d2dtracker_trajectory_prediction

A ROS package with nodes that implement real-time drone trajectory predicitons using adaptive model selection and evaluation techniques.

https://github.com/mzahana/d2dtracker_trajectory_prediction

Science Score: 44.0%

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Low similarity (7.0%) to scientific vocabulary

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Repository

A ROS package with nodes that implement real-time drone trajectory predicitons using adaptive model selection and evaluation techniques.

Basic Info

Host: GitHub
Owner: mzahana
License: mit
Language: C++
Default Branch: main
Size: 146 KB

Statistics

Stars: 4
Watchers: 1
Forks: 0
Open Issues: 0
Releases: 0

Created over 3 years ago · Last pushed over 2 years ago

Metadata Files

Readme License Citation

README.md

d2dtrackertrajectoryprediction

A ROS 1 package with nodes that implement real-time drone trajectory predicitons using adaptive model selection and evaluation techniques.

D2DTracker System Architecture

NOTE

This repository is part of the D2DTracker work which is submitted for publication. The code will be availble once the paper is accepted.

Installation

This package is tested on Ubuntu 22 with ROS Noetic. The following dependencies are required * Eigen * osqpEigen * customtrajectorymsgs

Clone this package in your catkin_ws/src and compile using catkin build.

Run

An example launch file is available in launch/predictor.launch
We recommend to use the PX4 autopilot + MAVROS to simulate UAVs in Gazebo and ROS.
You can use our implementaiton of multi-target Kalman filter to estimate the target's states.

Owner

Name: Mohamed Abdelkader Zahana
Login: mzahana
Kind: user
Location: Saudi Arabia and UAE
Company: Systemtrio; Prince Sultan University

Website: https://www.riotu-lab.org/
Repositories: 8
Profile: https://github.com/mzahana

interests: - Control - Robotics (multi-agent systems) - Drones - PX4

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: >-
  D2DTracker: Trajectory Prediction of Target Drones Using
  Adaptive  Best Model Selection and Evaluation Techniques
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Mohamed
    family-names: Abdelkader
    email: mabdelkader@psu.edu.sa
    affiliation: Prince Sultan University
    orcid: 'https://orcid.org/0000-0002-0518-852X'
repository-code: >-
  https://github.com/mzahana/d2dtracker_trajectory_prediction.git
abstract: >-
  A ROS package with nodes that implement real-time drone
  trajectory predictions using adaptive model selection and
  evaluation techniques.
license: MIT
version: '0.1'
date-released: '2023-03-01'

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