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== Geospatial Research opportunities at DIT, Ireland (Masters level) ==
Dear colleague,
I would be grateful if you would circulate details of two research (at
Masters level) opportunities here at the Dublin Institute of Technology
(DIT), Ireland.  Research would normally take two years and the student
would receive a scholarship of Euro 12,500 per year.
The candidate should normally hold an honours bachelors degree at level 2.1
or higher (Enquiries relating to equivalence of qualifications may be
directed via the URL below).
The projects must begin before the end of October 2006. Please feel free to
pass this notice to colleagues.
Details of the projects, together with application instructions, may be
found at
http://www.dit.ie/DIT/study/graduate/research/built.html
I have included the abstracts below.
With my best regards
Kevin Mooney
Department of Spatial Information Sciences<br/>
The Dublin Institute of Technology<br/>
Bolton Street<br/>
Dublin 1.<br/>
Ireland.
-----------
Developments of Algorithms for the Identification of Building Surface Types
from Terrestrial Laser Scanner Return Intensity Measurements
ABSTRACT
Terrestrial laser scanning is a rapidly-developing technology that acquires
three-dimensional coordinates of objects quickly, remotely, automatically
and systematically. The hardware is becoming ever more sophisticated and
portable, and the dedicated software required to process the large volumes
of data collected is developing. Applications of terrestrial laser scanning
include the measurement of complex structures and the mapping of national
monuments for maintenance/archiving purposes. Currently, most research
relates to geometric accuracy evaluation and 3D information extraction from
the raw data.
Many systems record laser return intensity in addition to three-dimensional
coordinates but, to date, little research has been carried-out on return
intensity. The principal factors that influence return intensity are
distance to object and surface reflectivity which, in turn, is related to
surface type. Accordingly, it is proposed to develop algorithms that relate
terrestrial laser scanner return intensity to surface type, particularly
with respect to buildings. From this a building surface type classification
algorithm, based on terrestrial laser scanner return intensity, will be
developed and evaluated. Should it prove successful, this research would
enable more information to be extracted from terrestrial laser scanner data
than is currently the case and would, therefore, improve the utilization of
this rapid and non-contact technology for the surveying of buildings.
--------------
Extraction of Physical and Environmental Information for Irish Roads from
Airbourne Laser Scanner Data (LiDAR-Roads)
ABSTRACT
The proposed project will evaluate the performance of airborne laser
scanning (LiDAR) technology in determining key spatial data related to
roads.  LiDAR data consists of spatially referenced 3D point information in
the form of a cloud of high accuracy and closely spaced object points
acquired from an aircraft (helicopter or fixed wing) flying once over and
along a road axis at flying heights from 100 m to 2000 m.  The high accuracy
and close spacing of the points means that this technology has the potential
of automatically or semi-automatically yielding a variety of important road
data such as road geometry, surface condition, location and dimensions of
road objects (road signs, traffic lights and other fixed objects), type,
location and dimensions of adjacent vegetation, buildings and overhead
cables.  Such data will contribute to the improved management of Irish roads
and the efficient planning of remedial/improvement works, particularly
relevant in the context of road safety.
The project will exploit extensive existing LiDAR data sets (Department of
Spatial Information Sciences) at various flying heights.  It will report on
the systematic and random accuracies of the road data resulting from
detailed scientific comparison between the processed LiDAR data and
rigorously verified ground truth.
== Promoce ==
== Promoce ==
Promoce absolventů oboru Geodézie a kartografie, Fakulty stavební ČVUT v Praze se konají v úterý 12. září v aule Betlémské kaple od 11:30.
Promoce absolventů oboru Geodézie a kartografie, Fakulty stavební ČVUT v Praze se konají v úterý 12. září v aule Betlémské kaple od 11:30.

Verze z 6. 7. 2006, 17:24

Geospatial Research opportunities at DIT, Ireland (Masters level)

Dear colleague,

I would be grateful if you would circulate details of two research (at Masters level) opportunities here at the Dublin Institute of Technology (DIT), Ireland. Research would normally take two years and the student would receive a scholarship of Euro 12,500 per year.

The candidate should normally hold an honours bachelors degree at level 2.1 or higher (Enquiries relating to equivalence of qualifications may be directed via the URL below).

The projects must begin before the end of October 2006. Please feel free to pass this notice to colleagues.

Details of the projects, together with application instructions, may be found at

http://www.dit.ie/DIT/study/graduate/research/built.html

I have included the abstracts below.

With my best regards

Kevin Mooney

Department of Spatial Information Sciences
The Dublin Institute of Technology
Bolton Street
Dublin 1.
Ireland.


Developments of Algorithms for the Identification of Building Surface Types from Terrestrial Laser Scanner Return Intensity Measurements

ABSTRACT

Terrestrial laser scanning is a rapidly-developing technology that acquires three-dimensional coordinates of objects quickly, remotely, automatically and systematically. The hardware is becoming ever more sophisticated and portable, and the dedicated software required to process the large volumes of data collected is developing. Applications of terrestrial laser scanning include the measurement of complex structures and the mapping of national monuments for maintenance/archiving purposes. Currently, most research relates to geometric accuracy evaluation and 3D information extraction from the raw data.

Many systems record laser return intensity in addition to three-dimensional coordinates but, to date, little research has been carried-out on return intensity. The principal factors that influence return intensity are distance to object and surface reflectivity which, in turn, is related to surface type. Accordingly, it is proposed to develop algorithms that relate terrestrial laser scanner return intensity to surface type, particularly with respect to buildings. From this a building surface type classification algorithm, based on terrestrial laser scanner return intensity, will be developed and evaluated. Should it prove successful, this research would enable more information to be extracted from terrestrial laser scanner data than is currently the case and would, therefore, improve the utilization of this rapid and non-contact technology for the surveying of buildings.


Extraction of Physical and Environmental Information for Irish Roads from Airbourne Laser Scanner Data (LiDAR-Roads)

ABSTRACT

The proposed project will evaluate the performance of airborne laser scanning (LiDAR) technology in determining key spatial data related to roads. LiDAR data consists of spatially referenced 3D point information in the form of a cloud of high accuracy and closely spaced object points acquired from an aircraft (helicopter or fixed wing) flying once over and along a road axis at flying heights from 100 m to 2000 m. The high accuracy and close spacing of the points means that this technology has the potential of automatically or semi-automatically yielding a variety of important road data such as road geometry, surface condition, location and dimensions of road objects (road signs, traffic lights and other fixed objects), type, location and dimensions of adjacent vegetation, buildings and overhead cables. Such data will contribute to the improved management of Irish roads and the efficient planning of remedial/improvement works, particularly relevant in the context of road safety.

The project will exploit extensive existing LiDAR data sets (Department of Spatial Information Sciences) at various flying heights. It will report on the systematic and random accuracies of the road data resulting from detailed scientific comparison between the processed LiDAR data and rigorously verified ground truth.


Promoce

Promoce absolventů oboru Geodézie a kartografie, Fakulty stavební ČVUT v Praze se konají v úterý 12. září v aule Betlémské kaple od 11:30.

Promotorem bude Ing. Marcela Pavlíková, za obor G se zúčastní sedm zástupců z oborových kateder(za katedru 152 jeden pedagog, za katedry 151, 153 a 154 po dvou zástupcích):

  1. doc.Ing. Radim Blažek
  2. Ing. Jan Ratiborský
  3. doc. Antonín Zeman (náhradník prof. Jan Kostelecký)
  4. Ing. Petr Buchar
  5. Ing. Jiří Cajthaml
  6. doc. Hampacher
  7. Ing. Suchá

Počty přijatých studentů pro akademický rok 2006/2007

  • obor G 111 studentů
  • obor H 48 studentů

Změna rozvrhu pro zápis do zimního semestru 2.roč.G

  • Přednáška 153IN2F se z út 3+4 vh přesouvá na pá 9+10 vh B286 (učí Čepek)
  • Přednáška 152TCVI se z út 5+6 vh přesouvá na út 3+4 vh C208 (učí Mervart).

Změna rozvrhu pro zápis do zimního semestru 3.roč.G:

  • Ruší se předmět 153INF3 a nahrazuje se předmětem 153IN2F.
  • Přednáška 153IN2F se koná v pá 9+10 vh. B286 (učí Čepek)
Cvičení
v po 9+10 vh B870
v pá 11+12 vh B870
v pá 13+14 vh B870

studenti si mohou cvičení zapsat také do skupin předmětu 153IN2F pro 2.roč.G.

prof. Ing. Aleš Čepek, CSc.
zástupce proděkana pro pedagogickou činnost

Viz též stránka Programovací jazyk C plus plus, kde jsou odpovědi na konkrétní dotazy



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