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advanced-lane-lines

Udacity Self-Driving Car Engineer Nanodegree. Project: Advanced Lane Finding

apollo

An open autonomous driving platform

automotive_autonomy_msgs

A set of ROS messages for automation of mobile platforms.

autoware.ai

Open-source software for self-driving vehicles

bagpy

Python package for reading, and extracting data from rosbag file and perform any analysis on it.

bayesian-modelling-in-python

A python tutorial on bayesian modeling techniques (PyMC3)

behavior-planner

behavior-planner-1

Implementation of behavior planning module using FSM with spline based path planning

behavioral-cloning

Third Project of the Udacity Self-Driving Car Nanodegree Program

behaviorplanner

carnd-advanced-lane-lines

My solution to the Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Lines project.

carnd-camera-calibration

Images and notebook for camera calibration

carnd-extended-kalman-filter-project

carnd-extended-kalman-filter-project-1

Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project

carnd-lenet-lab

Implement the LeNet deep neural network model with TensorFlow.

carnd-mpc-project

My solution to the Udacity Self-Driving Car Engineer Nanodegree Model Predictive Control project

carnd-mpc-project-1

CarND Term 2 Model Predictive Control (MPC) Project

carnd-mpc-quizzes

CarND MPC Quizzes

carnd-path-planning-project

Create a path planner that is able to navigate a car safely around a virtual highway

carnd-path-planning-project-1

My solution to the Udacity Self-Driving Car Engineer Nanodegree Path Planning Project.

carnd-path-planning-project-2

In this project, the goal is to design a path planner that is able to create smooth, safe paths for the car to follow along a 3 lane highway with traffic. A successful path planner will be able to keep inside its lane, avoid hitting other cars, and pass slower moving traffic all by using localization, sensor fusion, and map data.

carnd-pid-control-project

carnd-pid-control-project-1

My solution to the Udacity Self-Driving Car Engineer Nanodegree PID Control project.

carnd-term1-starter-kit

carnd-traffic-sign-classifier-project

My work-through of the Jupyter notebook for the Udacity Self-Driving Car Nanodegree program Project 2 - Traffic Sign Classifier

carnd-vehicle-detection

My solution to the Udacity Self-Driving Car Engineer Nanodegree Vehicle Detection and Tracking project.

catkin_radar

这是一个工作空间，一个工程，一起上传了，其中src里有2个节点和1个msg,两个节点：conti_radar是大陆ARS408-21Radar在ROS下的驱动，另外一个radar_visualizer是将接收到的Radar数据通过Marker标记的形式在RVIZ上显示。

cmake-demo

《CMake入门实战》源码

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.