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2d-slam

2D SLAM using an extended Kalman filter on LiDAR and INS data

ai-practice-tensorflow-notes

人工智能实践：Tensorflow笔记

autonavi

ROS-based autonomous navigation tools for mobile robots with 2D LiDAR

cartographer_ros_path_planner

Implement basic motion planning in cartographer submaps without using whole grid

double_laser_mapping_location

ros1 gazebo cartographer amcl

drivable_area

Vehicle control-policy from visual space (WIP)

drl_path_planning

This is a DRL(Deep Reinforcement Learning) platform built with Gazebo for the purpose of robot's adaptive path planning.

hdl_graph_slam

3D LIDAR-based Graph SLAM

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

kalmanfilter

This is a Kalman filter used to calculate the angle, rate and bias from from the input of an accelerometer/magnetometer and a gyroscope.

laserslam

SLAM using 2D lidar

machine-learning-collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

machine_learning

Repository for Machine Learning Project

mathematics

数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波

mooctf

source code of 人工智能实践：Tensorflow笔记 https://www.icourse163.org/course/PKU-1002536002?from=searchPage

motionplannerusingddpg

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

multiple-object-tracking-lidar

C++ implementation to Detect, track and classify multiple objects using LIDAR scans

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

pedestrian-navigation

ddpg based methods in order to achieve higher performance in soocial comliance and avoiding moving obstacles.

pku-tensorflow-notes

【人工智能实践：Tensorflow 笔记 | https://www.icourse163.org/course/PKU-1002536002 】的讲义与代码

rl-collision-avoidance

Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"

rl_collision_avoidance

Training code for GA3C-CADRL algorithm (collision avoidance with deep RL)

roblearn

ROS Robotic Deep Learning

robotpathplanningpso

Mobile Robot Path Planning Using Particle Swarm Optimization

ros_bridge

ROS Bridge Driver for Carla Simulator package : https://github.com/carla-simulator/carla

ros_note

ROS Learning Notes

ros_robot

self-driving-cars

Coursera Open Courses from University of Toronto

sensor-fusion-lidar-imu

sfm-visual-slam