1 citations · 2 across the 7 of their papers we have counts for
7 papers
GaussLite: Online Task-Conditioned 3D Gaussian Splatting for Real-Time Robotic Mapping
Annika Thomas, Mason Peterson, Jonathan P. How
Existing 3D Gaussian Splatting (3DGS) systems distribute representation capacity uniformly across a scene, ignoring the fact that many downstream robotic tasks engage only a fracti…
VISTA: Monocular Segmentation-Based Mapping for Appearance and View-Invariant Global Localization
Hannah Shafferman, Annika Thomas, Jouko Kinnari +3
Global localization is critical for autonomous navigation, particularly in scenarios where an agent must localize within a map generated in a different session or by another agent,…
GRAND-SLAM: Local Optimization for Globally Consistent Large-Scale Multi-Agent Gaussian SLAM
Annika Thomas, Aneesa Sonawalla, Alex Rose +1
3D Gaussian splatting has emerged as an expressive scene representation for RGB-D visual SLAM, but its application to large-scale, multi-agent outdoor environments remains unexplor…
ROMAN: Open-Set Object Map Alignment for Robust View-Invariant Global Localization
Mason B. Peterson, Yixuan Jia, Yulun Tian +2
Global localization is a fundamental capability required for long-term and drift-free robot navigation. However, current methods fail to relocalize when faced with significantly di…
SOS-Match: Segmentation for Open-Set Robust Correspondence Search and Robot Localization in Unstructured Environments
Annika Thomas, Jouko Kinnari, Parker Lusk +2
We present SOS-Match, a novel framework for detecting and matching objects in unstructured environments. Our system consists of 1) a front-end mapping pipeline using a zero-shot se…
PUMA: Fully Decentralized Uncertainty-aware Multiagent Trajectory Planner with Real-time Image Segmentation-based Frame Alignment
Kota Kondo, Claudius T. Tewari, Mason B. Peterson +4
Fully decentralized, multiagent trajectory planners enable complex tasks like search and rescue or package delivery by ensuring safe navigation in unknown environments. However, de…
Global Localization in Unstructured Environments using Semantic Object Maps Built from Various Viewpoints
Jacqueline Ankenbauer, Parker C. Lusk, Annika Thomas +1
We present a novel framework for global localization and guided relocalization of a vehicle in an unstructured environment. Compared to existing methods, our pipeline does not rely…