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AgentDev

Timestamp:: Aug 9, 2023, 5:18:33 PM (16 months ago)
Author:: aditya.kj
Comment:: Added week 10 content and acknwledgement.

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Other/Summer/2023/AgentDev

-              v31
+              v32
 [#week8 -- Week 8 & 9 Contents --][[BR]]
 [#week10 -- Week 10 Contents --][[BR]]
+[#ack&ref -- Acknowledgement and References --][[BR]]
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 <h4>Summary</h4>
 <p>During this week, we spent some time discussing how we will be storing the data that will be collected from CARLA sensors. We have decided to use Django along with django-rest-framework to create the REST API and connect it to our Postgres database. We were able to successfully implement the RGB image model/schema and successfully test the Create, Read, Update, and Delete operations with the RGB model. In other words, we are now able to store and retrieve RGB images from the database through the REST API.</p>
+<p>During this week, we spent some time discussing how we will be storing the data that will be collected from CARLA sensors. We have decided to use Django along with django-rest-framework to create the REST API and connect it to our PostgreSQL database. We were able to successfully implement the RGB image model/schema and successfully test the Create, Read, Update, and Delete operations with the RGB model. In other words, we are now able to store and retrieve RGB images from the database through the REST API.</p>
 <p>While experimenting with CARLA cameras, we ran into some bugs where the image being collected was corrupted and did not display a clear image. The images appeared to be distorted with fast-moving horizontal stripes. Our team spent some time debugging the issue and reading between the lines of the code.</p>
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+<center>
+<figure>
+<img alt="Town-12" src="https://carla.readthedocs.io/en/latest/img/catalogue/maps/town12/town12.webp" />
+<figcaption>Town-12</figcaption>
+</figure>
+</center>
 <h4>Next Steps</h4>
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 <h4>Summary</h4>
+<p>During the final week, we spent time collecting statistical and graphical data by having our scenarios driven by different subjects. The data that was collected included the Braking data, the number of collisions that the subject had during the course of the scenario, the changes in the steering angle, the changes in the speed and also the lane invasions.
+</p>
+<h4>Future Goals</h4>
+<ul>
+<li>Loading the Town-12 and having more scenarios in it for large-scale testing with the help of better hardware support. </li>
+<li>Integrating the Carla PazNet model and training the model using the data collected from scenarios.</li>
+</ul>
+<h4>Resources</h4>
+<ul>
+<li><a href="https://docs.google.com/presentation/d/1l1sBJccgTNPLDIJUSVuwGnhMMf8rcKQkJLOSxVYmxJM/edit?usp=sharing">[Final Presentation Here]</a></li>
+</ul>
+}}}
+[=#ack&ref]
+{{{#!html
+<h4>Acknowledgement</h4>
 <p>
+We would like express our sincere gratitude to our advisor Professor Jorge Ortiz and our project mentor Navid Salami Pargoo for their invaluable guidance and support throughout the internship. We would like to thank Noreen DeCarlo, Jennifer Shane, and Ivan Seskar for giving us this wonderful learning experience at WINLAB.
 </p>
+<h4>Resources</h4>
+<ul>
+<li><a href="https://docs.google.com/presentation/d/1l1sBJccgTNPLDIJUSVuwGnhMMf8rcKQkJLOSxVYmxJM/edit?usp=sharing">[Final Presentation Here]</a></li>
+</ul>
+<h4>Poster References</h4>
+<h4>References</h4>
 <ul>
 <li>[1] T. Wu, N. S. Pargoo, and J. Ortiz, “Poster abstract: Multi-sensor fusion for in-cabin vehicular sensing applications,” in Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, ser. IPSN ’23, San Antonio, TX, USA: Association for Computing Machinery, 2023, pp. 332–333, ISBN: 9798400701184. DOI: 10.1145/3583120.3589836. [Online]. Available: https://doi.org/10.1145/3583120.3589836.
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+}}}
+}}}