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Update dataset size, fix NVIDIA casing, remove 'in press' from windrow citation
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -63,7 +63,8 @@ <h1 class="title is-1 publication-title">Agricultural Autonomous Driving Dataset
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<div class="hero-highlights">
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<span class="hero-pill">25 TB and growing</span>
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<span class="hero-pill">60 h (40 TB) of field recordings</span>
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<span class="hero-pill">19 h (13 TB) at farmyards</span>
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<span class="hero-pill">Multi-camera + stereo vision</span>
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<span class="hero-pill">LiDAR and GNSS/INS</span>
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<span class="hero-pill">Field robotics research</span>
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<h2 class="title is-3">Abstract</h2>
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<div class="content has-text-justified">
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<p>
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We present a large-scale (25TB and growing) multi-modal dataset containing raw environmental data collected during routine farming operations. The data was continuously recorded using a custom-built, rugged sensor setup mounted on a Fendt 724 Vario tractor.
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We present a large-scale (60 h / 40 TB of field recordings and 19 h / 13 TB at farmyards) multi-modal dataset containing raw environmental data collected during routine farming operations. The data was continuously recorded using a custom-built, rugged sensor setup mounted on a Fendt 724 Vario tractor.
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<p>
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This dataset is designed to support research in agricultural robotics, autonomous navigation in unstructured environments, computer vision, environmental mapping, and multi-modal sensor fusion.
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<li>Ouster OS0 LiDAR (3D point clouds)</li>
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<li>Blickfeld Qb2 LiDAR (3D point clouds)</li>
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<li>Novatel Smart7/Smart2 GNSS/INS/RTK/NTRIP</li>
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<li>NVidia Jetson Orin AGX</li>
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<li>NVIDIA Jetson Orin AGX</li>
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<li>Teltonica RUTX50 5G Router</li>
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<li>MittX Roof Bar (Customized)</li>
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<li>10x Hella LED Black Magic Cube 3.2" 3000 lm</li>
@@ -273,7 +274,7 @@ <h3 class="title is-4">Real-Time Windrow Detection from Onboard Tractor Sensors
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<div class="citation-block">
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<strong>Citation</strong>
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<p>
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L. Gunreben, N. Heider, S. Z&uuml;rner, M. Schieck, and B. Franczyk, "Real-time windrow detection from onboard tractor sensors for automated following," in 46. GIL-Jahrestagung, Gesellschaft f&uuml;r Informatik e.V., 2026, in press.
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L. Gunreben, N. Heider, S. Z&uuml;rner, M. Schieck, and B. Franczyk, "Real-time windrow detection from onboard tractor sensors for automated following," in 46. GIL-Jahrestagung, Gesellschaft f&uuml;r Informatik e.V., 2026.
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</p>
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@@ -324,9 +325,9 @@ <h2 class="title is-3" style="margin-left: 3rem;">Funded by</h2>
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<img src="./static/images/rubin_logo.jpg"
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alt="Rubin Logo"
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style="height: 80px; border: 0px solid #ccc;">
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<img src="./static/images/nvidia_logo.png"
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alt="NVIDIA Research Grant Logo"
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style="height: 80px; border: 0px solid #ccc;">
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<img src="./static/images/nvidia_logo.png"
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alt="NVIDIA Research Grant Logo"
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style="height: 120px; border: 0px solid #ccc;">
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</div>
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