Aug 2, 2020 · Many modern simultaneous localization and mapping (SLAM) techniques rely on sparse landmark-based maps due to their real-time performance.

Oct 25, 2020 · This filter uses estimated spatial-temporal priors of geometric objects, allowing for dynamic and semi-static objects to be removed from a.

Abstract— Many modern simultaneous localization and map- ping (SLAM) techniques rely on sparse landmark-based maps due to their real-time performance.

Oct 24, 2020 · To accomplish this, landmarks are clustered into cliques and a filter is developed to estimate their persistence jointly among observations of ...

Better Together: Online Probabilistic Clique Change Detection in 3D Landmark-Based Maps Conference Proceeding uri icon.

This filter uses estimated spatial-temporal priors of geometric objects, allowing for dynamic and semi-static objects to be removed from a formally static map.

Aug 2, 2020 · This work addresses changes in complex three-dimensional environments with the creation of a probabilistic filter that operates on the ...

A new method for landmark persistence change detection well suited for the challenges of complicated 3D worlds which wasn't previously addressed by prior work.

(2) For the low-texture environment, this paper proposes an adaptive object rasterization algorithm that fully takes advantage of the object features by ...

My first publication was Better Together: Online Probabilistic Clique Change Detection in 3D Landmark-Based Maps and I am currently working on radar ...