Details
| Originalsprache | Englisch |
|---|---|
| Seiten | 96-101 |
| Seitenumfang | 6 |
| Publikationsstatus | Veröffentlicht - 26 Okt. 2017 |
| Veranstaltung | 2017 IEEE International Symposium on Safety, Securtiy and Rescue Robotics (SSRR) - Shanghai, China, Shanghai, China Dauer: 11 Okt. 2017 → 13 Okt. 2017 |
Konferenz
| Konferenz | 2017 IEEE International Symposium on Safety, Securtiy and Rescue Robotics (SSRR) |
|---|---|
| Kurztitel | SSRR |
| Land/Gebiet | China |
| Ort | Shanghai |
| Zeitraum | 11 Okt. 2017 → 13 Okt. 2017 |
Abstract
Nowadays, mobile robots are widely used to support fire brigades in search and rescue missions. The utilization of those robots - especially under low visibility conditions due to smoke, fog or dust - is limited. Under these circumstances, environmental perception is still a huge challenge. In this work, we present an approach on using LiDAR, radar and thermal imaging in order to detect hazards that are potentially harmful to the robot or firefighters. We show the benefits of fusing LiDAR and radar before projecting temperatures recorded with a thermal imaging camera onto the range scans. Additionally, a hotspot detection method using the tempered range scans is presented. We demonstrate the functionality of our approach by teleoperating a robot through a smoky room.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Artificial intelligence
- Ingenieurwesen (insg.)
- Sicherheit, Risiko, Zuverlässigkeit und Qualität
- Mathematik (insg.)
- Steuerung und Optimierung
- Sozialwissenschaften (insg.)
- Sicherheitsforschung
Zitieren
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- BibTex
- RIS
2017. 96-101 Beitrag in 2017 IEEE International Symposium on Safety, Securtiy and Rescue Robotics (SSRR), Shanghai, China.
Publikation: Konferenzbeitrag › Paper › Forschung › Peer-Review
}
TY - CONF
T1 - Fusion of radar, LiDAR and thermal information for hazard detection in low visibility environments.
AU - Fritsche, Paul
AU - Zeise, Björn
AU - Hemme, Patrick
AU - Wagner, Bernardo
N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions. Funding Information: ACKNOWLEDGMENT This work has partly been supported within H2020-ICT by the European Commission under grant agreement number 645101 (SmokeBot).
PY - 2017/10/26
Y1 - 2017/10/26
N2 - Nowadays, mobile robots are widely used to support fire brigades in search and rescue missions. The utilization of those robots - especially under low visibility conditions due to smoke, fog or dust - is limited. Under these circumstances, environmental perception is still a huge challenge. In this work, we present an approach on using LiDAR, radar and thermal imaging in order to detect hazards that are potentially harmful to the robot or firefighters. We show the benefits of fusing LiDAR and radar before projecting temperatures recorded with a thermal imaging camera onto the range scans. Additionally, a hotspot detection method using the tempered range scans is presented. We demonstrate the functionality of our approach by teleoperating a robot through a smoky room.
AB - Nowadays, mobile robots are widely used to support fire brigades in search and rescue missions. The utilization of those robots - especially under low visibility conditions due to smoke, fog or dust - is limited. Under these circumstances, environmental perception is still a huge challenge. In this work, we present an approach on using LiDAR, radar and thermal imaging in order to detect hazards that are potentially harmful to the robot or firefighters. We show the benefits of fusing LiDAR and radar before projecting temperatures recorded with a thermal imaging camera onto the range scans. Additionally, a hotspot detection method using the tempered range scans is presented. We demonstrate the functionality of our approach by teleoperating a robot through a smoky room.
UR - http://www.scopus.com/inward/record.url?scp=85040222542&partnerID=8YFLogxK
U2 - 10.1109/ssrr.2017.8088146
DO - 10.1109/ssrr.2017.8088146
M3 - Paper
SP - 96
EP - 101
T2 - 2017 IEEE International Symposium on Safety, Securtiy and Rescue Robotics (SSRR)
Y2 - 11 October 2017 through 13 October 2017
ER -