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Bonn Sugar Beets 2016

Crop/weed perception for field robots

Indexed from an external sourceReal-worldUpdated 2017-02-13Open Source

Published by

University of Bonn Photogrammetry & Robotics

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Three months of near-daily field campaigns with the BoniRob platform over a sugar-beet farm: multi-spectral and RGB-D crop imagery, LiDAR, wheel odometry and GPS, with pixel-wise crop-versus-weed annotations across the whole growth cycle.

Indexed episode structure

Per-episode numbers RobotData has indexed locally (camera count, DoF, control rate, success rate). "Not indexed yet" means we have not recorded that number — it does not mean the publisher's data lacks observations, state or actions. See the source-backed profile above for what the publisher documents.

Observation

4 cameras

State

4 DoF

Action

20 Hz

Result

Not indexed yet

Data modalities

● RGB Video● Depth○ Joint Positions● Robot State○ Actions○ Force/Torque○ Audio○ Language Instructions● LiDAR● IMU

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