101 citations · 180 across the 13 of their papers we have counts for
6 papers · 1 filter
Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles
Simon Bultmann, Jan Quenzel, Sven Behnke
Unmanned aerial vehicles (UAVs) equipped with multiple complementary sensors have tremendous potential for fast autonomous or remote-controlled semantic scene analysis, e.g., for d…
LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using Permutohedral Lattices
Radu Alexandru Rosu, Peer Schütt, Jan Quenzel +1
Deep convolutional neural networks (CNNs) have shown outstanding performance in the task of semantically segmenting images. Applying the same methods on 3D data still poses challen…
Autonomous Fire Fighting with a UAV-UGV Team at MBZIRC 2020
Jan Quenzel, Malte Splietker, Dmytro Pavlichenko +6
Every day, burning buildings threaten the lives of occupants and first responders trying to save them. Quick action is of essence, but some areas might not be accessible or too dan…
Team NimbRo's UGV Solution for Autonomous Wall Building and Fire Fighting at MBZIRC 2020
Christian Lenz, Jan Quenzel, Arul Selvam Periyasamy +7
Autonomous robotic systems for various applications including transport, mobile manipulation, and disaster response are becoming more and more complex. Evaluating and analyzing suc…
Real-time Multi-Adaptive-Resolution-Surfel 6D LiDAR Odometry using Continuous-time Trajectory Optimization
Jan Quenzel, Sven Behnke
Simultaneous Localization and Mapping (SLAM) is an essential capability for autonomous robots, but due to high data rates of 3D LiDARs real-time SLAM is challenging. We propose a r…
Autonomous Flight in Unknown GNSS-denied Environments for Disaster Examination
Daniel Schleich, Marius Beul, Jan Quenzel +1
Micro aerial vehicles (MAVs) have high potential for information gathering tasks to support situation awareness in search and rescue scenarios. Manually controlling MAVs in such sc…