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Compromised agents can reconstruct sensitive imagery from public broadcasts, but CILC secures loop closure detection without revealing global descriptors.
Task-driven mapping with GaussLite boosts 3D reconstruction quality by over 2.7 dB while optimizing compute resources for robotic tasks.
PRISM achieves 100% coverage in easy and medium-difficulty scenarios, outperforming all existing methods in challenging environments with significant constraints.
Meridian achieves accurate global localization in unstructured environments without the need for area-specific training, outperforming traditional methods.
Achieve safe UAV flight in cluttered, dynamic environments without sacrificing speed by combining global risk assessment with fast, hard-constrained local replanning.
LiDAR-only dynamic object detection gets a major boost in cluttered environments by fusing temporal occupancy grids with a learned BEV dynamic prior, significantly reducing false negatives.
