gisbi-kim Goto Github PK

dcp

decentr-vslam

Code Implementation

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

deeplm

DeepLM: Large-scale Nonlinear Least Squares on Deep Learning Frameworks using Stochastic Domain Decomposition (CVPR 2021)

demo_lidar

Depth Enhanced Monocular Odometry (camera and lidar version)

depth-mapping-matlab

Global 3D Map Construction using RTAB-Map iPhone/iPad app data

disco-pytorch

Differentiable Scan Context with Orientation

dyco3d

earthenterprise

Google Earth Enterprise - Open Source

exampleofioslidar

Example Of iOS ARKit LiDAR

fast_lio_slam

LiDAR SLAM = FAST-LIO + Scan Context

file_player_mulran

Publish ouster os1-64 scans and navtech radar polar images

fit-plane-open3d

example with real world lidar scan

fl3d

The code is implemented to show focal loss improvement based on 3D-FCN and VoxelNet for “Focal Loss in 3D Object Detection”.

flex-convolution

Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018

floam

Fast LOAM: Fast and Optimized Lidar Odometry And Mapping

fresco

Frequency-Domain Scan Context for Robust LiDAR-based Place Recognition with Translation and Rotation Invariance.

geometry-processing-csc2520

Course Page for Geometry Processing

geometry-processing-deformation

Deformation assignment for Geometry Processing course

gisbi-kim.github.io

blog

grid_map

Grid map library for mobile robots

highfive

HighFive - Header-only C++ HDF5 interface

iccv23-title-abstracts-db

to easily skim iccv23

icp_odometry

matlab

ilcc

Intensity-based_Lidar_Camera_Calibration

image-matching-toolbox

This is a toolbox repository to help evaluate various methods that perform image matching from a pair of images.

imu_x_fusion

IMU + X(GNSS, VO) Loose Fusion Localization based on ESKF

interactive_slam

Interactive Map Correction for 3D Graph SLAM

interview_question_for_beginner

:boy: :girl: Technical-Interview guidelines written for those who started studying programming. I wish you all the best. :space_invader: