- Lidar SLAM System
(1) 2D SLAM
Gmapping
FastSLAM
HectorSLAM
KartoSLAM
LagoSLAM
CoreSLAM
Cartographer
(2) 3D SLAM
LOAM
LeGO-LOAM
Cartographer
IMLS-SLAM
(3) Deep learning with Lidar SLAM
Feature & Detection:
PointNetVLAD
VoxelNet
BirdNet
LMNet
PIXOR
YOLO3D
PointCNN
MV3D
Recognition & Segmentation:
PointNet
PointNet++
VoteNet
SegMap
SqueezeSeg
PointSIFT
PointWise
3P-RNN
SPG
SegMatch
KD-Network
DeepRemporalSeg
PointRCNN
Localization:
L3-Net
SuMA++
- Visual SLAM System
(1) Sparse Visual SLAM
MonoSLAM
PTAM
ORB-SLAM (v1, v2)
Inertial ORB-SLAM
ProSLAM
ENFT-sfm
ENFT-SLAM
OpenVSLAM
TagSLAM
UcoSLAM
(2) SemiDense Visual SLAM
LSD-SLAM
SVO
SNN-SVO
DSO
EVO
(3) Dense Visual SLAM
DTAM
MLM SLAM
Kinect Fusion
DVO
RGBD-SLAM V2
Kintinuous
RTAB-MAP
Dynamic Fusion
VolumeDeform
Fusion4D
Elastic Fusion
InfiniTAM
Bundle Fusion
(4) Visual Inertial Odometry SLAM
SSF
MSCKF
MSCKF-VIO
ROVIO
OKVIS
VINS Mono
Vins Mobile
VINS Fusion
ICE-BA
Maplab
VI-ORB
StructVIO
RKSLAM
(5) Deep Learning with Visual SLAM
Feature & Detection:
Pop-up SLAM
SuperPoint
GCN-SLAM
SalientDSO
CubeSLAM
MonoGRNet
Recognition & Segmentation:
SLAM++
SemanticFusion
MarrNet
3DMV
Pix3D
ScanComplete
Fusion++
Mask-RCNN
SegMap
3D-SIS
DA-RNN
DenseFusion
CCNet
Recovery Scale:
CNN-SLAM
DeepVO
GS3D
UnDeepVO
GeoNet
CodeSLAM
GEN-SLAM
Deep-MVS
Pose Output & Optimization:
PoseNet
VINet
DeepVO
SFM-Net
VSO
MID-Fusion
VidLoc
Long-term Localization
X-View
Semantic Visual Localization
Dynamic SLAM
RDSLAM
DS-SLAM
MaskFusion
Co-Fusion
Detect-SLAM
DynaSLAM
StaticFusion
- Lidar and Visual SLAM System
Multiple Sensors Calibration
Camera & IMU:
Kalibr
Vins-Fusion
MSCKF-VIO
IMIU-TK
Camera & Depth:
BAD SLAM
Lidar & IMU:
LIO-Mapping
Lidar-Align
Camera & Lidar
Lidar-Camera
RegNet
LIMO
CalibNet
Autoware
SVIn2
Lidar and Visual Fusion
Hardware layer
Data layer
Task layer
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