Research graph
References from Dynamic-uncertainty propagation in cascaded LiDAR–inertial SLAM for industrial mobile robots in dynamic warehouses. Local targets link to admitted publications; unresolved targets remain external evidence.
Faster-LIO: lightweight tightly coupled LiDAR-inertial odometry using parallel sparse incremental voxels
10.1109/lra.2022.3152830 · 2022 · External reference
SemanticKITTI: a dataset for semantic scene understanding of LiDAR sequences
10.1109/iccv.2019.00939 · 2019 · External reference
A method for registration of 3-D shapes
10.1109/34.121791 · 1992 · External reference
Past, present, and future of simultaneous localization and mapping: toward the robust-perception age
10.1109/tro.2016.2624754 · 2016 · External reference
LCDNet: deep loop closure detection and point cloud registration for LiDAR SLAM
10.1109/tro.2022.3150683 · 2022 · External reference
SuMa++: efficient LiDAR-based semantic SLAM
10.1109/iros40897.2019.8967704 · 2019 · External reference
CT-ICP: real-time elastic LiDAR odometry with loop closure
10.1109/icra46639.2022.9811849 · 2022 · External reference
SegMatch: segment-based place recognition in 3D point clouds
10.1109/icra.2017.7989618 · 2017 · External reference
Unresolved reference
2018 · External reference
Point-LIO: robust high-bandwidth light detection and ranging inertial odometry
10.1002/aisy.202200459 · 2023 · External reference
Fast segmentation of 3D point clouds for ground vehicles
10.1109/ivs.2010.5548059 · 2010 · External reference
iSAM2: incremental smoothing and mapping using the Bayes tree
10.1177/0278364911430419 · 2012 · External reference
Scan context: egocentric spatial descriptor for place recognition within 3D point cloud map
10.1109/iros.2018.8593953 · 2018 · External reference
Remove”, “Then revert: static point cloud map construction using multiresolution range images
10.1109/iros45743.2020.9340856 · 2020 · External reference
Voxelized GICP for fast and accurate 3D point cloud registration
10.1109/icra48506.2021.9560835 · 2021 · External reference
ERASOR: egocentric ratio of pseudo occupancy-based dynamic object removal for static 3D point cloud map building
10.1109/lra.2021.3061363 · 2021 · External reference
RangeNet++: fast and accurate LiDAR semantic segmentation
10.1109/iros40897.2019.8967762 · 2019 · External reference
MULLS: versatile LiDAR SLAM via multi-metric linear least square
10.1109/icra48506.2021.9561364 · 2021 · External reference
A review of point cloud registration algorithms for mobile robotics
10.1561/2300000035 · 2015 · External reference
3D is here: point cloud library (PCL)
10.1109/icra.2011.5980567 · 2011 · External reference
Unresolved reference
2009 · External reference
LeGO-LOAM: lightweight and ground-optimized LiDAR odometry and mapping on variable terrain
10.1109/iros.2018.8594299 · 2018 · External reference
LIO-SAM: tightly coupled LiDAR inertial odometry via smoothing and mapping
10.1109/iros45743.2020.9341176 · 2020 · External reference
KISS-ICP: in defense of point-to-point ICP-simple, accurate, and robust registration if done the right way
10.1109/lra.2023.3236571 · 2023 · External reference
DRR-LIO: a dynamic-region-removal-based LiDAR inertial odometry in dynamic environments
10.1109/jsen.2023.3269861 · 2023 · External reference
DOR-LINS: dynamic objects removal LiDAR-inertial SLAM based on ground pseudo occupancy
10.1109/jsen.2023.3310484 · 2023 · External reference
DO-Removal: dynamic object removal for LiDAR-inertial odometry enabled by front-end real-time strategy
10.1109/jiot.2024.3519577 · 2025 · External reference
FAST-LIO: a fast, robust LiDAR-inertial odometry package by tightly coupled iterated Kalman filter
10.1109/lra.2021.3064227 · 2021 · External reference
FAST-LIO2: fast direct LiDAR-inertial odometry
10.1109/tro.2022.3141876 · 2022 · External reference
TEASER: fast and certifiable point cloud registration
10.1109/tro.2020.3033695 · 2021 · External reference
M2DGR: a multi-sensor and multi-scenario SLAM dataset for ground robots
10.1109/lra.2021.3138527 · 2022 · External reference
Unresolved reference
2014 · External reference
Receding moving object segmentation in 3D LiDAR data using sparse 4D convolutions
10.1109/lra.2022.3183245 · 2022 · External reference
Point-LIO: robust high-bandwidth light detection and ranging inertial odometry
10.1002/aisy.202200459 · ExternalCitation · doi-reference
A method for registration of 3-D shapes
10.1109/34.121791 · ExternalCitation · doi-reference
SemanticKITTI: a dataset for semantic scene understanding of LiDAR sequences
10.1109/iccv.2019.00939 · ExternalCitation · doi-reference
3D is here: point cloud library (PCL)
10.1109/icra.2011.5980567 · ExternalCitation · doi-reference
SegMatch: segment-based place recognition in 3D point clouds
10.1109/icra.2017.7989618 · ExternalCitation · doi-reference
CT-ICP: real-time elastic LiDAR odometry with loop closure
10.1109/icra46639.2022.9811849 · ExternalCitation · doi-reference
Voxelized GICP for fast and accurate 3D point cloud registration
10.1109/icra48506.2021.9560835 · ExternalCitation · doi-reference
MULLS: versatile LiDAR SLAM via multi-metric linear least square
10.1109/icra48506.2021.9561364 · ExternalCitation · doi-reference
Scan context: egocentric spatial descriptor for place recognition within 3D point cloud map
10.1109/iros.2018.8593953 · ExternalCitation · doi-reference
LeGO-LOAM: lightweight and ground-optimized LiDAR odometry and mapping on variable terrain
10.1109/iros.2018.8594299 · ExternalCitation · doi-reference
SuMa++: efficient LiDAR-based semantic SLAM
10.1109/iros40897.2019.8967704 · ExternalCitation · doi-reference
RangeNet++: fast and accurate LiDAR semantic segmentation
10.1109/iros40897.2019.8967762 · ExternalCitation · doi-reference
Remove”, “Then revert: static point cloud map construction using multiresolution range images
10.1109/iros45743.2020.9340856 · ExternalCitation · doi-reference
LIO-SAM: tightly coupled LiDAR inertial odometry via smoothing and mapping
10.1109/iros45743.2020.9341176 · ExternalCitation · doi-reference
Fast segmentation of 3D point clouds for ground vehicles
10.1109/ivs.2010.5548059 · ExternalCitation · doi-reference
DO-Removal: dynamic object removal for LiDAR-inertial odometry enabled by front-end real-time strategy
10.1109/jiot.2024.3519577 · ExternalCitation · doi-reference
DRR-LIO: a dynamic-region-removal-based LiDAR inertial odometry in dynamic environments
10.1109/jsen.2023.3269861 · ExternalCitation · doi-reference
DOR-LINS: dynamic objects removal LiDAR-inertial SLAM based on ground pseudo occupancy
10.1109/jsen.2023.3310484 · ExternalCitation · doi-reference
ERASOR: egocentric ratio of pseudo occupancy-based dynamic object removal for static 3D point cloud map building
10.1109/lra.2021.3061363 · ExternalCitation · doi-reference
FAST-LIO: a fast, robust LiDAR-inertial odometry package by tightly coupled iterated Kalman filter
10.1109/lra.2021.3064227 · ExternalCitation · doi-reference
M2DGR: a multi-sensor and multi-scenario SLAM dataset for ground robots
10.1109/lra.2021.3138527 · ExternalCitation · doi-reference
Faster-LIO: lightweight tightly coupled LiDAR-inertial odometry using parallel sparse incremental voxels
10.1109/lra.2022.3152830 · ExternalCitation · doi-reference
Receding moving object segmentation in 3D LiDAR data using sparse 4D convolutions
10.1109/lra.2022.3183245 · ExternalCitation · doi-reference
KISS-ICP: in defense of point-to-point ICP-simple, accurate, and robust registration if done the right way
10.1109/lra.2023.3236571 · ExternalCitation · doi-reference
Past, present, and future of simultaneous localization and mapping: toward the robust-perception age
10.1109/tro.2016.2624754 · ExternalCitation · doi-reference
TEASER: fast and certifiable point cloud registration
10.1109/tro.2020.3033695 · ExternalCitation · doi-reference
FAST-LIO2: fast direct LiDAR-inertial odometry
10.1109/tro.2022.3141876 · ExternalCitation · doi-reference
LCDNet: deep loop closure detection and point cloud registration for LiDAR SLAM
10.1109/tro.2022.3150683 · ExternalCitation · doi-reference
iSAM2: incremental smoothing and mapping using the Bayes tree
10.1177/0278364911430419 · ExternalCitation · doi-reference
A review of point cloud registration algorithms for mobile robotics
10.1561/2300000035 · ExternalCitation · doi-reference
