TaeYoung Kim's Projects
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2021-Spring-Capstone-Design 'μ κΈ°μ°¨ 무μ μΆ©μ λ‘λ΄'
Assignment for 2021 spring Computer Vision lecture
Assignment for 2021 spring Deep Learning lecture
An Invitation to 3D Vision: A Tutorial for Everyone
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This reposiotry is the collection for public 3D LiDAR datasets
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A comprehensive list of Implicit Representations and NeRF papers relating to SLAM/Robotics domain, including papers, video, codes, and related websites
:sunglasses: A current list of LiDAR-IMU calibration method
The Robot Operating System Version 2.0 is awesome!
A cross platform (Linux and Windows) user mode SDK to read data from your Azure Kinect device.
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From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
Scripts to manage COCO datasets
πAutomatically Update CV Papers Daily using Github Actions (Update Every 12th hours)
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Deep learning model to estimate the depth of image
Implementation "learn intrinsic parameter" pseudocode in Probabilistic robotics (Chapter 6.3.2)
Midterm project for 2021 Fall Robot Navigation
[ROS2 humble] ROS2 wrapper for FAST-LIO package
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
A modern formatting library
GRIL-Calib: Targetless Ground Robot IMU-LiDAR Extrinsic Calibration Method using Ground Plane Motion Constraints
Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.