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DTSTART:20260308T080000
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DTSTART:20261101T070000
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DTSTART;TZID=America/Chicago:20260708T180000
DTEND;TZID=America/Chicago:20260708T193000
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CREATED:20260706T161125Z
LAST-MODIFIED:20260706T161125Z
UID:2240-1783533600-1783539000@hsv.ai
SUMMARY:Virtual Paper Review - Visual Navigation Models
DESCRIPTION:This week we will meet VIRTUALLY to walk through the paper associated with the dataset that we unboxed last week. We’ll go through the results they found\, and then we will check out a few of the models and their architecture. \nThe paper is: \nCuaran\, J.\, Baquero Velasquez\, A. E.\, Valverde Gasparino\, M.\, Uppalapati\, N. K.\, Sivakumar\, A. N.\, Wasserman\, J.\, … & Chowdhary\, G. (2023). Under-canopy dataset for advancing simultaneous localization and mapping in agricultural robotics. The International Journal of Robotics Research\, 02783649231215372. \nWe’ll take a look at the models in use when the dataset was created (2021) and then cover the newer models that have successfully decreased accuracy measurements and compute requirements. \nRelated Links: \n\nLink to the paper – https://www.researchgate.net/publication/375565255_Under-canopy_dataset_for_advancing_simultaneous_localization_and_mapping_in_agricultural_robotics\nORB-SLAM3: An Accurate Open-Source Library for Visual\, Visual-Inertial and Multi-Map SLAM – https://arxiv.org/abs/2007.11898\nVINS-Fusion: A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors – https://arxiv.org/abs/1901.03638\nRTAB-Map: RTAB‐Map as an open‐source lidar and visual simultaneous localization and mapping library for large‐scale and long‐term online operation – https://arxiv.org/abs/2403.06341\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nDetails: \n\nDate – 07/08/2026\nTime – 6:00 – 7:30 pm\nGoogle Meet – https://meet.google.com/qxs-bmkq-yej
URL:https://hsv.ai/event/virtual-paper-review-visual-navigation-models/
ATTACH;FMTTYPE=image/jpeg:https://hsv.ai/wp-content/uploads/2026/07/vpr-visual-navigation-models.jpg
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