Beast code in Giters

meng216073's repositories

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

Language:C++Apache-2.0000

loam_velodyne

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

Language:C++NOASSERTION000

Automatic-Parking

Automatic parking with Reinforcement Learning (Q learning with epsilon greedy algorithm) in simulation. A parking environment is created in both Matplotlib and Gazebo.

Language:Python000

OpenCV3-Intro-Book-Src

:blue_book:《OpenCV3编程入门》书本配套源码 |《Introduction to OpenCV3 Programming》Book Source Code

000

Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

Language:PythonMIT000

kd-tree

An implementation of k-d tree

Language:C++MIT000

ROS Local planner based on the eband approach. Based on the original implementation by Christian Connette and Bhaskara Marathi. This local planner has been adapted primarily for differential drive robots, but still supports the original holonomic drive controls.

Language:C++000

free_space_detection

Ros package to merge data from LIDAR sensors and compute the free space from that data

Language:C++000

vtd_interface

NOASSERTION000

cartographer-1

关于谷歌slam地图库cartographer的源码注释

Language:C++000

apollo-1

自动驾驶Apollo源码注释.(annotated Apollo 1.0 source code)

Language:C++000

pure_pursuit

A ROS implementation of the pure pursuit path following algorithm.

Language:C++MIT000

Tensorflow-Tutorial

Tensorflow tutorial from basic to hard

Language:PythonMIT000

ipopt-cmake-demo

Just one of the ipopt examples wrapped up with cmake

EPL-1.0000

ros_tutorials

Code used in tutorials found on ROS wiki

Language:C++000

Dijkstras-Algorithm

Finding the shortest path from source to destination using Dijkstra's Algorithm. In this c++ STL is used to implement several other data structures which help in doing the task.

Language:C++000