PostPDR

KO | EN

gitlite — search

#python #golang #go #machine-learning #rust #deep-learning #linux #macos #cli #pytorch #security #mcp #openai #open-source

(★ 21)

A project designed to implement Pedestrian Dead Reckoning (PDR) for accurate positioning.

PostPDR Latest Version Download

Download Latest Version (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# PostPDR

PostPDR is a MATLAB-based project designed to implement Pedestrian Dead Reckoning (PDR) for accurate positioning. This system leverages sensors' data to estimate the position of a pedestrian over time.

## Features

- Utilizes IMU data for PDR
- Implements various algorithms for position estimation
- Provides functions for footstep detection and orientation calculation

## Prerequisites

- MATLAB

## Installation

1. Clone the repository:
   ```bash
   git clone https://github.com/akui1321/PostPDR.git

2. Navigate to the project directory and open MATLAB:
   ```bash
   cd PostPDR

## Usage

1. Open MATLAB.
2. Add the project directory to the MATLAB path:
   ```matlab
   addpath('path_to_PostPDR')
3. Run the main script or function to start processing IMU data.

## Project Structure
- Cnb.m: Function for coordinate transformation.
- PSR.m: Entry point of the application.
- att2q.m: Function for attitude to quaternion conversion.
- detectFoot.m: Function for footstep detection.
- estInitHead.m: Function for initial heading estimation.
- getQuatW.m: Function for quaternion calculation.
- getQuatWfour.m: Alternate function for quaternion calculation.
- gyrohead.m: Function for heading calculation using gyroscope data.
- maghead.m: Function for heading calculation using magnetometer data.
- nineFilt.m: Function for nine-axis filter.
- posCal.m: Function for position calculation.
- sixFilt.m: Function for six-axis filter.

## Contact
For any inquiries or feedback, please contact akui1321.

PostPDR

PostPDR Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

PostPDR

PostPDR Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

Download README