Presents CoMo3R-SLAM, the first collaborative monocular dense RGB SLAM using learned feed-forward 3D priors for outdoor multi-agent systems, achieving competitive accuracy and global consistency without depth sensors or known intrinsics.
Covins: Visual-inertial slam for centralized collaboration
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MAGS-SLAM is the first monocular multi-agent Gaussian Splatting SLAM system, aligning independently scaled sub-maps with a Sim(3) pose graph and occupancy-aware Gaussian fusion.
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CoMo3R-SLAM: Collaborative Monocular Dense SLAM with Learned 3D Reconstruction Priors for Outdoor Multi-Agent Systems
Presents CoMo3R-SLAM, the first collaborative monocular dense RGB SLAM using learned feed-forward 3D priors for outdoor multi-agent systems, achieving competitive accuracy and global consistency without depth sensors or known intrinsics.
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MAGS-SLAM: Monocular Multi-Agent Gaussian Splatting SLAM for Geometrically and Photometrically Consistent Reconstruction
MAGS-SLAM is the first monocular multi-agent Gaussian Splatting SLAM system, aligning independently scaled sub-maps with a Sim(3) pose graph and occupancy-aware Gaussian fusion.
- DM$^3$-Nav: Decentralized Multi-Agent Multimodal Multi-Object Semantic Navigation