pulei-student's repositories

Driving-Style-Analysis

Please notice that version 2.0 has updated in another repo. Named Revision-2.0-Driving-Style-Analysis-Using-Drving-Patterns-with-Bayesian-Approaches

Language:PythonLicense:MITStargazers:1Issues:0Issues:0

Hyperparameter-Tuning-In-LSTM-Network

Hyperparameter Tuning in LSTM using Genetic Algorithm, Bayesian Optimization, Random Search, Grid Search.

Language:Jupyter NotebookStargazers:1Issues:0Issues:0

MathWorks-Excellence-in-Innovation

Capstone and senior design project ideas for undergraduate and graduate students to gain practical experience and insight into technology trends and industry directions.

Language:MATLABLicense:NOASSERTIONStargazers:1Issues:0Issues:0

A-hybrid-path-planning-algorithm-based-on-APF-and-Astar

An improved hybrid approach based on A* and artificial potential field Algorithms for path planning of autonomous vehicles in complex environments

Language:PythonStargazers:0Issues:0Issues:0

blender-driving-scenario-creator

Blender add-on for creating OpenDRIVE and OpenSCENARIO based automotive driving scenarios including 3D models

Language:PythonLicense:GPL-3.0Stargazers:0Issues:0Issues:0

c_code

学习c语言

Stargazers:0Issues:0Issues:0

data_smoothing

A demonstration of data smoothing methods, particularly Lowess and B-Spline

Stargazers:0Issues:0Issues:0

Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

Deep_reinforcement_learning_for_autonomous_highway_driving_scenario

This repository contains the code of my master thesis

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Fc_Hybrid_Vehicle_Energy_Management_Strategy

Project achieved in MATLAB/Simulink 2022b, including optimal control algo, prediction algo, DQN training Env. etc.

Stargazers:0Issues:0Issues:0
License:MITStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

HighD-NGSIM-lane-change-feature-extraction

HighD,NGSIM lane change feature extraction and save.

Language:PythonStargazers:0Issues:0Issues:0

IGP2

Official Repository for "Interpretable Goal-based Prediction and Planning for Autonomous Driving" (ICRA 2021)

License:NOASSERTIONStargazers:0Issues:0Issues:0

Introduction-to-MCU-Programming-for-Power-Electronics-Control-Applications

This repository contains the MATLAB/Simulink source code to reproduce the experiments presented in the book: "Introduction to Microcontroller Programming for Power Electronics Control Applications"

Language:MATLABLicense:NOASSERTIONStargazers:0Issues:0Issues:0

ki4robofleet

A Simulation Environment based on SUMO to analyze Scenarios for autonomous driving vehicles in Cities

License:MITStargazers:0Issues:0Issues:0

Longitudinal-and-Lateral-Control-of-an-automotive-vehicle

This repository contains the Matlab code for the lateral and longitudinal control of vehicle modeled based on the Bicycle-Model. This work was carried out by me and my colleague Suleyman as part of the smart transportation course.

Language:MATLABLicense:MITStargazers:0Issues:0Issues:0

Master_thesis

The goal of this thesis is to release a traffic scenario clustering function in vehicle running real time.

Stargazers:0Issues:0Issues:0

motion_planning

Robot path planning, mapping and exploration algorithms

License:MITStargazers:0Issues:0Issues:0

Predictive-Active-Steering-Control-for-Autonomous-Vehicle-Systems

The field of autonomous vehicles has been a great topic of research for many researchers. In this paper, we are presenting a model predictive control (MPC) approach for controlling an active front steering system in an autonomous vehicle.

Language:MATLABStargazers:0Issues:0Issues:0

PyTrafficSim

PyTrafficSim is a light traffic simulator for research related purposes. PTS is the most easy way to test your self-driving algorithm within a complicated intersection scenario.

Stargazers:0Issues:0Issues:0

RRB

Official implementation of "Injecting Knowledge in Data-driven Vehicle Trajectory Predictors", Published in Transportation research part C.

Language:PythonLicense:BSD-2-ClauseStargazers:0Issues:0Issues:0

ScenarioArchitect

The Scenario Architect provides a lightweight graphical user interface that allows a straightforward realization and manipulation of concrete driving testing scenarios. Exemplary usecases are the validation of an online verification framework or training of an prediction algorithm.

Language:PythonLicense:EPL-2.0Stargazers:0Issues:0Issues:0
Language:PythonLicense:NOASSERTIONStargazers:0Issues:0Issues:0

Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

ZalaZONE-automotive-proving-ground-virtual-simulation-models

Models of the ZalaZONE automotive proving ground in different file formats for simulation software (IPG CarMaker, PreScan, VTD Vires, SUMO, Unity 3D)

License:MITStargazers:0Issues:0Issues:0