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Sean L. Bowman

2 accepted papers

2020

Reactive Semantic Planning in Unexplored Semantic Environments Using Deep Perceptual Feedback

RA-L 2020

This letter presents a reactive planning system that enriches the topological representation of an environment with a tightly integrated semantic representation, achieved by incorporating and exploiting advances in deep perceptual learning and probabilistic semantic reasoning. Our architecture combi

Cited by 34SourceScholar
2017

Probabilistic data association for semantic SLAM

ICRA 2017poster

Traditional approaches to simultaneous localization and mapping (SLAM) rely on low-level geometric features such as points, lines, and planes. They are unable to assign semantic labels to landmarks observed in the environment. Furthermore, loop closure recognition based on low-level features is ofte…

Cited by 605SourceScholar