Abstract
This paper addresses the problem of target detection in dynamic environments. A key challenge here is to simultaneously achieve high probabilities of correct detection with low false alarm rates under limited computation and communication resources. To this end, a procedure of binary hypothesis testing is proposed based on agglomerative hierarchical feature clustering. The proposed procedure has been experimentally validated in the laboratory setting on a mobile robot for target detection by using multiple homogeneous (with different orientations) infrared sensors in the presence of changing ambient light intensities. The experimental results show that the proposed target detection procedure with feature-level sensor fusion outperforms those with decision-level sensor fusion.
| Original language | English (US) |
|---|---|
| Title of host publication | ACC 2015 - 2015 American Control Conference |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2433-2438 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781479986842 |
| DOIs | |
| State | Published - Jul 28 2015 |
| Event | 2015 American Control Conference, ACC 2015 - Chicago, United States Duration: Jul 1 2015 → Jul 3 2015 |
Publication series
| Name | Proceedings of the American Control Conference |
|---|---|
| Volume | 2015-July |
| ISSN (Print) | 0743-1619 |
Other
| Other | 2015 American Control Conference, ACC 2015 |
|---|---|
| Country | United States |
| City | Chicago |
| Period | 7/1/15 → 7/3/15 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
Cite this
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Feature level sensor fusion for target detection in dynamic environments. / Li, Yue; Jha, Devesh K.; Ray, Asok; Wettergren, Thomas A.
ACC 2015 - 2015 American Control Conference. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2433-2438 7171097 (Proceedings of the American Control Conference; Vol. 2015-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Feature level sensor fusion for target detection in dynamic environments
AU - Li, Yue
AU - Jha, Devesh K.
AU - Ray, Asok
AU - Wettergren, Thomas A.
PY - 2015/7/28
Y1 - 2015/7/28
N2 - This paper addresses the problem of target detection in dynamic environments. A key challenge here is to simultaneously achieve high probabilities of correct detection with low false alarm rates under limited computation and communication resources. To this end, a procedure of binary hypothesis testing is proposed based on agglomerative hierarchical feature clustering. The proposed procedure has been experimentally validated in the laboratory setting on a mobile robot for target detection by using multiple homogeneous (with different orientations) infrared sensors in the presence of changing ambient light intensities. The experimental results show that the proposed target detection procedure with feature-level sensor fusion outperforms those with decision-level sensor fusion.
AB - This paper addresses the problem of target detection in dynamic environments. A key challenge here is to simultaneously achieve high probabilities of correct detection with low false alarm rates under limited computation and communication resources. To this end, a procedure of binary hypothesis testing is proposed based on agglomerative hierarchical feature clustering. The proposed procedure has been experimentally validated in the laboratory setting on a mobile robot for target detection by using multiple homogeneous (with different orientations) infrared sensors in the presence of changing ambient light intensities. The experimental results show that the proposed target detection procedure with feature-level sensor fusion outperforms those with decision-level sensor fusion.
UR - http://www.scopus.com/inward/record.url?scp=84940951118&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84940951118&partnerID=8YFLogxK
U2 - 10.1109/ACC.2015.7171097
DO - 10.1109/ACC.2015.7171097
M3 - Conference contribution
AN - SCOPUS:84940951118
T3 - Proceedings of the American Control Conference
SP - 2433
EP - 2438
BT - ACC 2015 - 2015 American Control Conference
PB - Institute of Electrical and Electronics Engineers Inc.
ER -