Demo abstract: Perception vs. reality - never believe in what you see

Y. Huang; F.-J. Wu; C. Hakert; G. von der Brüggen; K.-H. Chen; J.-J. Chen; Y. Gong; K. Prakash

doi:10.1109/IPSN48710.2020.000-5

Demo abstract: Perception vs. reality - never believe in what you see

Y. Huang, F.-J. Wu, C. Hakert, G. von der Brüggen, K.-H. Chen, J.-J. Chen, Y. Gong, K. Prakash

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

Abstract

The increasing availability of heterogeneous ambient sensing systems challenges the according information processing systems to analyse and compare a variety of different systems in a single scenario. For instance, localization of objects can be performed by image processing systems as well as by radio based localization. If such systems are utilized to localize the same objects, synergy of the outputs is important to enable comparable and meaningful analysis. This demo showcases the practical deployment and challenges of such an example system.

Original language	English
Title of host publication	Proceedings - 2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2020
ISBN (Electronic)	978-1-7281-5497-8
DOIs	https://doi.org/10.1109/IPSN48710.2020.000-5
Publication status	Published - 2020
Externally published	Yes
Event	19th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2020 - Sydney, Virtual, Australia Duration: 21 Apr 2020 → 24 Apr 2020 Conference number: 19

Conference

Conference	19th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2020
Abbreviated title	IPSN 2020
Country/Territory	Australia
City	Sydney, Virtual
Period	21/04/20 → 24/04/20

Access to Document

10.1109/IPSN48710.2020.000-5

Cite this

@inproceedings{9eec791855954c6f85d81843f7e09807,

title = "Demo abstract: Perception vs. reality - never believe in what you see",

abstract = "The increasing availability of heterogeneous ambient sensing systems challenges the according information processing systems to analyse and compare a variety of different systems in a single scenario. For instance, localization of objects can be performed by image processing systems as well as by radio based localization. If such systems are utilized to localize the same objects, synergy of the outputs is important to enable comparable and meaningful analysis. This demo showcases the practical deployment and challenges of such an example system.",

author = "Y. Huang and F.-J. Wu and C. Hakert and {von der Br{\"u}ggen}, G. and K.-H. Chen and J.-J. Chen and Y. Gong and K. Prakash",

year = "2020",

doi = "10.1109/IPSN48710.2020.000-5",

language = "English",

booktitle = "Proceedings - 2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2020",

note = "19th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2020, IPSN 2020 ; Conference date: 21-04-2020 Through 24-04-2020",

}

Huang, Y, Wu, F-J, Hakert, C, von der Brüggen, G, Chen, K-H, Chen, J-J, Gong, Y & Prakash, K 2020, Demo abstract: Perception vs. reality - never believe in what you see. in Proceedings - 2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2020. 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2020, Sydney, Virtual, Australia, 21/04/20. https://doi.org/10.1109/IPSN48710.2020.000-5

TY - GEN

T1 - Demo abstract: Perception vs. reality - never believe in what you see

AU - Huang, Y.

AU - Wu, F.-J.

AU - Hakert, C.

AU - von der Brüggen, G.

AU - Chen, K.-H.

AU - Chen, J.-J.

AU - Gong, Y.

AU - Prakash, K.

N1 - Conference code: 19

PY - 2020

Y1 - 2020

N2 - The increasing availability of heterogeneous ambient sensing systems challenges the according information processing systems to analyse and compare a variety of different systems in a single scenario. For instance, localization of objects can be performed by image processing systems as well as by radio based localization. If such systems are utilized to localize the same objects, synergy of the outputs is important to enable comparable and meaningful analysis. This demo showcases the practical deployment and challenges of such an example system.

AB - The increasing availability of heterogeneous ambient sensing systems challenges the according information processing systems to analyse and compare a variety of different systems in a single scenario. For instance, localization of objects can be performed by image processing systems as well as by radio based localization. If such systems are utilized to localize the same objects, synergy of the outputs is important to enable comparable and meaningful analysis. This demo showcases the practical deployment and challenges of such an example system.

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85086895087&partnerID=MN8TOARS

U2 - 10.1109/IPSN48710.2020.000-5

DO - 10.1109/IPSN48710.2020.000-5

M3 - Conference contribution

BT - Proceedings - 2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2020

T2 - 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2020

Y2 - 21 April 2020 through 24 April 2020

ER -

Demo abstract: Perception vs. reality - never believe in what you see

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this