4 papers
A 360-Degree Vision Dataset for Learning Yaw Control on GPS-Denied Micro-UAVs in Disaster-Response-Relevant Environments
Niklas Voigt, Hartmut Surmann
This paper presents a novel data-driven approach to camera-based autonomy for micro-drones in GPS-denied, radio-challenging indoor environments. The target application is disaster…
Redefining Recon: Bridging Gaps with UAVs, 360 degree Cameras, and Neural Radiance Fields
Hartmut Surmann, Niklas Digakis, Jan-Nicklas Kremer +3
In the realm of digital situational awareness during disaster situations, accurate digital representations, like 3D models, play an indispensable role. To ensure the safety of resc…
UAVs and Neural Networks for search and rescue missions
Hartmut Surmann, Artur Leinweber, Gerhard Senkowski +2
In this paper, we present a method for detecting objects of interest, including cars, humans, and fire, in aerial images captured by unmanned aerial vehicles (UAVs) usually during…
Lessons from Robot-Assisted Disaster Response Deployments by the German Rescue Robotics Center Task Force
Hartmut Surmann, Ivana Kruijff-Korbayova, Kevin Daun +11
Earthquakes, fire, and floods often cause structural collapses of buildings. The inspection of damaged buildings poses a high risk for emergency forces or is even impossible, thoug…