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Name: Soohwan Kim
Type: User
Name: Soohwan Kim
Type: User
DynaVINS : A Visual-Inertial SLAM for Dynamic Environments
Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.
Easy depth intrinsics calibration for depth sensors
Effective Robotics Programming with ROS
MWE for using the Eigen library in CUDA kernels
Eigen convenience for catkin
Deep learning operations reinvented (for pytorch, tensorflow, jax and others)
Real-time dense visual SLAM system
Robot-centric elevation mapping for rough terrain navigation
Copy From: http://egt.dii.unisi.it/
Consistency Conditions for any two X-ray images.
[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
Official page of ERASOR (Egocentric Ratio of pSeudo Occupancy-based Dynamic Object Removal), which is accepted @ RA-L'21 with ICRA'21
[RSS'23] The official Implementation of "ERASOR2: Instance-Aware Robust 3D Mapping of the Static World in Dynamic Scenes"
3D mapping tools for robotic applications
MSF - Modular framework for multi sensor fusion based on an Extended Kalman Filter (EKF)
Modified version of Parallel Tracking and Mapping (PTAM)
Event Camera Calibration
Python package for the evaluation of odometry and SLAM
Automatic extrinsic calibration of a camera and a 3d lidar using line and plane correspondences
This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.
A simple baseline for one-shot multi-object tracking
A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry.
Feedforward style transfer
A collection of GICP-based fast point cloud registration algorithms
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
Volumetric 3D Mapping in Real-Time on a CPU
The implementation for Fast Gaussian Processes Occupancy Maps.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.