Simultaneous Localization and Mapping
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Simultaneous localization and mapping (SLAM) is the task of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it.
<span style="color:grey; opacity: 0.6">( Image credit: ORB-SLAM2 )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/gogojjh/M-LOAM
Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration
https://github.com/gxytcrc/Semantic-Graph-based--global-Localization
https://github.com/gxytcrc/semantic-histogram-based-global-localization
https://github.com/hjr37/CG-SLAM
CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian Field
https://github.com/idiap/eslam
ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields
https://github.com/jingweiz/pytorch-dnc
https://github.com/katieluo88/280finalproj_nyudepth
Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image
https://github.com/lastbasket/endo-4dgs
Learning How To Robustly Estimate Camera Pose in Endoscopic Videos
https://github.com/leavesnight/VIEO_SLAM
https://github.com/lianbin/VIOSLAM
https://github.com/liguolinhit/VIORB
https://github.com/lyffly/Python-3DPointCloud-and-RGBD
https://github.com/m1234d/build18
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
https://github.com/martinruenz/maskfusion
MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects
https://github.com/mit-spark/kimera-multi
Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems
https://github.com/muskie82/CNN-DSO
CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth Prediction
https://github.com/mweiss17/SEVN-data
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
https://github.com/nail-hnu/esvio_aa
https://github.com/ns15417/LearnVIORB-RGBD
https://github.com/ns15417/multicol-slam2
MultiCol-SLAM - A Modular Real-Time Multi-Camera SLAM System
https://github.com/nsinghal7/Kimera-VIO-NetVLAD
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping
https://github.com/nsinghal7/Kimera-VIO-ROS-NetVLAD
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping
https://github.com/orbslam-project/VIORB
https://github.com/pangfumin/Learn_VIORB
https://github.com/photosynthesis-seu/Edit_ORB_SLAM2
https://github.com/raulmur/ORB_SLAM
https://github.com/raulmur/ORB_SLAM2
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
https://github.com/roblabwh/patchmatch
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
https://github.com/shichaoy/cuboid_detect
https://github.com/shichaoy/matlab_cuboid_detect
https://github.com/slightech/MYNT-EYE-VIORB-Sample
https://github.com/taeyoung96/gril-calib
https://github.com/tiev-tongji/quadric_slam
https://github.com/tlglovewf/VIORB_FOR_STUDY
https://github.com/tub-rip/dvs_mcemvs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.