| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0435994 |
| utime |
20240103205146.0 |
| mtime |
20141204235959.9 |
| WOS |
000327200403074 |
| DOI |
10.1109/CDC.2012.6426702 |
| title
(primary) (eng) |
Navigation of UAVs for tracking of atmospheric release of radiatio |
| specification |
| page_count |
6 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0436853 |
| ISBN |
978-1-4673-2066-5 |
| ISSN |
0191-2216 |
| title
|
Proceedings of the 51st IEEE Annual Conference on Decision and Control (CDC) |
| page_num |
3098-3103 |
| publisher |
| place |
New York |
| name |
IEEE Computer Society |
| year |
2012 |
|
|
| keyword |
navigation |
| keyword |
dual control |
| keyword |
active learning |
| author
(primary) |
| ARLID |
cav_un_auth*0101207 |
| name1 |
Šmídl |
| name2 |
Václav |
| full_dept (cz) |
Adaptivní systémy |
| full_dept (eng) |
Department of Adaptive Systems |
| department (cz) |
AS |
| department (eng) |
AS |
| institution |
UTIA-B |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0228606 |
| name1 |
Hofman |
| name2 |
Radek |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| institution |
UTIA-B |
| full_dept |
Department of Adaptive Systems |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
VG20102013018 |
| agency |
GA MV |
| ARLID |
cav_un_auth*0265869 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
Navigation of unmanned aerial vehicles (UAVs) is a popular and well studied topic. In this contribution, we apply the existing decision theory to the problem of tracking atmospheric pollution, specifically accidental release of radiation. The UAVs work in tandem with the stationary radiation monitoring network to estimate consequences of the radiation accident. Results of this estimation serve as supporting material for the human decision makers, whose main concern is protection of the population. We test navigation of the UAVs with respect to two loss functions: mutual information and expected misclassification of affected people. Several approximations were designed to navigate the UAVs in real time. The simulation experiments confirm that UAVs have great potential to complement limited capabilities of the stationary radiation monitoring network. |
| action |
| ARLID |
cav_un_auth*0311114 |
| name |
ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC) 2012 /51./ |
| place |
Maui, Hawai |
| dates |
10.12.2012-13.12.2012 |
| country |
US |
|
| reportyear |
2015 |
| RIV |
BC |
| num_of_auth |
2 |
| presentation_type |
PR |
| permalink |
http://hdl.handle.net/11104/0240492 |
| confidential |
S |
| arlyear |
2012 |
| mrcbU34 |
000327200403074 WOS |
| mrcbU63 |
cav_un_epca*0436853 Proceedings of the 51st IEEE Annual Conference on Decision and Control (CDC) 978-1-4673-2066-5 0191-2216 3098 3103 New York IEEE Computer Society 2012 |
|