Difference between revisions of "PatrolDrone"

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== Goal ==
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The goal of this project is to develop an application for a quadrocopter able to patrol a closed environment.
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== Motivation ==
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Environment reconstruction and exploration with limited sensoring capacity (monocular view, altitude sensor, gyroscope) using the low cost quadrocopter AR drone 2.0
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== Useful readings ==
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=== SLAM ===
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* SLAM [http://en.wikipedia.org/wiki/Simultaneous_localization_and_mapping]
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* EKF [http://robots.stanford.edu/probabilistic-robotics/]
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* PTAM [http://www.robots.ox.ac.uk/~gk/PTAM/]
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=== Navigation ===
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====Indoor Navigation====
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* Indoor Navigation with laser Scanners [http://www.isprs.org/proceedings/XXXVII/congress/1_pdf/167.pdf]
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* Depth Camera Localization and Navigation [http://www.cs.cmu.edu/~mmv/papers/12icra-BiswasVeloso.pdf]
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* BIM Based Navigation [http://rrg.mchtr.pw.edu.pl/lib/exe/fetch.php?media=en:home:public:publications:bim_based_indoor_navigation_system_of_hermes_mobile_robot.pdf]
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* Visibility of Poin Clouds and Exploratory Path Planning in Unknown environment [ftp://ftp.math.ucla.edu/pub/camreport/cam08-28.pdf]
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== ROS packages ==
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* ardrone driver [http://ros.org/wiki/ardrone_autonomy]
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* ardrone PTAM and EKF wrapper [http://www.ros.org/wiki/tum_ardrone]
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* PCL [http://www.ros.org/wiki/pcl]

Revision as of 18:12, 20 March 2013

PatrolDrone
Short Description: The goal of the project is to develop a drone able to patrol an indoor ambient to search por intruders
Coordinator: AndreaBonarini (andrea.bonarini@polimi.it)
Tutor: AndreaBonarini (andrea.bonarini@polimi.it)
Collaborator:
Students: DanieleIasella (daniele.iasella@mail.polimi.it), StefanoFossati (stefanofossati.86@gmail.com)
Research Area: Robotics
Research Topic: Robot development
Start: 24/10/2012
Status: Active
Level: Ms

Goal

The goal of this project is to develop an application for a quadrocopter able to patrol a closed environment.

Motivation

Environment reconstruction and exploration with limited sensoring capacity (monocular view, altitude sensor, gyroscope) using the low cost quadrocopter AR drone 2.0

Useful readings

SLAM

Navigation

Indoor Navigation

  • Indoor Navigation with laser Scanners [4]
  • Depth Camera Localization and Navigation [5]
  • BIM Based Navigation [6]
  • Visibility of Poin Clouds and Exploratory Path Planning in Unknown environment [7]

ROS packages

  • ardrone driver [8]
  • ardrone PTAM and EKF wrapper [9]
  • PCL [10]