Justin Tomasi — accepted AI-conference papers

2021

Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching

Justin Tomasi, Brandon Wagstaff, Steven L. Waslander, Jonathan Kelly

RA-L 2021

Successful visual navigation depends upon capturing images that contain sufficient useful information. In this letter, we explore a data-driven approach to account for environmental lighting changes, improving the quality of images for use in visual odometry (VO) or visual simultaneous localization

Cited by 38 Source ↗Scholar ↗

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 ↗