2 citations · 4 across the 7 of their papers we have counts for
8 papers · 1 filter
SCORE: A Second-Order Conic Initialization for Range-Aided SLAM
Alan Papalia, Joseph Morales, Kevin J. Doherty +2
We present a novel initialization technique for the range-aided simultaneous localization and mapping (RA-SLAM) problem. In RA-SLAM we consider measurements of point-to-point dista…
Spectral Measurement Sparsification for Pose-Graph SLAM
Kevin J. Doherty, David M. Rosen, John J. Leonard
Simultaneous localization and mapping (SLAM) is a critical capability in autonomous navigation, but in order to scale SLAM to the setting of "lifelong" SLAM, particularly under mem…
Performance Guarantees for Spectral Initialization in Rotation Averaging and Pose-Graph SLAM
Kevin J. Doherty, David M. Rosen, John J. Leonard
In this work we present the first initialization methods equipped with explicit performance guarantees adapted to the pose-graph simultaneous localization and mapping (SLAM) and ro…
A Multi-Hypothesis Approach to Pose Ambiguity in Object-Based SLAM
Jiahui Fu, Qiangqiang Huang, Kevin Doherty +2
In object-based Simultaneous Localization and Mapping (SLAM), 6D object poses offer a compact representation of landmark geometry useful for downstream planning and manipulation ta…
Consensus-Informed Optimization Over Mixtures for Ambiguity-Aware Object SLAM
Ziqi Lu, Qiangqiang Huang, Kevin Doherty +1
Building object-level maps can facilitate robot-environment interactions (e.g. planning and manipulation), but objects could often have multiple probable poses when viewed from a s…
Advances in Inference and Representation for Simultaneous Localization and Mapping
David M. Rosen, Kevin J. Doherty, Antonio Teran Espinoza +1
Simultaneous localization and mapping (SLAM) is the process of constructing a global model of an environment from local observations of it; this is a foundational capability for mo…