Search Results for author: Parker Lusk

Found 2 papers, 1 papers with code

SOS-Match: Segmentation for Open-Set Robust Correspondence Search and Robot Localization in Unstructured Environments

no code implementations9 Jan 2024 Annika Thomas, Jouko Kinnari, Parker Lusk, Kota Kondo, Jonathan P. How

SOS-Match is a promising new approach for landmark detection and correspondence search in unstructured environments that is robust to changes in lighting and appearance and is more computationally efficient than other approaches, suggesting that the geometric arrangement of segments is a valuable localization cue in unstructured environments.

Simultaneous Localization and Mapping Zero Shot Segmentation

CLEAR: A Consistent Lifting, Embedding, and Alignment Rectification Algorithm for Multi-View Data Association

1 code implementation6 Feb 2019 Kaveh Fathian, Kasra Khosoussi, Yulun Tian, Parker Lusk, Jonathan P. How

Many robotics applications require alignment and fusion of observations obtained at multiple views to form a global model of the environment.

Clustering Graph Clustering +1

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