4 citations · 4 across the 7 of their papers we have counts for
5 papers · 1 filter
MultiFly: A Real-World Multimodal Aerial Dataset with Annotation-Efficient Label Transfer and Cross-Modal Semantic Consistency
Markus Gross, Andreas Greiner, Taehyoung Kim +12
We introduce MultiFly, a real-world, low-altitude UAV dataset for semantic perception across RGB, thermal, LiDAR, and radar modalities. MultiFly provides 17,272 synchronized sample…
GMT: Goal-Conditioned Multimodal Transformer for 6-DOF Object Trajectory Synthesis in 3D Scenes
Huajian Zeng, Abhishek Saroha, Daniel Cremers +1
Synthesizing controllable 6-DOF object manipulation trajectories in 3D environments is essential for enabling robots to interact with complex scenes, yet remains challenging due to…
SegFly: A Dataset and 2D-3D-2D Paradigm for Aerial RGB-Thermal Semantic Segmentation at Scale
Markus Gross, Sai Bharadhwaj Matha, Rui Song +4
Semantic segmentation for uncrewed aerial vehicles (UAVs) is fundamental for aerial scene understanding, yet existing RGB and RGB-T datasets remain limited in scale, diversity, and…
SafeLand: Safe Autonomous Landing in Unknown Environments with Bayesian Semantic Mapping
Markus Gross, Andreas Greiner, Sai Bharadhwaj Matha +3
Autonomous landing of uncrewed aerial vehicles (UAVs) in unknown, dynamic environments poses significant safety challenges, particularly near people and infrastructure, as UAVs tra…
DrivIng: A Large-Scale Multimodal Driving Dataset with Full Digital Twin Integration
Dominik Rößle, Xujun Xie, Adithya Mohan +3
Perception is a cornerstone of autonomous driving, enabling vehicles to understand their surroundings and make safe, reliable decisions. Developing robust perception algorithms req…