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cs.RO2024
Hierarchical Pose Estimation and Mapping with Multi-Scale Neural Feature Fields
Evgenii Kruzhkov, Alena Savinykh, Sven Behnke
Robotic applications require a comprehensive understanding of the scene. In recent years, neural fields-based approaches that parameterize the entire environment have become popula…
cs.RO2024
LiDAR-based Registration against Georeferenced Models for Globally Consistent Allocentric Maps
Jan Quenzel, Linus T. Mallwitz, Benedikt T. Arnold +1
Modern unmanned aerial vehicles (UAVs) are irreplaceable in search and rescue (SAR) missions to obtain a situational overview or provide closeups without endangering personnel. How…
cs.RO2024
MOTPose: Multi-object 6D Pose Estimation for Dynamic Video Sequences using Attention-based Temporal Fusion
Arul Selvam Periyasamy, Sven Behnke
Cluttered bin-picking environments are challenging for pose estimation models. Despite the impressive progress enabled by deep learning, single-view RGB pose estimation models perf…