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Created about 5 years ago
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hayoung-kim

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network RTK를 위한 ntripclinet

udacity-path-planning

My solution for udacity path planning project. This makes the car drive > 20 miles without collision without constraint violation

C++

104

Perception-for-Self-driving

Perception algorithms for Self-driving car; Lane Line Finding, Vehicle Detection, Traffic Sign Classification algorithm.

Jupyter Notebook

mcts-tic-tac-toe

Monte Carlo Tree Search for tic tac toe

Python

tf-semantic-segmentation-FCN-VGG16

Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF

Jupyter Notebook

BehavioralCloning-for-Self-Driving-Keras

Keras/Tensorflow Implementation of `End-to-End Learning for self-driving car (Nvidia)`. Spatial factorization is additionally implemented to reduce network size.

Jupyter Notebook

tf2-deep-ensemble-uncertainty

Tensorflow 2.0 implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)

Jupyter Notebook

py-unity-socketio

control the position of a box in unity with python script

trajectory-predictions

Nuscene dataset으로 prediction

Jupyter Notebook

py-udp-autobox

Python and simulink files to send messages through ethernet(UDP) from linux to MicroAutobox

Python

reference_conversion_latex_2_KSAE

latex 넣어주면 자동차공학회 reference 형태로 바꿔주기

Jupyter Notebook

distributional-rl

distributional-rl for research

Python

RL implementations

Jupyter Notebook

self-driving-env

unity ml agent envs for self driving cars

programmers_sdv

C++

udacity-carnd-capstone

This is the project repo for the final project of the Udacity Self-Driving Car Nanodegree: Programming a Real Self-Driving Car.

Makefile

v2v_prediction

highway driving with v2v prediction

hayoung-kim/ntripclient

hayoung-kim

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