2 citations · 2 across the 2 of their papers we have counts for
3 papers
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…
Variational Filtering with Copula Models for SLAM
John D. Martin, Kevin Doherty, Caralyn Cyr +2
The ability to infer map variables and estimate pose is crucial to the operation of autonomous mobile robots. In most cases the shared dependency between these variables is modeled…
Probabilistic Data Association via Mixture Models for Robust Semantic SLAM
Kevin Doherty, David Baxter, Edward Schneeweiss +1
Modern robotic systems sense the environment geometrically, through sensors like cameras, lidar, and sonar, as well as semantically, often through visual models learned from data,…