Changes between Version 31 and Version 32 of Other/Summer/2023/AgentDev


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Timestamp:
Aug 9, 2023, 5:18:33 PM (11 months ago)
Author:
aditya.kj
Comment:

Added week 10 content and acknwledgement.

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  • Other/Summer/2023/AgentDev

    v31 v32  
    2929[#week8 -- Week 8 & 9 Contents --][[BR]]
    3030[#week10 -- Week 10 Contents --][[BR]]
    31 
     31[#ack&ref -- Acknowledgement and References --][[BR]]
    3232
    3333[=#week1]
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    6464<hr />
    6565}}}
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    6769{{{#!html
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    9597</ul>
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    104108</ul>
    105109<h4>Summary</h4>
    106 <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>
     110<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>
    107111
    108112<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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    232238</p>
    233239
     240<center>
     241<figure>
     242<img alt="Town-12" src="https://carla.readthedocs.io/en/latest/img/catalogue/maps/town12/town12.webp" />
     243<figcaption>Town-12</figcaption>
     244</figure>
     245</center>
    234246
    235247<h4>Next Steps</h4>
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    253265
    254266<h4>Summary</h4>
     267
     268<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. 
     269</p>
     270
     271<h4>Future Goals</h4>
     272<ul>
     273<li>Loading the Town-12 and having more scenarios in it for large-scale testing with the help of better hardware support. </li>
     274<li>Integrating the Carla PazNet model and training the model using the data collected from scenarios.</li>
     275</ul>
     276
     277
     278<h4>Resources</h4>
     279<ul>
     280<li><a href="https://docs.google.com/presentation/d/1l1sBJccgTNPLDIJUSVuwGnhMMf8rcKQkJLOSxVYmxJM/edit?usp=sharing">[Final Presentation Here]</a></li>
     281</ul>
     282
     283}}}
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     286[=#ack&ref]
     287{{{#!html
     288<h4>Acknowledgement</h4>
    255289<p>
    256 
     290We 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.
    257291</p>
    258292
    259293
    260 <h4>Resources</h4>
    261 <ul>
    262 <li><a href="https://docs.google.com/presentation/d/1l1sBJccgTNPLDIJUSVuwGnhMMf8rcKQkJLOSxVYmxJM/edit?usp=sharing">[Final Presentation Here]</a></li>
    263 </ul>
    264 
    265 <h4>Poster References</h4>
     294<h4>References</h4>
    266295<ul>
    267296<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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