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KAIST
- Daejeon, South Korea
- https://engcang.github.io
- channel/UC1Bui82br7_gmlaVRcCERcQ
Highlights
- Pro
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SLAM-application
SLAM-application PublicLeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI, M-LOAM, LOCUS, SLICT, MA-LIO application and โฆ
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vins-application
vins-application PublicVINS-Fusion, VINS-Fisheye, OpenVINS, EnVIO, ROVIO, S-MSCKF, ORB-SLAM2, NVIDIA Elbrus application of different sets of cameras and imu on different board including desktop and Jetson boards
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ros-yolo-sort
ros-yolo-sort PublicYOLO v3, v4, v5, v6, v7 + SORT tracking + ROS platform. Supporting: YOLO with Darknet, OpenCV(DNN), OpenVINO, TensorRT(tkDNN). SORT supports python(original) and C++. (Not Deep SORT)
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FAST-LIO-SAM-QN
FAST-LIO-SAM-QN PublicA SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on Quatro and Nano-GICP
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FAST-LIO-SAM
FAST-LIO-SAM Publica SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on LIO-SAM paper
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FAST-LIO-Localization-QN
FAST-LIO-Localization-QN PublicA Map-based localization implementation combining FAST-LIO2 as an odometry with Quatro + Nano-GICP as a map matching method
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