Hyunkun Kim (HyungunKim)

HyungunKim

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Location:South Korea, Seoul

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Hyunkun Kim's repositories

Software-Fusion-Technology

소프트웨어 융합 최신 기술 Part 3의 프로젝트를 위한 깃 리포지토리

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monodepth2

[ICCV 2019] Monocular depth estimation from a single image

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nd013-c2-fusion-starter

Starter Code for the Course 2 project of the Udacity Self-Driving Car Engineer Nanodegree Program

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IMLAB_SelfDrivingCarla

Kookmin University Intelligent Mobility Laboratory - Self Driving Car with Carla Project

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PythonRobotics

Python sample codes for robotics algorithms.

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nd013-c2-fusion-exercises

Exercise Code for Course 2 of the Udacity Self-Driving Car Engineer Nanodegree Program

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nd013-c1-vision-starter

Starter Code for the Course 1 project of the Udacity Self-Driving Car Engineer Nanodegree Program

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robotics

udacity robotics project

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udacity-nanodegrees

:mortar_board: List of Udacity Nanodegree programs with links to the free courses in their curricula

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ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

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TCP_python

TCP socket communication to send and receive python objects

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Pytorch_Generalized_3D_Lane_Detection

PyTorch implementation of 'Gen-LaneNet: a generalized and scalable approach for 3D lane detection'

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modeld

Self driving car lane and path detection

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AutoLabeler

Autolabel is a simple GUI tool to easily assign and verify *action labels* to individual frames of your self driving dataset.

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CarND-Behavioral-Cloning-P3

Starting files for the Udacity CarND Behavioral Cloning Project

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lanenet-lane-detection

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

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CarND-LaneLines-P1

Lane Finding Project for Self-Driving Car ND

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Forza-data-tools

Forza Motorsport/Horizon 'data out' tools

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ets2-telemetry-server

ETS2/ATS Telemetry Web Server + Mobile Dashboard

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PFNN

Phase-Functioned Neural Networks for Character Control

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LaneDetection_End2End

End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)

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Object-detection-and-segmentation-for-self-driving-cars

Utilize bdd100k dataset and mask r-cnn to detect and recognize objects for self driving cars

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ets2-sdk-plugin

ETS2 (Euro Truck Simulator 2) & ATS (American Truck Simulator) SDK plug-in. Telemetry data is shared via SharedMemory/Memory Mapped Files.

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simulation-and-modeling---misc

Modeling miscellaneous phenomenon and creating simulated data

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CarND-Extended-Kalman-Filter-Project

Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project

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