TY  - JOUR
T1  - Deep-Learning Based Missing Child Detection Assistance System Using Autonomous Robot
AU  - Choi, Yeong Eun 
AU  - Kang, Su Hyeon 
AU  - Kim, So Yeon 
AU  - Shin, Soo Young 
JO  - The Journal of Korean Institute of Communications and Information Sciences
PY  - 2024
DA  - 2024/1/1
DO  - 10.7840/kics.2024.49.7.1021
KW  - Height estimation
KW  - Multi-label classification
KW  - SLAM(Simultaneous Localization and Mapping)
KW  - Path planning
AB  - This paper proposes a deep learning-based missing child detection assistance system using autonomous robots. The proposed system utilizes the clothing and height information of the missing child, which is received upon reporting a missing child. It employs deep learning-based multi-label classification techniques to search for clothing information and utilizes object detection techniques along with distance information to search for height information. Autonomous robots are employed, utilizing SLAM(Simultaneous Localization and Mapping) to perform path planning and localization based on a pre-generated 2D map. Finally, when the autonomous robot successfully identifies the missing child using clothing and height information, its location is transmitted to the Ground Control Station (GCS).