The ROS interface as well as the Python packages for ProSeCo Planning

An awesome list of self-driving cars

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

Quadrotor control using minimum snap trajectory optimization and SE3 geometric controller

Simulink Reference example for modeling smart trucks with the intelligence to form a platoon based on certain criteria.

Traffic simulation project for dissertation

数据科学竞赛各种baseline代码、思路分享

⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

Official github page of UCF SST CitySim Dataset

Note for Apollo 3.0 perception, prediction and planning modules

simple EM-planner

机器人运动规划和控制相关论文，每周更新

Transform Frenet (s,d) to local Cartesian (x,y) coordinates.

This is another attempt using Frenet Frame OTG for the Udacity ND path planning project (dynamic street scenarios)

Teach a neural network to drive a car using reinforcement learning

Using reinforcement learning to teach a car to avoid obstacles.

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

Learning human driver models from NGSIM data with imitation learning.

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

Repository to store conditional imitation learning based AI that runs on CARLA.

机器学习过程中所看的书，视频和源码

ICML 2018 Self-Imitation Learning

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

Reinforcement-Learning-for-Decision-Making-in-self-driving-cars

Use 3D convolutional network to predict the speed of a car via dashcam stream. The final mean squared error on validation set is 3.1 (mile/hour)^2.

comma.ai speed challenge

Road Accidents Data Analysis for AI Hack