Merge pull request #104 from ucsdwcsng/satyam-dev

cover video update
ucsdwcsng · Jan 3, 2025 · 1a72575 · 1a72575
2 parents b849f28 + 6cd7a7d
commit 1a72575
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Showing 2 changed files with 5 additions and 3 deletions.
diff --git a/_layouts/publication.html b/_layouts/publication.html
@@ -469,14 +469,14 @@ <h2>Press Coverage</h2>
 
               <!-- Conditional Banner Below Conference Information -->
               {% if page.banner %}
-              <div style="margin-top: 10px; padding: 10px 20px; background-color: #f8f9fa; border: 1px solid #e0e0e0; border-radius: 5px; text-align: center; font-weight: bold; color: #007BFF;">
+              <div style="margin-top: 10px; margin-bottom: 30px; padding: 10px 20px; background-color: #f8f9fa; border: 1px solid #e0e0e0; border-radius: 5px; text-align: center; font-weight: bold; color: #007BFF;">
                 {{ page.banner }}
               </div>
               {% endif %}
 
               {% if page.video!= blank %}
               <center>
-                <iframe width="768" height="432" max-width="100%" src="{{page.video}}" frameborder="0"
+                <iframe width="768" height="432" max-width="100%" src="{{page.video}}" frameborder="1"
                   allowfullscreen></iframe>
               </center>
               <br>

diff --git a/_posts/2024-12-10-c-shenron.md b/_posts/2024-12-10-c-shenron.md
@@ -4,6 +4,8 @@ title : "C-Shenron: A Realistic Radar Simulation Framework for CARLA"
 short_title: "C-Shenron"
 tags: Vehicle
 cover: /assets/images/c-shenron/c-shenron.png
+video: https://www.youtube.com/embed/ZC8FzF_mzpY?si=dfd4X2T-N4IoerUP
+# video_str: placeholder
 conference: "Submitted to CVPR 2025"
 authors: "Satyam Srivastava, Jerry Li, Pushkal Mishra, Kshitiz Bansal, Dinesh Bharadia"
 author_list:
@@ -43,7 +45,7 @@ description: # all combinations are possible: (title+text+image, title+image, te
         <p>The <a href="https://github.com/autonomousvision/carla_garage">Transfuser++ model</a> is the state-of-the-art End-to-End driving model that utilizes Camera and LiDAR sensors for perception and path planning. The model is trained on data from an expert driver provided by CARLA and it predicts the future waypoints/direction and the velocity of the ego vehicle. We substitute the LiDAR input with our integrated C-Shenron radar sensor and re-train multiple models with varying radar views. In our results, we showcase that using radar sensors have improved the driving score and overall situational awareness of the model, indicating the accuracy of our sensor.</p>
     - title: Sensor Views
       image: /assets/images/c-shenron/c-shenron.png
-      text: "Comparison of views from Camera, Semantic LiDAR, and Shenron Radar in CARLA simulator."
+      text: <center>Comparison of views from Camera, Semantic LiDAR, and Shenron Radar in CARLA simulator.</center>
 
 # driving_video: # to add the driving video 
 #     - desc: placeholder