모바일 로봇으로 획득한 열화상 데이터의 이상감지
- Title
- 모바일 로봇으로 획득한 열화상 데이터의 이상감지
- Authors
- LEE, DONGHYEON; CHOI, SEOHYUN; CHUNG, WAN KYUN; KIM, KEEHOON
- Date Issued
- 2021-05-20
- Publisher
- 한국로봇학회
- Abstract
- In this paper, we propose an anomaly detection framework that can analyze thermal image data acquired by mobile inspection robots. The proposed framework includes image alignment algorithm (RANSAC-flow) to handle wobbling image data and extract time-series temperature data from the successive thermal images. Also, GAN-based anomaly detection algorithm is integrated in the framework to analyze the time-series temperature data and generate alarm. The proposed framework can be a general solution for the increasing demand on autonomous safety monitoring robots.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/107012
- Article Type
- Conference
- Citation
- 제 16회 한국로봇종합학술대회, 2021-05-20
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