ylhe92 Goto Github PK

acc_vehicle_mpc

Model Predictive Control of Adaptive Cruise Control Vehicles.

adaptive-cruise-control-based-on-h-dqn-and-inverse-rl

基于分层强化学习和逆向强化学习的自适应巡航算法

analog-meter-reader

CV-based analog meter reader

awesome-gee

A curated list of Google Earth Engine resources

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

clone-wars

70+ open-source clones of popular sites like Airbnb, Amazon, Instagram, Netflix, Tiktok, Spotify, Whatsapp, Youtube etc. See source code, demo links, tech stack, github stars.

data-science-complete-tutorial

For extensive instructor led learning

deep-traffic-lab

deeprl-tensorflow2

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

docs

TensorFlow documentation

drl_based_selfdrivingcarcontrol

Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

env_build

The repo develops a general and extensible RL environment for large-scale autonomous driving tasks.

flametracker

The Flame Tracker is a video processing application designed for the combustion research community.

flirimageextractor

A small tool/lib to read temperatures and original photos from FLIR® thermal camera images.

flow

Computational framework for reinforcement learning in traffic control

geopandas

Python tools for geographic data

gym-pybullet-drones

PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

highway-env

A minimalist environment for decision-making in autonomous driving

lc_ngsim

lane change trajectories extracted from NGSIM

ml_notebooks

A repository for public Machine Learning notebooks I have created

mpc-mhe-autonomous-car

MATLAB Project for graduate level adaptive controls class

ngsim-trajectory-animation

Simple visualization of NGSIM I-80 dataset

phd-thesis-template

A LaTeX / XeLaTeX / LuaLaTeX PhD thesis template for Cambridge University Engineering Department (CUED)

python-control

The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.

pythonrobotics

Python sample codes for robotics algorithms.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

research-on-vehicle-driving-parameters-modeling-and-mining-of-excellent-driving-behavior

论文《 公共汽车行驶参数建模及优秀驾驶 行为挖掘方法研究》相关程序及数据集，摘要：通过采集公共汽车行驶参数，建立优秀驾驶行为分析模型，可以为驾驶司机提供一种优秀驾车的指导方法；优秀驾驶行为分析模型建立是关键，本文通过建立基于先验规则优秀驾驶行为分析模型和基于聚类分析的优秀驾驶行为挖掘模型，并在建立的两种模型基础上，采用贝叶斯统计方法，对驾驶行为优秀与否建立综合统计评分方法，对驾驶行为进行评判，从而为有效评判司机行为提供依据。 驾驶行为分析方法有许多种，找到适用于公共汽车领域的方法是重点，本文以划分区域路段作为研究出发点，在此基础上建立一种对司机在路段上的评价方法，能够挖掘出同一路段优秀驾驶参数，汇聚参数可以为司机提供针对性的优秀驾车指导。本文主要内容为： ① 介绍了本领域的研究背景和意义，并详细介绍了驾驶行为、基于先验规则、基于关键区域驾驶行为、基于贝叶斯统计的研究现状。 ② 阐述优秀驾驶行为分析模型，并对公交汽车节能驾驶原理和燃料经济性进行了分析，并对本文的关键点优秀驾驶行为模型和模型流程图进行了详细分析和说明。 ③ 建立基于先验规则的下坡空挡滑行、速度档位匹配度、急加速度、急刹车判决模型，并建立基于先验规则的驾驶员综合判决模型；通过对评判概率值进行排序以及阈值来进行优秀驾驶行为评判。 ④ 通过基于关键区域的聚类挖掘，并以油耗作为参考标准，对某一路段驾驶司机参数进行评判，汇聚优秀驾驶行为参数闭包，用来对本路段驾驶司机的优秀行为评判。 ⑤ 以贝叶斯统计原理为基础，综合基于先验规则优秀驾驶行为分析模型获得概率评判值和基于聚类分析的优秀驾驶行为挖掘模型汇聚的优秀驾驶参数闭包评判的驾驶行为概率值，汇总统计获得对驾驶司机的一种综合评判值，通过实验和图示证明了本文所建立模型和应用方法的有效性

retoolkit

Reverse Engineer's Toolkit

roadtrafficsimulator

Road traffic simulator and signals optimizer in CoffeeScript & HTML5

rosintegration

Unreal Engine Plugin to enable ROS Support