Datafiltratio-with-GNU-Octave

The repository includes Data fusion with complementary filter in GNU Octave

• Owner: Abhiyanta Community

• Team Members: Darshnik Makavana

• We are Always Available for Innovators :) Contact us : [email protected]

Overview

For estimating the position or orientation of a robot we can not rely on only one sensor as every sensor is having some drawbacks. For better accuracy of data we generally extract data for the same physical quantity from more than one sensor. As an example to calculate the orientation of robots we can use IMU sensors like accelerometers and Gyroscope. Both of them have some advantages and disadvantages. To overcome its individual inaccuracy we try to estimate an accurate angle using data of both the sensors. In this task, you will be learning a Complementary filter algorithm to fuse data from the accelerometer and Gyroscope. As the task is to learn algorithms here 1000 samples of data have already been provided in the form of an excel file and you need to import that file in GNU Octave software to implement the task.

Task Document

In order to understand the task, Refer the project section and milestones, It describes the task flow. All the issues connected with milestones (Labeled "Task") discribes the Sub-Tasks and conclusion of the team and remarks of the Tech Leads.

Report Documentation

For Documentation refer the issues section as well as code.

Take Care

In order to run the codes, "signal" and "i/o" packages must be priorly installed in the octave.

File Introduction

Refer to the folderTree file in current directory for comment about important files and directory tree of whole project.