Yu-Cheng Su's repositories
Semantic_segmentation_tutorial
This is a tutorial for semantic segmentaion with deep learning
visualSLAM
code for visual slam book
algorithm_practice
some algorithm stuff
awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
Udacity_SDC_P3_Behavioral-Cloning
End-to-end learning for steering a car
Udacity_SDC_P4_Advanced_Lane_Finding
Using Sobel filter and color space to find lane lines
Udacity_SDC_T3_P1_Path_Planning
Path planning for driving on the high way
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
carla.hal
Real Self-Driving Car
lineChart.js
An interactive line chart created by using D3.js
nd013-c1-vision-starter
Starter Code for the Course 1 project of the Udacity Self-Driving Car Engineer Nanodegree Program
pyTorch_tutorial
This is a quick note for learning pyTorch
SFND_P2
2D feature tracking
superlists
learning Django
traffic_light_detection
a classifier for udacity capstone project
Udacity_Capstone
Code for running a real self-driving car
Udacity_SDC_P5_Vehicle_Detection_and_Tracking
Detecting cars on the road
Udacity_SDC_T2P1_Extended_Kalman_Filter
Implement extended Kalman filter in C++
Udacity_SDC_T2P2_Unscented_Kalman_Filter
Implement unscented Kalman filter in C++
Udacity_SDC_T2P3_Particle_Filter
Particle filter in C++
Udacity_SDC_T2P4_PID_Control
PID in C++
Udacity_SDC_T2P5_Model_Predictive_Control
Model predictive control for self-driving cars
Udacity_SDC_T3_Semantic_Segmentation
Segmentation by fully convolutional neural network
Udacity_SFND_P1
This is project for LIdar Obstacle Detection
Udacity_simulator
download