Pinned Repositories
100_Days_of_ML_Code
6832-project
Autonomous Vehicle Trajectory with iLQR in Randomly Generated Environments
Advanced_Lane_Lines
Udacity Selft-Driving Car Engineer Nano Degree Project 2
AI-Decision-Making
Lab1 - Artificial Intelligence - Algorithm for Decision Making
algforopt-notebooks
Jupyter notebooks associated with the Algorithms for Optimization textbook
Lane-Change-Simulation
This is an C++ implementation of lane change decision making in simulated autonomous driving, path planning and markov decision process as well as particle filters are considered
myGitBook
PythonRobotics
Python sample codes for robotics algorithms.
Self-Driving-Cars
Vehicle-Trajectory-Prediction-on-NGSIM
carlchan0514's Repositories
carlchan0514/CSDN
carlchan0514/Linux-and-Shell
Linux and shell programming
carlchan0514/NGSIM-trajectories
NGSIM I-80 dataset Leader - Follower Vehicle Trajectory Pairs
carlchan0514/fastai
The fast.ai deep learning library, lessons, and tutorials
carlchan0514/deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
carlchan0514/Autoware
Open-Source To Self-Driving.
carlchan0514/self-driving-car-sim
A self-driving car simulator built with Unity
carlchan0514/Coursera_deep_learning
This something about deep learning on Coursera by Andrew Ng
carlchan0514/topologicalMap
topological map for slam
carlchan0514/deep-learning-specialization-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
carlchan0514/deeplearning.ai
Some work of Andrew Ng's course on Coursera
carlchan0514/cpp-primer-5th-edition
Source code of C++ Primer 5th Edition
carlchan0514/Probabilistic-Robotics
《概率机器人》书和课后习题
carlchan0514/imitation-learning
Repository to store conditional imitation learning based AI that runs on CARLA.
carlchan0514/hfsm
Hierarchical Finite State Machine implementation by C
carlchan0514/HuskyPractice
This is a ros simple code for learning
carlchan0514/LC_NGSIM
lane change trajectories extracted from NGSIM
carlchan0514/IMU-GPS-Fusion
Sensor fusion using a particle filter
carlchan0514/Lane-Change-Simulation
This is an C++ implementation of lane change decision making in simulated autonomous driving, path planning and markov decision process as well as particle filters are considered
carlchan0514/planning-rgRRT
This was the project I did under Prof. David Meger. Abstract: Even the simplest robot model is subject to differential constraint. In robotics most problems involve differential constraints that arise from kinematics and dynamics of the robot. In order to plan a collision free path for robot which it can successfully follow its important to consider these constraints while planning. This project studies a very popular randomized path planning technique called RRT-Planning and apply it for a simple robot model with differential constraints. In order to deal with differential constraints a new sampling technique is studied in the report which is based on feasibility sets. Report also discusses in details theory of reachability sets and discusses reachability sets for simple car motion. Properties of RRTs and how the differential constraint problem affect those properties are also discussed in the report. Finally report also discusses the scope of improvement in the studied algorithms.
carlchan0514/NGSIM-trajectory-animation
Simple visualization of NGSIM I-80 dataset
carlchan0514/DNN_Step_by_Step
carlchan0514/CarND-Mercedes-SF-Utilities
Tools for Sensor Fusion processing.
carlchan0514/Bosch-Challenge
Race down a highway with a path planner that best decides how to pass other traffic
carlchan0514/CarND-Path-Planning-Project-1
My solution to the Udacity Self-Driving Car Engineer Nanodegree Path Planning Project.
carlchan0514/PIDControl
carlchan0514/pycubicspline
Cubic spline library on python
carlchan0514/ExtendedKalmanFilter
carlchan0514/Deep-Reinforcement-Learning
Implementation of q-learning using TensorFlow
carlchan0514/pylib
A Personal Library for Fast Data Analytics