Discover @HaroldMurcia Open Source projects

Harold F. MURCIA (@HaroldMurcia)

HaroldMurcia

Stars
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Global Rank 308,894 (Top 11 %)
Followers 25
Following 12
Registered over 8 years ago
Most used languages

Python
43.8 %

C++
18.8 %

SWIG 12.5 %

Arduino 6.3 %

Makefile 6.3 %

MATLAB
6.3 %

Shell
6.3 %
Location 🇨🇴 Colombia
Country Total Rank 492
Country Ranking

SWIG 1

Makefile 22

Arduino 23

C++
35

MATLAB
49

Python
91

Shell
369

AlphaROVER

A repository for a 6-wheel rocker bogie rover, based on Robotic Operative System ROS and python to control its perception and action systems.

LOaM-comparison

methods_lidar_3d

Line_Follower

This repository contents the software elements to control a differential mobile Robot based on a ir-sensor array, encoders and Turbine.

3D-plantModeling-with-2DLiDAR

This repository contents the open source code to simulate a 3D plant modeling based on a 2D LiDAR and a rotatory disk platform.

Fixed-LiDARscan

This repository presents the software of a three-dimensional laser range finder based on a two-dimensional laser scanner Hokuyo URG-04LX-UG01 and a step motor. The experimental acquisition algorithm implemented on Robotic Operative System ROS in Python language.

smartAgroS

A decision support system for intelligent irrigation in crops from a low-cost Agroclimatic stations by using ML

AgroSenseV1.0

AgroSense is an agricultural project for online crop monitoring

miniRover_LiDAR_citrush_crop

Growing evaluation in the early stages of crop development can be critical to eventual yield. Point clouds have been used for this purpose in tasks such as detection, characterization, phenotyping, and prediction on different crops with terrestrial mapping platforms based on laser scanning. 3D model generation requires the use of specialized measurement equipment, which limits access to this technology because of their complex and high cost, both hardware elements and data processing software. An unmanned 3D reconstruction mapping system of orchards or small crops has been developed to support the determination of morphological indices, allowing the individual calculation of the height and radius of the canopy of the trees to monitor plant growth. This paper presents the details on each development stage of a low-cost mapping system, which integrates an Unmanned Ground Vehicle UGV and a 2D LiDAR to generate 3D point clouds. The sensing system for the data collection was developed from the design in mechanical, electronic, control, and software layers. The validation test was carried out on a citrus crop section by a comparison of distance and canopy height values obtained from our generated point cloud concerning the reference values obtained with a photogrammetry method.

assembly_base

Este es un repositorio inicial para el curso de Electrónica Digital II. Módulo de programación en lenguaje ensamblador.

nanoBase

This repository contents a base template to work with PIC16F15244 on board Cuiriosity Nano. An exercise for Embedded systems course.

Channel_IoT

ICP4pose_estimation

Line_Robot

Code for Line follower Robots

LDMRS-PTU_LAAS

An acquisition tool for a 3D scanner system based on PTU-46 FLIR and a LD-MRS SICK LiDAR using C, ROS and python

Ejemplo_-clase

Este repositorio es un ejemplo para tratar las instrucciones git básicas en clase

plant_reconstruction

This repository contents the acquisition and pointcloud generation nodes with Python, ROS Kinetic and Open3D

TurtleBot-3D

This repository contents the developed software to generate 3D point clouds based on a TurtleBot a 2D LiDAR, a RGB camera and ROS.