Details
| Original language | English |
|---|---|
| Pages | 158-165 |
| Number of pages | 8 |
| Publication status | Published - 2016 |
| Event | 13th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2016 - Lisbon, Portugal Duration: 29 Jul 2016 → 31 Jul 2016 |
Conference
| Conference | 13th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2016 |
|---|---|
| Country/Territory | Portugal |
| City | Lisbon |
| Period | 29 Jul 2016 → 31 Jul 2016 |
Abstract
Many mobile robots nowadays use thermal imaging cameras (TICs) in order to enhance the environment model that is created during exploration tasks. In conventional thermography, thermal images always have to be carefully revised by human operators, which is not practicable in autonomous applications. Unknown surface emissivities are the main source of misinterpretations in thermal images. In this work, we present two methods dealing with these misinterpretations by exploiting the TIC's changing point of view. While the first approach classifies the regarded material in order to estimate improved surface temperature values, the second one is capable of detecting and removing thermal reflections. The spatial relationship between the thermal images and the regarded surface is made by using a rigidly mounted sensor stack consisting of a TIC and a 3D laser range finder, whose extrinsic calibration is described. During evaluation, we demonstrate the functionality of both approaches.
Keywords
- 3D temperature mapping, Emissivity estimation, Infrared thermography, Mobile service robotics, Temperature correction, Thermal reflection removal, Temperature Correction, Thermal Reflection Removal, Infrared Thermography, Mobile Service Robotics, 3D Temperature Mapping, Emissivity Estimation
ASJC Scopus subject areas
- Computer Science(all)
- Artificial Intelligence
- Computer Science(all)
- Information Systems
- Engineering(all)
- Control and Systems Engineering
- Computer Science(all)
- Computer Vision and Pattern Recognition
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2016. 158-165 Paper presented at 13th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2016, Lisbon, Portugal.
Research output: Contribution to conference › Paper › Research › peer review
}
TY - CONF
T1 - Temperature Correction and Reflection Removal in Thermal Images using 3D Temperature Mapping.
AU - Zeise, Björn
AU - Wagner, Bernardo
N1 - Funding information: This work has partly been supported within H2020- ICT by the European Commission under grant agreement number 645101 (SmokeBot).
PY - 2016
Y1 - 2016
N2 - Many mobile robots nowadays use thermal imaging cameras (TICs) in order to enhance the environment model that is created during exploration tasks. In conventional thermography, thermal images always have to be carefully revised by human operators, which is not practicable in autonomous applications. Unknown surface emissivities are the main source of misinterpretations in thermal images. In this work, we present two methods dealing with these misinterpretations by exploiting the TIC's changing point of view. While the first approach classifies the regarded material in order to estimate improved surface temperature values, the second one is capable of detecting and removing thermal reflections. The spatial relationship between the thermal images and the regarded surface is made by using a rigidly mounted sensor stack consisting of a TIC and a 3D laser range finder, whose extrinsic calibration is described. During evaluation, we demonstrate the functionality of both approaches.
AB - Many mobile robots nowadays use thermal imaging cameras (TICs) in order to enhance the environment model that is created during exploration tasks. In conventional thermography, thermal images always have to be carefully revised by human operators, which is not practicable in autonomous applications. Unknown surface emissivities are the main source of misinterpretations in thermal images. In this work, we present two methods dealing with these misinterpretations by exploiting the TIC's changing point of view. While the first approach classifies the regarded material in order to estimate improved surface temperature values, the second one is capable of detecting and removing thermal reflections. The spatial relationship between the thermal images and the regarded surface is made by using a rigidly mounted sensor stack consisting of a TIC and a 3D laser range finder, whose extrinsic calibration is described. During evaluation, we demonstrate the functionality of both approaches.
KW - 3D temperature mapping
KW - Emissivity estimation
KW - Infrared thermography
KW - Mobile service robotics
KW - Temperature correction
KW - Thermal reflection removal
KW - Temperature Correction
KW - Thermal Reflection Removal
KW - Infrared Thermography
KW - Mobile Service Robotics
KW - 3D Temperature Mapping
KW - Emissivity Estimation
UR - http://www.scopus.com/inward/record.url?scp=85013031947&partnerID=8YFLogxK
U2 - 10.5220/0005955801580165
DO - 10.5220/0005955801580165
M3 - Paper
SP - 158
EP - 165
T2 - 13th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2016
Y2 - 29 July 2016 through 31 July 2016
ER -