W. Hoshino
Papers
1
Total Citations
32
H-Index
1
About
W. Hoshino is a leading researcher in disaster robotics and autonomous systems, with a primary focus on developing unmanned aerial vehicle (UAV) technologies for search-and-rescue operations. Their most cited work, a 2021 study on detecting disaster victims using multi-copter drones equipped with thermographic cameras and Single Shot MultiBox Detector (SSD) object recognition, has garnered 32 citations and addresses a critical gap in emergency response. Hoshino’s major contribution lies in advancing drone-based victim detection in hazardous environments, such as earthquake-damaged buildings, where ground-based rescue robots face mobility constraints. By integrating thermal imaging with deep learning, their research enables rapid, remote identification of survivors, significantly improving response times and reducing risks to human rescuers. This work has influenced the design of lightweight, autonomous aerial systems for disaster scenarios. Hoshino’s impact is evident in the growing adoption of their methodologies in robotics and emergency management communities, and their achievements include pioneering the fusion of computer vision and UAV technology for humanitarian applications. Their research continues to shape the future of autonomous disaster response, offering scalable solutions for saving lives in complex, time-critical situations.
Research Focus
Key Achievements
Top Papers
- 1