https://github.com/1989Ryan/Semantic_SLAM
공식 코드Visual Semantic SLAM with Landmarks for Large-Scale Outdoor Environment
Papers with Code 아카이브
Semantic SLAM
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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SLAM with semantic level scene understanding
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/IRMVLab/SemGauss-SLAM
공식 코드https://github.com/JingwenWang95/DSP-SLAM
공식 코드https://github.com/KumarRobotics/kr_autonomous_flight
공식 코드Large-scale Autonomous Flight with Real-time Semantic SLAM under Dense Forest Canopy
https://github.com/KumarRobotics/sloam
공식 코드Large-scale Autonomous Flight with Real-time Semantic SLAM under Dense Forest Canopy
https://github.com/LeeBY68/Hier-SLAM
공식 코드Hier-SLAM: Scaling-up Semantics in SLAM with a Hierarchically Categorical Gaussian Splatting
https://github.com/MIT-SPARK/Kimera
공식 코드Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping
https://github.com/airlab-polimi/c-slam
공식 코드Object Structural Points Representation for Graph-based Semantic Monocular Localization and Mapping
https://github.com/autonomousvision/kitti360labeltool
공식 코드KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D
https://github.com/autonomousvision/kitti360scripts
공식 코드KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D
https://github.com/martinruenz/co-fusion
공식 코드Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects
https://github.com/qingshufan/GeneA-SLAM2
공식 코드https://github.com/sjtu-visys/textslam
공식 코드https://github.com/smartroboticslab/mid-fusion
공식 코드MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM
https://github.com/tberriel/ovo
공식 코드https://github.com/yanmin-wu/EAO-SLAM
공식 코드EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association
https://github.com/AndrewGavril/Kimera-VIO-RaspberryPi
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping
https://github.com/JonasFrey96/Kimera-Semantics
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping
https://github.com/MIT-SPARK/Kimera-Evaluation
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping
https://github.com/MIT-SPARK/Kimera-RPGO
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping
https://github.com/MIT-SPARK/Kimera-Semantics
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping
https://github.com/MIT-SPARK/Kimera-VIO
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping
https://github.com/MIT-SPARK/Kimera-VIO-Evaluation
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping
https://github.com/MIT-SPARK/Kimera-VIO-ROS
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping
https://github.com/ToniRV/Kimera-VIO-Evaluation
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping
https://github.com/aseslamian/Det-SLAM
Det-SLAM: A semantic visual SLAM for highly dynamic scenes using Detectron2
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/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/wuxiaolang/Cube_SLAM_wu
EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.