Effective searching method with airborne and ground-penetrating radar and autonomous navigation techniques for large-scale natural disasters

2017 Fiscal Year Final Research Report

• Project/Area Number: 15H02997
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Natural disaster / Disaster prevention science
• Research Institution: Sendai National College of Technology
• Principal Investigator: Sonoda Jun 仙台高等専門学校, 総合工学科, 教授 (30290696)
• Co-Investigator(Kenkyū-buntansha): 渡邉 学 東京電機大学, 理工学部, 研究員 (10371147) ; 金澤 靖 豊橋技術科学大学, 工学(系)研究科(研究院), 准教授 (50214432) ; 米澤 千夏 東北大学, 農学研究科, 准教授 (60404844)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: 地中レーダ / 航空機搭載レーダ / 自然災害 / 工学的捜索手法 / 人工知能 / 深層学習 / ディープラーニング

Outline of Final Research Achievements

We develop a effective searching method for large-scale natural disasters such as the Great East Japan Earthquake. In this study, a searching method with airborne and ground-penetrating radar is proposed for wide-area searching. Moreover the proposed method is applied to search for missing people of the Great East Japan Earthquake. It is shown that many underground objects are detected by the proposed method.

Free Research Field

電磁波工学