picnkname,github

3-link-robot-arm-control-using-mobile-device

Source code with complete report for Embedded systems design project Fall 2017

accelerometer-quarter-car

Matlab Code and Simulink models for quarter car and accelerometer response when going over obstacles

ackermann

Ackermann steering geometry model and basic control in Matlab

adas_project-auto-steering-acc

This is the final project of EECS 461 in University of Michigan. The goal of the project is to simulate Auto steering and Adaptive Cruise Control.

aiintern-training-program

为了对新来的实习学生有一个较为系统的培训，我们构建了关于实习生培训的数据专用git，主要的内容包括：任务书，学习资料，论文，以及原始代码，欢迎大家

article-translation

这里包括我平常看到的一些好的文章，包括论文，博客，期刊等等，以及可能做得一些翻译( here are some good articles and interesting papers I've read and also including some some translation I've made"

artificial-immune-system_mythesis

This repository contains the codes for my master's thesis in MATLAB.

autonomous_vehicle_paper_reading_list

A collection of papers focus on self-driving car. Many topics are covered including computer vison, sensor fusion, SLAM, decision and planning. The paper list will be timely updated.

autoware

Open-source software for self-driving vehicles

avoid-obstacles-controller

A collision avoidance controller to steer a robot away from obstacles

awesome-blockchain-cn

收集所有区块链(BlockChain)技术开发相关资料，包括Fabric和Ethereum开发资料

awesome-incident-response

A curated list of tools for incident response

awesome-security-weixin-official-accounts

网络安全类公众号推荐，欢迎大家推荐

awesome-vehicle-re-identification

collection of dataset&paper&code on Vehicle Re-Identification

behavioral-cloning-end-to-end-learning-for-self-driving-cars

In this project, I used a deep neural network (built with Keras) to clone car driving behavior. The dataset used to train the network is generated from Udacity's Self-Driving Car Simulator, and it consists of images taken from three different camera angles (Center - Left - Right), in addition to the steering angle, throttle, brake, and speed during each frame. The network is based on NVIDIA's paper End to End Learning for Self-Driving Cars, which has been proven to work in this problem domain.