Lee E. Clement — accepted AI-conference papers

2020

Learning Matchable Image Transformations for Long-Term Metric Visual Localization

Lee E. Clement, Mona Gridseth, Justin Tomasi, Jonathan Kelly

RA-L 2020

Long-term metric self-localization is an essential capability of autonomous mobile robots, but remains challenging for vision-based systems due to appearance changes caused by lighting, weather, or seasonal variations. While experience-based mapping has proven to be an effective technique for bridgi

Cited by 16 Source ↗code ↗Scholar ↗

2018

How to Train a CAT: Learning Canonical Appearance Transformations for Direct Visual Localization Under Illumination Change

Lee E. Clement, Jonathan Kelly

RA-L 2018

Direct visual localization has recently enjoyed a resurgence in popularity with the increasing availability of cheap mobile computing power. The competitive accuracy and robustness of these algorithms compared to state-of-the-art feature-based methods, as well as their natural ability to yield dense

Cited by 26 Source ↗code ↗Scholar ↗