AIRWiki - User contributions [en]

User:RobertoBacciocchi

2011-01-23T14:15:54Z

RobertoBacciocchi:

{{Student
|category=Student
|firstname=Roberto
|lastname=Bacciocchi
|photo=BacciocchiRoberto.jpg
|email=roberto.bacciocchi@mail.polimi.it
|projectpage=OmniSLAM
|advisor=MatteoMatteucci SimoneCeriani
|status=active
}}
Was born on February 23, 1985. 
Received the Bachelor’s degree in Computer engineering in 2008 at the Politecnico di Milano. 
He's currently concluding the Master’s degree, developing a thesis in the area of Computer Vision, and being more specific on the argument of SLAM. 
His tutor's thesis is the professor Matteucci.

User:RobertoBacciocchi

2011-01-23T14:15:22Z

RobertoBacciocchi:

{{Student
|category=Student
|firstname=Roberto
|lastname=Bacciocchi
|photo=BacciocchiRoberto.jpg
|email=roberto.bacciocchi@mail.polimi.it
|projectpage=OmniSLAM
|advisor=MatteoMatteucci; SimoneCeriani;
|status=active
}}
Was born on February 23, 1985. 
Received the Bachelor’s degree in Computer engineering in 2008 at the Politecnico di Milano. 
He's currently concluding the Master’s degree, developing a thesis in the area of Computer Vision, and being more specific on the argument of SLAM. 
His tutor's thesis is the professor Matteucci.

File:BacciocchiRoberto.jpg

2011-01-10T10:18:56Z

RobertoBacciocchi: uploaded a new version of "Image:BacciocchiRoberto.jpg"

User:RobertoBacciocchi

2011-01-10T10:14:22Z

RobertoBacciocchi:

{{Student
|category=Student
|firstname=Roberto
|lastname=Bacciocchi
|photo=BacciocchiRoberto.jpg
|email=roberto.bacciocchi@mail.polimi.it
|projectpage=OmniSLAM
|advisor=MatteoMatteucci
|status=active
}}
Was born on February 23, 1985. 
Received the Bachelor’s degree in Computer engineering in 2008 at the Politecnico di Milano. 
He's currently concluding the Master’s degree, developing a thesis in the area of Computer Vision, and being more specific on the argument of SLAM. 
His tutor's thesis is the professor Matteucci.

File:BacciocchiRoberto.jpg

2011-01-10T10:13:46Z

RobertoBacciocchi: uploaded a new version of "Image:BacciocchiRoberto.jpg"

User:RobertoBacciocchi

2011-01-10T10:08:07Z

RobertoBacciocchi:

{{Student
|category=Student
|firstname=Roberto
|lastname=Bacciocchi
|email=roberto.bacciocchi@mail.polimi.it
|projectpage=OmniSLAM
|advisor=MatteoMatteucci
|status=active
}}

Was born on February 23, 1985. 
Received the Bachelor’s degree in Computer engineering in 2008 at the Politecnico di Milano. 
He's currently concluding the Master’s degree, developing a thesis in the area of Computer Vision, and being more specific on the argument of SLAM. 
His tutor's thesis is the professor Matteucci.

OmniSLAM

2011-01-10T09:53:07Z

RobertoBacciocchi:

{{Project
|title=OmniSLAM
|short_descr=Simultaneous Localization and Mapping (SLAM) using omnidirectional cameras
|coordinator=MatteoMatteucci
|tutor=SimoneCeriani
|students=RobertoBacciocchi
|resarea=Computer Vision and Image Analysis
|restopic=SLAM
|start=2010/12/05
|status=Active
|level=Ms
|type=Thesis
|student=RobertoBacciocchi
}}

SLAM (Simultaneous Localization And Mapping) is a technique that allows a robot moving in an unknown environment to create a map of the surrounding place and at the same time to localize itself into this map. 
This technique is of great interest because it’s necessary to develop high-level functionalities as the autonomous navigation. 
In literature there is a wide set of solutions to the problem of SLAM, depending also from the quantity and type of sensors used. 
In the last years has acquired a notable interest the SLAM solution that use a single camera as the only sensor, because it’s a low cost and low power consumption sensor that permits the rapid acquisition of a huge amount of information. 
In this category there is the SLAM solution that makes use of an omnidirectional camera. 
An omnidirectional camera is a camera with a wide field of view (usually 360°). Currently in the market there are two types of omnidirectional cameras: dioptric and catadioptric. 
A dioptric omnidirectional camera, often referred as fish-eye, makes use of particular lens that allows to capture rays in a field of view of near 180°. 
A catadioptric omnidirectional camera makes use of an opportunely shaped mirror (hyperbolic, elliptic, parabolic), posed in front of a standard camera (perspective or orthographic). 
This second type of camera is of major interest in the robotic community, because despite the loss of the central area of the image (in which the mirror reflects the camera itself), there is valuable increase of the field of view (greater then 180°). 

The objective of the work here described is to extend the MoonSLAM project already existent, adding the possibility to use an omnidirectional camera. 
The MoonSLAM project (developed by Simone Ceriani) is composed of a set of libraries that allow to develop a SLAM system.

OmniSLAM

2011-01-10T09:51:41Z

RobertoBacciocchi:

{{Project
|title=OmniSLAM
|short_descr=Simultaneous Localization and Mapping (SLAM) using omnidirectional cameras
|coordinator=MatteoMatteucci
|tutor=SimoneCeriani
|students=RobertoBacciocchi
|resarea=Computer Vision and Image Analysis
|restopic=SLAM
|start=2010/12/05
|status=Active
|level=Ms
|type=Thesis
|student=RobertoBacciocchi
}}

SLAM (Simultaneous Localization And Mapping) is a technique that allows a robot moving in an unknown environment to create a map of the surrounding place and at the same time to localize itself into this map. 
This technique is of great interest because it’s necessary to develop high-level functionalities as the autonomous navigation. 
In literature there is a wide set of solutions to the problem of SLAM, depending also from the quantity and type of sensors used. 
In the last years has acquired a notable interest the SLAM solution that use a single camera as the only sensor, because it’s a low cost and low power consumption sensor that permits the rapid acquisition of a huge amount of information. 
In this category there is the SLAM solution that makes use of an omnidirectional camera. 
An omnidirectional camera is a camera with a wide field of view (usually 360°). Currently in the market there are two types of omnidirectional cameras: dioptric and catadioptric. 
A dioptric omnidirectional camera, often referred as fish-eye, makes use of particular lens that allows to capture rays in a field of view of near 180°. 
A catadioptric omnidirectional camera makes use of an opportunely shaped mirror (hyperbolic, elliptic, parabolic), posed in front of a standard camera (perspective or orthographic). 
This second type of camera is of major interest in the robotic community, because despite the loss of the central area of the image (in which the mirror reflects the camera itself), there is valuable increase of the field of view (greater of 180°). 

The objective of the work here described is to extend the MoonSLAM project already existent, adding the possibility to use an omnidirectional camera. 
The MoonSLAM project (developed by Simone Ceriani) is composed of a set of libraries that allow to develop a SLAM system.

OmniSLAM

2011-01-10T09:51:10Z

RobertoBacciocchi:

{{Project
|title=OmniSLAM
|short_descr=Simultaneous Localization and Mapping (SLAM) using omnidirectional cameras
|coordinator=MatteoMatteucci
|tutor=SimoneCeriani
|students=RobertoBacciocchi
|resarea=Computer Vision and Image Analysis
|restopic=SLAM
|start=2010/12/05
|status=Active
|level=Ms
|type=Thesis
|student=RobertoBacciocchi
}}

SLAM (Simultaneous Localization And Mapping) is a technique that allows a robot moving in an unknown environment to create a map of the surrounding place and at the same time to localize itself into this map. 
This technique is of great interest because it’s necessary to develop high-level functionalities as the autonomous navigation. 
In literature there is a wide set of solutions to the problem of SLAM, depending also from the quantity and type of sensors used. 
In the last years has acquired a notable interest the SLAM solution that use a single camera as the only sensor, because it’s a low cost and low power consumption sensor that permits the rapid acquisition of a huge amount of information. 
In this category there is the SLAM solution that makes use of an omnidirectional camera. 
An omnidirectional camera is a camera with a wide field of view (usually 360°). Currently in the market there are two types of omnidirectional cameras: dioptric and catadioptric. 
A dioptric omnidirectional camera, often referred as fish-eye, makes use of particular lens that allows to capture rays in a field of view of near 180°. 
A catadioptric omnidirectional camera makes use of an opportunely shaped mirror (hyperbolic, elliptic, parabolic), posed in front of a standard camera (perspective or orthographic). 
This second type of camera is of major interest in the robotic community, because despite the loss of the central area of the image (in which the mirror reflects the camera itself), there is valuable increase of the field of view (greater of 180°). 

The objective of the work here described is to extend the MoonSLAM project already existent, adding the possibility to use an omnidirectional camera. 
The MoonSLAM project (developed by Simone Ceriani) is composed of a set of libraries that allow to develop a SLAM system.

OmniSLAM

2011-01-10T09:45:09Z

RobertoBacciocchi:

{{Project
|title=OmniSLAM
|short_descr=Simultaneous Localization and Mapping (SLAM) using omnidirectional cameras
|coordinator=MatteoMatteucci
|tutor=SimoneCeriani
|students=RobertoBacciocchi
|resarea=Computer Vision and Image Analysis
|restopic=SLAM
|start=2010/12/05
|status=Active
|level=Ms
|type=Thesis
|student=RobertoBacciocchi
}}

SLAM (Simultaneous Localization And Mapping) is a technique that allows a robot moving in an unknown environment to create a map of the surrounding place and at the same time to localize itself into this map.
This technique is of great interest because it’s necessary to develop high-level functionalities as the autonomous navigation.
In literature there is a wide set of solutions to the problem of SLAM, depending also from the quantity and type of sensors used.
In the last years has acquired a notable interest the SLAM solution that use a single camera as the only sensor, because it’s a low cost and low power consumption sensor that permits the rapid acquisition of a huge amount of information.
In this category there is the SLAM solution that makes use of an omnidirectional camera.
An omnidirectional camera is a camera with a wide field of view (usually 360°). Currently in the market there are two types of omnidirectional cameras: dioptric and catadioptric.
A dioptric omnidirectional camera, often referred as fish-eye, makes use of particular lens that allows to capture rays in a field of view of near 180°.
A catadioptric omnidirectional camera makes use of an opportunely shaped mirror (hyperbolic, elliptic, parabolic), posed in front of a standard camera (perspective or orthographic).
This second type of camera is of major interest in the robotic community, because despite the loss of the central area of the image (in which the mirror reflects the camera itself), there is valuable increase of the field of view (greater of 180°).

The objective of the work here described is to extend the MoonSLAM project already existent, adding the possibility to use an omnidirectional camera.
The MoonSLAM project (developed by Simone Ceriani) is composed of a set of libraries that allow to develop a SLAM system.

User:RobertoBacciocchi

2011-01-10T08:57:40Z

RobertoBacciocchi:

{{Student
|category=Student
|firstname=Roberto
|lastname=Bacciocchi
|email=roberto.bacciocchi@mail.polimi.it
|projectpage=OmniSLAM
|advisor=MatteoMatteucci
|status=active
}}
work in progress

User:RobertoBacciocchi

2010-12-18T17:43:44Z

RobertoBacciocchi:

{{Student
|category=Student
|firstname=Roberto
|lastname=Bacciocchi
|email=roberto.bacciocchi@mail.polimi.it
|projectpage=OmniSLAM
|advisor=MatteoMatteucci
|status=inactive
}}
work in progress

User:RobertoBacciocchi

2010-12-18T17:30:22Z

RobertoBacciocchi:

OmniSLAM

2010-12-05T22:14:01Z

RobertoBacciocchi:

OmniSLAM

2010-12-05T22:09:17Z

RobertoBacciocchi:

{{Project
|title=OmniSLAM
|short_descr=Simultaneous Localization and Mapping (SLAM) using omnidirectional cameras
|coordinator=MatteoMatteucci
|students=RobertoBacciocchi
|resarea=Computer Vision and Image Analysis
|restopic=SLAM
|start=2010/12/05
|status=Active
|level=Ms
|type=Thesis
|student=RobertoBacciocchi
}}

OmniSLAM

2010-12-05T22:05:05Z

RobertoBacciocchi: New page: {{Project | title=OmniSLAM | short_descr= Simultaneous Localization and Mapping (SLAM) using omnidirectional cameras | tutor=MatteoMatteucci | student=RobertoBacciocchi | resarea=Computer ...

{{Project
| title=OmniSLAM
| short_descr= Simultaneous Localization and Mapping (SLAM) using omnidirectional cameras
| tutor=MatteoMatteucci
| student=RobertoBacciocchi
| resarea=Computer Vision
| restopic=SLAM
| start=2010/12/05
| level=Ms
| type=Course;Thesis
| status=Proposal
}}

User:RobertoBacciocchi

2010-12-05T21:47:25Z

RobertoBacciocchi:

{{Student
|category=Student
|firstname=Roberto
|lastname=Bacciocchi
|email=roberto.bacciocchi@mail.polimi.it
|projectpage=OmniSLAM
|advisor=MatteoMatteucci
|status=inactive
}}
work in progress

User:RobertoBacciocchi

2010-12-05T21:32:49Z

RobertoBacciocchi:

{{Student
|category=Student
|firstname=Roberto
|lastname=Bacciocchi
|email=roberto.bacciocchi@mail.polimi.it
|advisor=MatteoMatteucci
|status=inactive
}}
work in progress

File:03082009223.jpg

2010-12-05T21:28:42Z

RobertoBacciocchi: Removing all content from page

File:03082009223.jpg

2010-12-05T21:27:04Z

RobertoBacciocchi:

----

User:RobertoBacciocchi

2010-12-05T21:19:47Z

RobertoBacciocchi:

{{Student
|category=Student
|firstname=Roberto
|lastname=Bacciocchi
|photo=BacciocchiRoberto.jpg
|email=roberto.bacciocchi@mail.polimi.it
|advisor=MatteoMatteucci
|status=inactive
}}
work in progress

File:BacciocchiRoberto.jpg

2010-12-05T21:18:36Z

RobertoBacciocchi:

User:RobertoBacciocchi

2010-12-05T21:13:06Z

RobertoBacciocchi:

{{Student
|category=Student
|firstname=Roberto
|lastname=Bacciocchi
|photo=03082009223.jpg
|email=roberto.bacciocchi@mail.polimi.it
|advisor=MatteoMatteucci
|status=inactive
}}
work in progress

File:03082009223.jpg

2010-12-05T21:12:54Z

RobertoBacciocchi:

User:RobertoBacciocchi

2010-12-05T21:03:39Z

RobertoBacciocchi:

{{Student
|category=Student
|firstname=Roberto
|lastname=Bacciocchi
|email=roberto.bacciocchi@mail.polimi.it
|advisor=MatteoMatteucci
|status=inactive
}}
work in progress

User:RobertoBacciocchi

2010-12-05T21:02:44Z

RobertoBacciocchi:

{{Student
|category=Student
|firstname=Roberto
|lastname=Bacciocchi
|email=roberto.bacciocchi@mail.polimi.it
|advisor=Matteucci Matteo
|status=inactive
}}
work in progress

User:RobertoBacciocchi

2010-12-05T20:57:18Z

RobertoBacciocchi:

{{Student
|category=Student
|firstname=Roberto
|lastname=Bacciocchi
|email=1
|advisor=Matteucci Matteo
|status=inactive
}}
work in progress

User:RobertoBacciocchi

2010-12-05T20:53:09Z

RobertoBacciocchi: New page: work in progress

work in progress