
procedure for many urban planning applications. A sharp line framework is a high-level …
procedure for many urban planning applications. A sharp line framework is a high-level …
PatchAugNet: Patch feature augmentation-based heterogeneous point cloud place recognition in large-scale street scenes
Abstract Point Cloud Place Recognition (PCPR) in street scenes is an essential task in the
fields of autonomous driving, robot navigation, and urban map updating. However, the …
fields of autonomous driving, robot navigation, and urban map updating. However, the …
Look at the whole scene: General point cloud place recognition by classification proxy
Deep learning models centered on retrieval have made significant strides in point cloud
place recognition. However, existing approaches struggle to generate discriminative global …
place recognition. However, existing approaches struggle to generate discriminative global …
SingleRecon: Reconstructing Building 3D models of LoD1 from A Single Off-Nadir Remote Sensing Image
R Shao, JJ Wu, J Li, S Peng, H Chen… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
3-D building models are one of the most intuitive and widely used forms for understanding
urban buildings. Generating 3-D building models based on a single off-nadir satellite image …
urban buildings. Generating 3-D building models based on a single off-nadir satellite image …
[HTML][HTML] A landslide monitoring method using data from unmanned aerial vehicle and terrestrial laser scanning with insufficient and inaccurate ground control points
J Zhou, N Jiang, C Li, H Li - Journal of Rock Mechanics and Geotechnical …, 2024 - Elsevier
Non-contact remote sensing techniques, such as terrestrial laser scanning (TLS) and
unmanned aerial vehicle (UAV) photogrammetry, have been globally applied for landslide …
unmanned aerial vehicle (UAV) photogrammetry, have been globally applied for landslide …
Multi-approach integration of ALS and TLS point clouds for a 3-D building modeling at LoD3
Registering, documenting, updating, revitalizing, expanding, and renovating old urban
buildings require proper documentation. The adoption of 3D survey techniques is essential …
buildings require proper documentation. The adoption of 3D survey techniques is essential …
[HTML][HTML] A Base-Map-Guided Global Localization Solution for Heterogeneous Robots Using a Co-View Context Descriptor
X Duan, M Wu, C **ong, Q Hu, P Zhao - Remote Sensing, 2024 - mdpi.com
With the continuous advancement of autonomous driving technology, an increasing number
of high-definition (HD) maps have been generated and stored in geospatial databases …
of high-definition (HD) maps have been generated and stored in geospatial databases …
QuadrantSearch: A novel method for registering UAV and backpack LiDAR point clouds in forested areas
G Li, B Wu, L Yang, Z Pan, L Dong, S Wu… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) laser scanning (ULS) and backpack laser scanning (BLS)
are two commonly employed technologies in precision forestry. However, data acquired by …
are two commonly employed technologies in precision forestry. However, data acquired by …