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Hsiao Ray's Projects

jetbot_ros icon jetbot_ros

ROS nodes and Gazebo model for NVIDIA JetBot with Jetson Nano

jps3d icon jps3d

A C++ implementation of Jump Point Search on both 2D and 3D maps

kcf_tld_tracking_ros icon kcf_tld_tracking_ros

在原有的KCF TLD的基础上,为了实现跟随功能,增加的速度发布机制。FOR ZYQ

lattice_planner icon lattice_planner

The lattice_planner package provides a move_base global planner plugin for a time-bounded A* lattice planner. The planner is designed to plan time dependent, dynamically feasible navigation paths for robots with differential drive constraints. It uses a dynamic cost map which is based on the ROS costmap representation from the costmap_2d package.

leetcode icon leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)

leetcodeanimation icon leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)

lego-loam icon lego-loam

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

lightgbm icon lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

loam_noted icon loam_noted

loam code noted in Chinese(loam中文注解版)

lrq_test icon lrq_test

discrete time LQR algorithm test with C++

machine-learning icon machine-learning

Assignments for Machine Learning course on Coursera from Stanford University

map-based-face-rec-navigation icon map-based-face-rec-navigation

Using ROS package: OpenCV, gmapping and Navigation to implement robot application for the robot to move in a known map and identify the correct human

matlab-turtlebot_controller_app icon matlab-turtlebot_controller_app

An apped used for planning the path of a turtlebot via waypoints, then generating linear and angular velocity commands via a pure pursuit controller and motion model. The commands can then be applied to a turtlebot over ROS.

mission_control_strategy_for_autonomous_navigation icon mission_control_strategy_for_autonomous_navigation

Using Potential Field path planning, a Frontier-based exploration strategy was designed which enabled the Turtlebot to explore an unknown area autonomously and return to home when triggered. Developed in ROS using C++ and Python. Project members: Albert Clerigues | Omair Khalid | Wajahat Akhtar

ml-nlp icon ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

mobile-robots-autonomous-navigation icon mobile-robots-autonomous-navigation

Implemented Dubin's Curves and Rapidly Exploring Random Trees and RRT Star with branches as Dubin's Curves for path planning in Python and also simulated in Gazebo using ROS.

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