LiDAR for Search & Rescue
Major
Physics
Submission Type
Poster
Area of Study or Work
Physics
Faculty Advisor
Abdel Isakovic
Location
CNS Atrium
Start Date
4-12-2025 8:30 AM
End Date
4-12-2025 9:30 AM
Abstract
Search and rescue (SAR) missions often take place in complex and hazardous environments where rapid and accurate victim location is critical. Light Detection and Ranging (LiDAR) technology has emerged as a powerful tool in SAR efforts due to its ability to generate high-resolution 3D maps, penetrate vegetation, and operate effectively in low-light or obscured conditions. This research aims to investigate the current applications of LiDAR in SAR operations, comparing its performance with other sensing and 3D mapping technologies. Additionally, the study explores the underlying physics principles governing LiDAR’s accuracy, range, and signal processing capabilities. This project aims to propose potential improvements that could enhance LiDAR’s effectiveness in SAR scenarios. The findings will highlight how advancements in physics-based modeling, sensor optimization, and data processing could contribute to more efficient and reliable SAR missions.
LiDAR for Search & Rescue
CNS Atrium
Search and rescue (SAR) missions often take place in complex and hazardous environments where rapid and accurate victim location is critical. Light Detection and Ranging (LiDAR) technology has emerged as a powerful tool in SAR efforts due to its ability to generate high-resolution 3D maps, penetrate vegetation, and operate effectively in low-light or obscured conditions. This research aims to investigate the current applications of LiDAR in SAR operations, comparing its performance with other sensing and 3D mapping technologies. Additionally, the study explores the underlying physics principles governing LiDAR’s accuracy, range, and signal processing capabilities. This project aims to propose potential improvements that could enhance LiDAR’s effectiveness in SAR scenarios. The findings will highlight how advancements in physics-based modeling, sensor optimization, and data processing could contribute to more efficient and reliable SAR missions.