Update index.html

Author: zu-se

autonomy-dataset/index.html

@@ -62,11 +62,11 @@ <h1 class="title is-1 publication-title">Agricultural Autonomous Driving Dataset
             <div class="column is-three-quarters">
               <figure class="image">
                 <img src="./static/images/dachtreager.jpg" 
-                     alt="Fendt 728 Vario Tractor with sensor setup in agricultural field" 
+                     alt="Fendt 724 Vario Tractor with sensor setup" 
                      style="width: 100%; height: auto; border-radius: 8px; box-shadow: 0 4px 8px rgba(0,0,0,0.1);">
               </figure>
               <p class="has-text-grey mt-2 has-text-centered">
-                <em>Fendt 728 Vario Tractor equipped with multi-modal sensor suite for autonomous agricultural operations.</em>
+                <em>Fendt 724 Vario Tractor equipped with multi-modal sensor setup.</em>
               </p>
             </div>
           </div>
@@ -83,19 +83,10 @@ <h1 class="title is-1 publication-title">Agricultural Autonomous Driving Dataset
         <h2 class="title is-3">Abstract</h2>
         <div class="content has-text-justified">
           <p>
-            We present a large (5TB+) comprehensive multi-modal dataset for autonomous driving in agricultural environments,
-            captured using a sophisticated sensor setup including multiple cameras, LiDAR, GPS, and IMU sensors mounted on a Fendt 728 Variotractor.
+            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.
           </p>
           <p>
-            The dataset includes synchronized data from:
-            <strong>6 cameras</strong> (rear left/mid/right, side left/right, stereo ZED),
-            <strong>LiDAR point clouds</strong> from an Ouster sensor,
-            <strong>high-precision GPS</strong> positioning with Novatel OEM7,
-            and <strong>IMU measurements</strong> for comprehensive environmental perception.
-          </p>
-          <p>
-            This dataset is designed to support research in agricultural robotics, autonomous navigation
-            in unstructured environments, computer vision, environmental mapping and multi-modal sensor fusion.
+            This dataset is designed to support research in agricultural robotics, autonomous navigation in unstructured environments, computer vision, environmental mapping, and multi-modal sensor fusion. We are continuously expanding it to include a broader range of agricultural tasks, varying environmental conditions that affect signal quality and visibility, different crop types and growth stages, as well as diverse objects encountered in the field.   
           </p>
         </div>
       </div>