Difference between revisions of "PatrolDrone"
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{{Project | {{Project | ||
| title=PatrolDrone | | title=PatrolDrone | ||
| − | | short_descr=The goal of the project is to develop a drone able to patrol an indoor ambient to search | + | | short_descr=The goal of the project is to develop a drone able to patrol an indoor ambient to search for intruders |
| coordinator=AndreaBonarini | | coordinator=AndreaBonarini | ||
| tutor=AndreaBonarini | | tutor=AndreaBonarini | ||
| Line 8: | Line 8: | ||
| restopic=Robot development | | restopic=Robot development | ||
| start=24/10/2012 | | start=24/10/2012 | ||
| − | | end= | + | | end= 20/07/2013 |
| − | | status= | + | | status=Closed |
| level = Ms | | level = Ms | ||
}} | }} | ||
| Line 18: | Line 18: | ||
== Motivation == | == Motivation == | ||
| − | Environment reconstruction and exploration with limited | + | Environment reconstruction and exploration with limited sensorial capacity (monocular view, altitude sensor, gyroscope) using the low cost quadrocopter A.R. Drone 2.0 |
== Useful readings == | == Useful readings == | ||
| Line 48: | Line 48: | ||
Real-time exploration and mapping of environment with low-cost drone and low-cost camera, using PTAM and special exploration heuristics taking into account both the nature of the drone and that of the fast algorithm. | Real-time exploration and mapping of environment with low-cost drone and low-cost camera, using PTAM and special exploration heuristics taking into account both the nature of the drone and that of the fast algorithm. | ||
The three views are: a view from the external camera, the view of the on-board camera, with point cloud visualization, a view of the obtained map. | The three views are: a view from the external camera, the view of the on-board camera, with point cloud visualization, a view of the obtained map. | ||
| − | + | In the last part of the movie there is a visit of the map, showing in red the outliers eliminated by the algorithm. | |
<!--*[http://www.youtube.com/watch?v=tbkakWK_fKA External link] *[http://www.youtube.com/watch?v=ybcBYUrTDZw External link]}}--> | <!--*[http://www.youtube.com/watch?v=tbkakWK_fKA External link] *[http://www.youtube.com/watch?v=ybcBYUrTDZw External link]}}--> | ||
Latest revision as of 18:58, 3 February 2014
PatrolDrone
| |
| Short Description: | The goal of the project is to develop a drone able to patrol an indoor ambient to search for 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 |
| End: | 20/07/2013 |
| Status: | Closed |
| Level: | Ms |
Goal
The aim of the project is to develop an architecture for indoor autonomous exploration, including door and hole detection ability.
Motivation
Environment reconstruction and exploration with limited sensorial capacity (monocular view, altitude sensor, gyroscope) using the low cost quadrocopter A.R. Drone 2.0
Useful readings
SLAM
- SLAM [1]
- EKF [2]
- PTAM [3]
- Indoor Navigation with Laser Scanners [4]
- Depth Camera Localization and Navigation [5]
- BIM Based Navigation [6]
- Visibility of Point Clouds and Exploratory Path Planning in Unknown environment [7]
ROS packages
Video
Real-time exploration and mapping of environment with low-cost drone and low-cost camera, using PTAM and special exploration heuristics taking into account both the nature of the drone and that of the fast algorithm. The three views are: a view from the external camera, the view of the on-board camera, with point cloud visualization, a view of the obtained map. In the last part of the movie there is a visit of the map, showing in red the outliers eliminated by the algorithm.
