Learn to Trace Odors: Robotic Odor Source Localization via Deep Learning Methods with Real-world Experiments

Lingxiao Wang; Ziyu Yin; Shuo Pang

doi:10.1109/SoutheastCon51012.2023.10115175

Learn to Trace Odors: Robotic Odor Source Localization via Deep Learning Methods with Real-world Experiments

Lingxiao Wang
, Ziyu Yin
, Shuo Pang

Louisiana Tech University
Embry-Riddle Aeronautical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	SoutheastCon 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	524-531
Number of pages	8
ISBN (Electronic)	9781665476119
DOIs	https://doi.org/10.1109/SoutheastCon51012.2023.10115175
State	Published - 2023
Externally published	Yes
Event	2023 IEEE SoutheastCon, SoutheastCon 2023 - Orlando, United States Duration: Apr 1 2023 → Apr 16 2023

Publication series

Series	Conference Proceedings - IEEE SOUTHEASTCON
Volume	2023-April
ISSN	1091-0050

Conference

Conference	2023 IEEE SoutheastCon, SoutheastCon 2023
Country/Territory	United States
City	Orlando
Period	4/1/23 → 4/16/23

ASJC Scopus Subject Areas

Computer Networks and Communications
Software
Electrical and Electronic Engineering
Control and Systems Engineering
Signal Processing

Access to Document

10.1109/SoutheastCon51012.2023.10115175

Cite this

Learn to Trace Odors: Robotic Odor Source Localization via Deep Learning Methods with Real-world Experiments. / Wang, Lingxiao; Yin, Ziyu; Pang, Shuo.
SoutheastCon 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 524-531 (Conference Proceedings - IEEE SOUTHEASTCON, Vol. 2023-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wang, L, Yin, Z & Pang, S 2023, Learn to Trace Odors: Robotic Odor Source Localization via Deep Learning Methods with Real-world Experiments. in SoutheastCon 2023. Institute of Electrical and Electronics Engineers Inc., Conference Proceedings - IEEE SOUTHEASTCON, vol. 2023-April, pp. 524-531, 2023 IEEE SoutheastCon, SoutheastCon 2023, Orlando, United States, 4/1/23. https://doi.org/10.1109/SoutheastCon51012.2023.10115175

@inproceedings{dd37f3001e1f448e9c11d0b9c7741e6e,

title = "Learn to Trace Odors: Robotic Odor Source Localization via Deep Learning Methods with Real-world Experiments",

author = "Lingxiao Wang and Ziyu Yin and Shuo Pang",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE SoutheastCon, SoutheastCon 2023 ; Conference date: 01-04-2023 Through 16-04-2023",

year = "2023",

doi = "10.1109/SoutheastCon51012.2023.10115175",

language = "English",

series = "Conference Proceedings - IEEE SOUTHEASTCON",

pages = "524--531",

booktitle = "SoutheastCon 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Learn to Trace Odors

T2 - 2023 IEEE SoutheastCon, SoutheastCon 2023

AU - Wang, Lingxiao

AU - Yin, Ziyu

AU - Pang, Shuo

PY - 2023

Y1 - 2023

UR - https://www.scopus.com/pages/publications/85159778279

UR - https://www.scopus.com/pages/publications/85159778279#tab=citedBy

U2 - 10.1109/SoutheastCon51012.2023.10115175

DO - 10.1109/SoutheastCon51012.2023.10115175

M3 - Conference contribution

AN - SCOPUS:85159778279

T3 - Conference Proceedings - IEEE SOUTHEASTCON

SP - 524

EP - 531

BT - SoutheastCon 2023

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 1 April 2023 through 16 April 2023

ER -

Learn to Trace Odors: Robotic Odor Source Localization via Deep Learning Methods with Real-world Experiments

Publication series

Conference

ASJC Scopus Subject Areas

Access to Document

Other files and links

Fingerprint

Cite this