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{{#ask:[[Kategorie:Neuigkeit]][[Forschungsgruppe::Angewandte Technisch-Kognitive Systeme]]
 
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<h4>CoCar NextGen at IEEE ITSC 2023 </h4>
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[[Datei:CCNG_ITSC_Group.jpg|400px|boder|right| CoCar NextGen at ITSC 2023 © Sven Ochs, FZI Forschungszentrum Informatik]]
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At the 2023 International Conference on Intelligent Transportation Systems we unveiled our newest autonomous and connected research vehicle: '''''CoCar NextGen'''''. <br>
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Based on an Audi A6 platform, the vehicle is equipped with the latest sensor and computing technology to support our autonomous driving software.
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Its purpose is to facilitate research in connected and autonomous driving through real-world measurement and test drives. <br>
 +
 +
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The vehicle features nine cameras, twelve LiDAR sensors, three radar sensors and an enhanced GPS system.
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A high-performance server powers our autonomous driving software, complemented by multiple integrated GPUs to enhance our AI capabilities. <br>
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For communication with other vehicles and intelligent infrastructure, such as our [https://taf-bw.de/ Testfeld Autonomes Fahren] in Karlsruhe, CoCar NextGen incorporates modern Vehicle-To-Everything (V2X) modules.
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Additionally, we presented eight research papers at ITSC 2023, underscoring our commitment to advancing autonomous and connected driving systems. <br>
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If you too are interested in contributing to our research endeavors involving CoCar NextGen or our portfolio of autonomous connected vehicles and intelligent infrastructure, we invite you to reach out regarding [https://karriere.fzi.de/Vacancies/908/Description/1 Hiwi, Bachelor and Master Theses]
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[[Datei:Ccng1.jpg|600px|boder|left| CoCar NextGen at ITSC 2023 © Sven Ochs, FZI Forschungszentrum Informatik]] [[Datei:Ccng3.jpg|600px|right| CoCar NextGen during Testdrive © Sven Ochs, FZI Forschungszentrum Informatik]]
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=====Open Thesis Projects=====
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<h4>Open Theses and HiWi-Jobs</h4>
{{#ask: [[Kategorie:Abschlussarbeit]]
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<table style="width:90%">
[[Abschlussarbeitsstatus::Offen]] [[Forschungsgruppe::Angewandte Technisch-Kognitive Systeme]]
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  <tr style="border-bottom: 1px solid #ddd">
|?Titel
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    <th>Research Area</th>
|?Betreuer
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    <th>Research Topics</th>
|?Abschlussarbeitstyp
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  </tr>
|sort=Archivierungsnummer
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  <tr style="border-bottom: 1px solid #ddd">
|order=descending
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    <td> <h6>Perception</h6> </td>
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    <td>
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      <ul>
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        <li style="margin-bottom: 0.5em">[https://aifb.kit.edu/web/Nikolai_Polley Traffic Light Detection with Deep Neural Networks for Autonomous Driving]</li>
|limit=200}}
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        <li style="margin-bottom: 0.5em">[https://aifb.kit.edu/web/Rupert_Polley Aerial Image Segmentation with Deep Neural Networks for Autonomous Driving]</li>
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        <li style="margin-bottom: 0.5em">[https://www.aifb.kit.edu/web/Daniel_Bogdoll Anomaly Detection for Autonomous Driving]</li>
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<li style="margin-bottom: 0.5em">[https://www.aifb.kit.edu/web/Daniel_Bogdoll Generative World Models for Future Predictions]</li>
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        <li style="margin-bottom: 0.5em">[https://www.aifb.kit.edu/web/Marc_Uecker Deep Learning based 3D Environment Perception for Autonomous Vehicles]</li>
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        <li style="margin-bottom: 0.5em">[https://www.aifb.kit.edu/web/Marc_Uecker Sensor-setup agnostic Machine Learning Perception for Autonomous Vehicles]</li>
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        <li style="margin-bottom: 0.5em">[https://www.aifb.kit.edu/web/Svetlana_Pavlitskaya Robust, Interpretable and Energy-Efficient Deep Learning for Camera-based Perception]</li>
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        <li style="margin-bottom: 0.5em">[https://www.aifb.kit.edu/web/Tobias_Fleck Sensorfusion for Connected Autonomous Driving]</li>
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        <li style="margin-bottom: 0.5em">[https://www.aifb.kit.edu/web/Tobias_Fleck Intelligent Roadside Infrastructure for Connected Autonomous Driving]</li>
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        <li style="margin-bottom: 0.5em">[https://aifb.kit.edu/web/Stefan_Orf Recognition of Sensor Data Discrepancies in Autonomous Vehicles and Smart Infrastructure]</li>
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        <li style="margin-bottom: 0.5em">[https://aifb.kit.edu/web/Melih_Yazgan Perception with Intelligent Traffic Infrastructure]</li>
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      </ul>
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    </td>
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  </tr>
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  <tr style="border-bottom: 1px solid #ddd">
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    <td> <h6>Prediction</h6> </td>
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    <td>
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      <ul>
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        <li style="margin-bottom: 0.5em">[https://www.aifb.kit.edu/web/Nikolai_Polley Predicting the Behavior of Traffic Participants with Deep Neural Networks]</li>
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        <li style="margin-bottom: 0.5em">[https://aifb.kit.edu/web/Philipp_Stegmaier/en Behavior and Motion Prediction of Traffic Participants for Safe Trajectory Planning]</li>
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        <li style="margin-bottom: 0.5em">[https://aifb.kit.edu/web/Philip_Sch%C3%B6rner Probabilistic Decision Making and Scene Interpretation]</li>
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        <li style="margin-bottom: 0.5em">[https://aifb.kit.edu/web/Albert_Lee A priori VRU Behavior Prediction using Traffic Infrastructure for Autonomous Driving]</li>
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        <li style="margin-bottom: 0.5em">[https://aifb.kit.edu/web/Ahmed_Abouelazm Trajectory forecasting under road topology and vehicle constraints]</li>
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      </ul>
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    </td>
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  </tr>
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  <tr style="border-bottom: 1px solid #ddd">
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    <td> <h6>UX</h6> </td>
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    <td>
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      <ul>
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        <li style="margin-bottom: 0.5em">[https://www.aifb.kit.edu/web/Helen_Schneider Automated Capture of User Experience in Autonomous Vehicles]</li>
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      </ul>
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    </td>
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  </tr>
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  <tr style="border-bottom: 1px solid #ddd">
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    <td> <h6>Maps</h6> </td>
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    <td>
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      <ul>
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        <li style="margin-bottom: 0.5em">[https://aifb.kit.edu/web/Nico_Lambing Automated Generation and Maintenance of Probabilistic HD-Maps]</li>
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        <li style="margin-bottom: 0.5em">[https://aifb.kit.edu/web/Rupert_Polley Aerial Image Segmentation with Deep Neural Networks for Autonomous Driving]</li>
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        <li style="margin-bottom: 0.5em">[https://aifb.kit.edu/web/Sven_Ochs Semantic LiDAR-Localization and Validation through GPS and Odometrie]</li>
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      </ul>
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    </td>
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  </tr>
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  <tr style="border-bottom: 1px solid #ddd">
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    <td> <h6>Planning</h6> </td>
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    <td>
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      <ul>
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        <li style="margin-bottom: 0.5em">[https://aifb.kit.edu/web/Philipp_Stegmaier/en Cooperative Trajectory Planning under Uncertainties]</li>
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        <li style="margin-bottom: 0.5em">[https://aifb.kit.edu/web/Philip_Sch%C3%B6rner Probabilistic Decision Making and Scene Interpretation]</li>
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      </ul>
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    </td>
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  </tr>
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  <tr style="border-bottom: 1px solid #ddd">
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    <td> <h6>Safety and Security</h6> </td>
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    <td>
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      <ul>
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        <li style="margin-bottom: 0.5em">[https://aifb.kit.edu/web/Albert_Schotschneider Misbehavior Detection and Optimization of Driving Components for Robustness Improvement]</li>
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        <li style="margin-bottom: 0.5em">[https://aifb.kit.edu/web/Albert_Schotschneider Evaluating Metrics for Performance Assessment in Autonomous Driving]</li>
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        <li style="margin-bottom: 0.5em">[https://www.aifb.kit.edu/web/Svetlana_Pavlitskaya Adversarial Attacks on Deep Learning Models]</li>
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        <li style="margin-bottom: 0.5em">[https://aifb.kit.edu/web/Stefan_Orf Condition Monitoring for Robust and Safe Autonomous Systems]</li>
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      </ul>
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    </td>
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  </tr>
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  <tr style="border-bottom: 1px solid #ddd">
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    <td> <h6>Vehicle-to-Everything (V2X/Car2X)</h6> </td>
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    <td>
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      <ul>
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        <li style="margin-bottom: 0.5em">[https://www.aifb.kit.edu/web/Marc_Zofka Vehicle-to-everything (V2X) for Distributed Simulations on Proving Grounds and Test Areas for Autonomous Driving]</li>
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        <li style="margin-bottom: 0.5em">[https://aifb.kit.edu/web/Martin_Gontscharow Interactive Machine Learning for Remote Assisted Autonomous Vehicles]</li>
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        <li style="margin-bottom: 0.5em">[https://aifb.kit.edu/web/Stefan_Orf Remote Operation in Autonomous Driving]</li>
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      </ul>
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    </td>
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  </tr>
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  <tr style="border-bottom: 1px solid #ddd">
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    <td> <h6>Simulation</h6> </td>
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    <td>
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      <ul>
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        <li style="margin-bottom: 0.5em">[https://www.aifb.kit.edu/web/Marc_Zofka Distributed Virtual Reality (VR) and Simulation Frameworks for Validation and Verification of Autonomous Vehicles]</li>       
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        <li style="margin-bottom: 0.5em">[https://aifb.kit.edu/web/Helen_Gremmelmaier Simulation of Autonomous Driving and Behaviour Modelling of Vulnerable Road Users]</li>
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<li style="margin-bottom: 0.5em">[https://aifb.kit.edu/web/Daniel_Bogdoll Rare and challenging scenarios in simulation]</li>
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      </ul>
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    </td>
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  </tr>
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    <td> <h6>End-to-end learning</h6> </td>
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    <td>
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      <ul>
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        <li style="margin-bottom: 0.5em"></li>
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        <li style="margin-bottom: 0.5em"></li>
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      </ul>
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    </td>
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  </tr>
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  <tr style="border-bottom: 1px solid #ddd">
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    <td> <h6>Mixed Reality</h6> </td>
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    <td>
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      <ul>
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        <li style="margin-bottom: 0.5em"></li>
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      </ul>
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    </td>
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  </tr>
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  <tr style="border-bottom: 1px solid #ddd">
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    <td> <h6>Reinforcement Learning</h6> </td>
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    <td>
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      <ul>
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        <li style="margin-bottom: 0.5em">[https://aifb.kit.edu/web/Philipp_Stegmaier/en Distributional and Model-Based Reinforcement Learning]</li>
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        <li style="margin-bottom: 0.5em">[https://aifb.kit.edu/web/Tim_Joseph Efficient Unsupervised Reinforcement Learning]</li>
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        <li style="margin-bottom: 0.5em">[https://aifb.kit.edu/web/Ahmed_Abouelazm End-to-End autonomous driving using Reinforcement Learning]</li>
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      </ul>
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    </td>
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  </tr>
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  <tr>
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    <td> <h6>Other Topics in Autonomous Driving</h6> </td>
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    <td>
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      <ul>
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        <li style="margin-bottom: 0.5em">[https://aifb.kit.edu/web/Maximilian_Zipfl Postprocessing of Trajectory Tracking]</li>
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        <li style="margin-bottom: 0.5em">[https://www.aifb.kit.edu/web/Marc_Uecker Vehicle Hardware and Sensor Setups for Autonomous Vehicles]</li>
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      </ul>
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    </td>
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  </tr>
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</table>
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|}
  
=====Open Positions=====
 
[http://www.aifb.kit.edu/web/Stellenausschreibung114 Student Assistant &#124; Cooperatively Interacting Automobiles]
 
  
[http://www.aifb.kit.edu/web/Stellenausschreibung134 Student Assistant &#124; Systemadministration]
 
  
[http://www.aifb.kit.edu/web/Stellenausschreibung115/en Research Scientist &#124; Highly Automated Driving]
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{{Rubrik|Our Partner Institutes}}
 
 
=====Our Partner Institutes=====
 
 
:{{#tag:imagemap | Bild:Fzilogo.gif{{!}}45px
 
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:[http://www.fzi.de/wir-ueber-uns/organisation/forschungsbereiche/ispe/ Forschungsbereich ISPE]
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:[http://www.fzi.de/wir-ueber-uns/organisation/forschungsbereiche/ispe/ Intelligent Systems and Production Engineering]
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{{Forschungsgruppe Projektliste/en}}
 
{{Forschungsgruppe Projektliste/en}}

Aktuelle Version vom 27. Oktober 2023, 09:50 Uhr


Research group cc.JPG


Office:
 
Description

The research focuses on technologies of applied machine intelligence. Based on fundamental research new systems such as autonomous service robots, autonomous vehicles or assistance systems with cognitive capabilities are to be realized. The use of these so-called technical-cognitive systems takes place primarily in the context of highly automated, efficient and intermodal mobility; connected, automated production and logistics as well as the interactive support of the user in everyday situations.

Perception, situation assessment as well as decision making are the primarily addressed basics of machine intelligence. Methods for machine learning and probabilistic inference are thereby researched and applied for all components. The holistic use of neural methods in the areas of adaptive perception and behavioral decision making is being accounted for in the long term with the newly formed research focus of neurorobotics. Procedures for system evaluation and validation form an additional focus in the context of applied research. Autonomous vehicles like CoCar and CoCar-Zero, mobile robots such as the assistant robot Hollie, the walking robot Lauron or the inspection robot Cairo thereby form valuable integration and evaluation platforms for applied research. They are developed in close cooperation with the FZI and used for joint research and teaching.




CoCar NextGen at IEEE ITSC 2023

CoCar NextGen at ITSC 2023 © Sven Ochs, FZI Forschungszentrum Informatik


At the 2023 International Conference on Intelligent Transportation Systems we unveiled our newest autonomous and connected research vehicle: CoCar NextGen.

Based on an Audi A6 platform, the vehicle is equipped with the latest sensor and computing technology to support our autonomous driving software. Its purpose is to facilitate research in connected and autonomous driving through real-world measurement and test drives.


The vehicle features nine cameras, twelve LiDAR sensors, three radar sensors and an enhanced GPS system. A high-performance server powers our autonomous driving software, complemented by multiple integrated GPUs to enhance our AI capabilities.
For communication with other vehicles and intelligent infrastructure, such as our Testfeld Autonomes Fahren in Karlsruhe, CoCar NextGen incorporates modern Vehicle-To-Everything (V2X) modules.


Additionally, we presented eight research papers at ITSC 2023, underscoring our commitment to advancing autonomous and connected driving systems.
If you too are interested in contributing to our research endeavors involving CoCar NextGen or our portfolio of autonomous connected vehicles and intelligent infrastructure, we invite you to reach out regarding Hiwi, Bachelor and Master Theses


CoCar NextGen at ITSC 2023 © Sven Ochs, FZI Forschungszentrum Informatik
CoCar NextGen during Testdrive © Sven Ochs, FZI Forschungszentrum Informatik



Open Theses and HiWi-Jobs

Research Area Research Topics
Perception
Prediction
UX
Maps
Planning
Safety and Security
Vehicle-to-Everything (V2X/Car2X)
Simulation
Reinforcement Learning
Other Topics in Autonomous Driving



Our Partner Institutes
Fzilogo.gif
Intelligent Systems and Production Engineering



People



Courses



Active Projects
Dfg logo schriftzug blau 4c.png

SPP 1835: Kooperativ interagierende Automobile
External Link: http://www.coincar.de/#/

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SofDCar
External Link: https://www.sofdcar.de

Taf logo transparent.png

Testfeld Autonomes Fahren
External Link: https://taf-bw.de/