Luis Garrido
Papers
1
Total Citations
16
H-Index
1
About
Luis Garrido is a leading researcher in autonomous systems and disaster robotics, with a focus on leveraging deep learning and multispectral imaging for critical humanitarian applications. His most-cited work, "Autonomous victim detection system based on deep learning and multispectral imagery" (2023, 16 citations), introduces a groundbreaking approach to locating victims trapped in post-disaster debris. By integrating advanced neural networks with multispectral sensors, Garrido’s system enhances the speed and accuracy of search-and-rescue operations, addressing a key bottleneck in emergency response. This research has been widely recognized for its potential to save lives in catastrophic events such as earthquakes or building collapses. Garrido’s contributions bridge computer vision, robotics, and disaster management, demonstrating how cutting-edge perception technologies can be deployed in real-world, high-stakes environments. His work has influenced subsequent studies in autonomous victim detection and continues to inspire new methods for resilient, field-ready systems. With a growing citation record, Garrido is establishing himself as a pivotal figure in the intersection of AI and humanitarian technology.
Research Focus
Key Achievements
Top Papers
- 1