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<h4>Open Theses and HiWi-Jobs</h4>
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==Open Theses and HiWi-Jobs==
 
 
<table style="width:90%">
 
<table style="width:90%">
 
   <tr style="border-bottom: 1px solid #ddd">
 
   <tr style="border-bottom: 1px solid #ddd">
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     <th><h3>Research Area</h3></th>
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     <th>Forschungsbereich</th>
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     <th><h3>Research Topics</h3></th>
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     <th>Themen</th>
 
   </tr>
 
   </tr>
 
   <tr style="border-bottom: 1px solid #ddd">
 
   <tr style="border-bottom: 1px solid #ddd">
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     <td> <h4>Perception</h4> </td>
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     <td> <h6>Perception</h6> </td>
 
     <td>
 
     <td>
−
       <ul>
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       <ul style="line-height: 1.5">
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         <li>[https://aifb.kit.edu/web/Rupert_Polley Aerial Image Segmentation with Deep Neural Networks for Autonomous Driving]</li> <br>
+
        <li>[https://aifb.kit.edu/web/Nikolai_Polley Traffic Light Detection with Deep Neural Networks for Autonomous Driving]</li>
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         <li>[https://www.aifb.kit.edu/web/Daniel_Bogdoll Anomaly Detection for Autonomous Driving]</li> <br>
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         <li>[https://aifb.kit.edu/web/Rupert_Polley Aerial Image Segmentation with Deep Neural Networks for Autonomous Driving]</li>
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         <li>[https://www.aifb.kit.edu/web/Marc_Uecker Deep Learning based 3D Environment Perception for Autonomous Vehicles]</li> <br>
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         <li>[https://www.aifb.kit.edu/web/Daniel_Bogdoll Anomaly Detection for Autonomous Driving]</li>
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         <li>[https://www.aifb.kit.edu/web/Marc_Uecker Sensor-setup agnostic Machine Learning Perception for Autonomous Vehicles]</li> <br>
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         <li>[https://www.aifb.kit.edu/web/Marc_Uecker Deep Learning based 3D Environment Perception for Autonomous Vehicles]</li>
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         <li>[https://www.aifb.kit.edu/web/Svetlana_Pavlitskaya Robust, Interpretable and Energy-Efficient Deep Learning for Camera-based Perception]</li> <br>
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         <li>[https://www.aifb.kit.edu/web/Marc_Uecker Sensor-setup agnostic Machine Learning Perception for Autonomous Vehicles]</li>
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         <li>[https://www.aifb.kit.edu/web/Tobias_Fleck Sensorfusion for Connected Autonomous Driving]</li> <br>
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         <li>[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>[https://www.aifb.kit.edu/web/Tobias_Fleck Intelligent Roadside Infrastructure for Connected Autonomous Driving]</li> <br>
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         <li>[https://www.aifb.kit.edu/web/Tobias_Fleck Sensorfusion for Connected Autonomous Driving]</li>
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         <li>[https://aifb.kit.edu/web/Stefan_Orf Recognition of Sensor Data Discrepancies in Autonomous Vehicles and Smart Infrastructure]</li> <br>
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         <li>[https://www.aifb.kit.edu/web/Tobias_Fleck Intelligent Roadside Infrastructure for Connected Autonomous Driving]</li>
 +
         <li>[https://aifb.kit.edu/web/Stefan_Orf Recognition of Sensor Data Discrepancies in Autonomous Vehicles and Smart Infrastructure]</li>
 
         <li>[https://aifb.kit.edu/web/Melih_Yazgan Perception with Intelligent Traffic Infrastructure]</li>
 
         <li>[https://aifb.kit.edu/web/Melih_Yazgan Perception with Intelligent Traffic Infrastructure]</li>
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       </ul>
 
       </ul>
 
     </td>
 
     </td>
 
   </tr>
 
   </tr>
 
   <tr style="border-bottom: 1px solid #ddd">
 
   <tr style="border-bottom: 1px solid #ddd">
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     <td> <h4>Prediction</h4> </td>
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     <td> <h6>Prediction</h6> </td>
 
     <td>
 
     <td>
−
       <ul>
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       <ul style="line-height: 1.5">
−
         <li>[https://www.aifb.kit.edu/web/Nikolai_Polley Predicting the Behavior of Traffic Participants with Deep Neural Networks]</li> <br>
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         <li>[https://www.aifb.kit.edu/web/Nikolai_Polley Predicting the Behavior of Traffic Participants with Deep Neural Networks]</li>
−
         <li>[https://aifb.kit.edu/web/Philipp_Stegmaier Behavior and Motion Prediction of Traffic Participants for Safe Trajectory Planning]</li> <br>
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         <li>[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>[https://aifb.kit.edu/web/Philip_Sch%C3%B6rner Probabilistic Decision Making and Scene Interpretation]</li> <br>
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         <li>[https://aifb.kit.edu/web/Philip_Sch%C3%B6rner Probabilistic Decision Making and Scene Interpretation]</li>
 
         <li>[https://aifb.kit.edu/web/Albert_Lee A priori VRU Behavior Prediction using Traffic Infrastructure for Autonomous Driving]</li>
 
         <li>[https://aifb.kit.edu/web/Albert_Lee A priori VRU Behavior Prediction using Traffic Infrastructure for Autonomous Driving]</li>
 +
        <li>[https://aifb.kit.edu/web/Ahmed_Abouelazm Trajectory forecasting under road topology and vehicle constraints]</li>
 +
      </ul>
 +
    </td>
 +
  </tr>
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 +
    <td> <h6>UX</h6> </td>
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    <td>
 +
      <ul style="line-height: 1.5">
 +
        <li>[https://www.aifb.kit.edu/web/Helen_Schneider Automated Capture of User Experience in Autonomous Vehicles]</li>
 
       </ul>
 
       </ul>
 
     </td>
 
     </td>
 
   </tr>
 
   </tr>
 
   <tr style="border-bottom: 1px solid #ddd">
 
   <tr style="border-bottom: 1px solid #ddd">
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     <td> <h4>Maps</h4> </td>
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     <td> <h6>Maps</h6> </td>
 
     <td>
 
     <td>
−
       <ul>
+
       <ul style="line-height: 1.5">
−
         <li>[https://aifb.kit.edu/web/Rupert_Polley Aerial Image Segmentation with Deep Neural Networks for Autonomous Driving]</li> <br>
+
        <li>[https://aifb.kit.edu/web/Nico_Lambing Automated Generation and Maintenance of Probabilistic HD-Maps]</li>
 +
         <li>[https://aifb.kit.edu/web/Rupert_Polley Aerial Image Segmentation with Deep Neural Networks for Autonomous Driving]</li>
 
         <li>[https://aifb.kit.edu/web/Sven_Ochs Semantic LiDAR-Localization and Validation through GPS and Odometrie]</li>
 
         <li>[https://aifb.kit.edu/web/Sven_Ochs Semantic LiDAR-Localization and Validation through GPS and Odometrie]</li>
 
       </ul>
 
       </ul>
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   </tr>
 
   </tr>
 
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     <td> <h4>Planning</h4> </td>
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     <td> <h6>Planning</h6> </td>
 
     <td>
 
     <td>
−
       <ul>
+
       <ul style="line-height: 1.5">
−
         <li>[https://aifb.kit.edu/web/Philipp_Stegmaier Cooperative Trajectory Planning under Uncertainties]</li> <br>
+
         <li>[https://aifb.kit.edu/web/Philipp_Stegmaier/en Cooperative Trajectory Planning under Uncertainties]</li>
 
         <li>[https://aifb.kit.edu/web/Philip_Sch%C3%B6rner Probabilistic Decision Making and Scene Interpretation]</li>
 
         <li>[https://aifb.kit.edu/web/Philip_Sch%C3%B6rner Probabilistic Decision Making and Scene Interpretation]</li>
 
       </ul>
 
       </ul>
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   </tr>
 
   </tr>
 
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     <td> <h4>Safety and Security</h4> </td>
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     <td> <h6>Safety and Security</h6> </td>
 
     <td>
 
     <td>
−
       <ul>
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       <ul style="line-height: 1.5">
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         <li>[https://aifb.kit.edu/web/Albert_Schotschneider Misbehavior Detection and Optimization of Driving Components for Robustness Improvement]</li> <br>
+
         <li>[https://aifb.kit.edu/web/Albert_Schotschneider Misbehavior Detection and Optimization of Driving Components for Robustness Improvement]</li>
−
         <li>[https://www.aifb.kit.edu/web/Svetlana_Pavlitskaya Adversarial Attacks on Deep Learning Models]</li> <br>
+
        <li>[https://aifb.kit.edu/web/Albert_Schotschneider Evaluating Metrics for Performance Assessment in Autonomous Driving]</li>
 +
         <li>[https://www.aifb.kit.edu/web/Svetlana_Pavlitskaya Adversarial Attacks on Deep Learning Models]</li>
 
         <li>[https://aifb.kit.edu/web/Stefan_Orf Condition Monitoring for Robust and Safe Autonomous Systems]</li>
 
         <li>[https://aifb.kit.edu/web/Stefan_Orf Condition Monitoring for Robust and Safe Autonomous Systems]</li>
 
       </ul>
 
       </ul>
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   </tr>
 
   </tr>
 
   <tr style="border-bottom: 1px solid #ddd">
 
   <tr style="border-bottom: 1px solid #ddd">
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     <td> <h4>Vehicle-to-Everything (V2X/Car2X)</h4> </td>
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     <td> <h6>Vehicle-to-Everything (V2X/Car2X)</h6> </td>
 
     <td>
 
     <td>
−
       <ul>
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       <ul style="line-height: 1.5">
−
         <li>[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> <br>
+
         <li>[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>
−
         <li>[https://aifb.kit.edu/web/Martin_Gontscharow Interactive Machine Learning for Remote Assisted Autonomous Vehicles]</li> <br>
+
         <li>[https://aifb.kit.edu/web/Martin_Gontscharow Interactive Machine Learning for Remote Assisted Autonomous Vehicles]</li>
 
         <li>[https://aifb.kit.edu/web/Stefan_Orf Remote Operation in Autonomous Driving]</li>
 
         <li>[https://aifb.kit.edu/web/Stefan_Orf Remote Operation in Autonomous Driving]</li>
 
       </ul>
 
       </ul>
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   </tr>
 
   </tr>
 
   <tr style="border-bottom: 1px solid #ddd">
 
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     <td> <h4>Simulation</h4> </td>
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     <td> <h6>Simulation</h6> </td>
 
     <td>
 
     <td>
−
       <ul>
+
       <ul style="line-height: 1.5">
−
         <li>[https://www.aifb.kit.edu/web/Marc_Zofka Distributed Virtual Reality (VR) and Simulation Frameworks for Validation and Verification of Autonomous Vehicles]</li> <br>       
+
         <li>[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>[https://aifb.kit.edu/web/Helen_Gremmelmaier Simulation of Autonomous Driving and Behaviour Modelling of Vulnerable Road Users]</li>
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        <li>[https://aifb.kit.edu/web/Helen_Gremmelmaier Simulation of Autonomous Driving and Behaviour Modelling of Vulnerable Road Users]</li>
 
       </ul>
 
       </ul>
 
     </td>
 
     </td>
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     <td> <h4>End-to-end learning</h4> </td>
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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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       <ul style="line-height: 1.5">
 
         <li></li>
 
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     <td> <h6>Mixed Reality</h6> </td>
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     <td> <h4>Mixed Reality</h4> </td>
 
 
     <td>
 
     <td>
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       <ul>
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         <li></li>
 
         <li></li>
 
       </ul>
 
       </ul>
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     <td> <h4>Reinforcement Learning</h4> </td>
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     <td> <h6>Reinforcement Learning</h6> </td>
 
     <td>
 
     <td>
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       <ul>
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       <ul style="line-height: 1.5">
 
         <li>[https://aifb.kit.edu/web/Tim_Joseph Efficient Unsupervised Reinforcement Learning]</li>
 
         <li>[https://aifb.kit.edu/web/Tim_Joseph Efficient Unsupervised Reinforcement Learning]</li>
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         <li></li>
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         <li>[https://aifb.kit.edu/web/Ahmed_Abouelazm End-to-End autonomous driving using Reinforcement Learning]</li>
 
       </ul>
 
       </ul>
 
     </td>
 
     </td>
 
   </tr>
 
   </tr>
 
   <tr>
 
   <tr>
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     <td> <h4>Other Topics in Autonomous Driving</h4> </td>
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     <td> <h6>Other Topics in Autonomous Driving</h6> </td>
 
     <td>
 
     <td>
−
       <ul>
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       <ul style="line-height: 1.5">
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        <li>[https://www.aifb.kit.edu/web/Helen_Schneider Automated Capturing of User Experience in Autonomous Vehicles]</li> <br>
+
         <li>[https://aifb.kit.edu/web/Maximilian_Zipfl Postprocessing of Trajectory Tracking]</li>
−
         <li>[https://aifb.kit.edu/web/Maximilian_Zipfl Postprocessing of Trajectory Tracking]</li> <br>
+
         <li>[https://www.aifb.kit.edu/web/Marc_Uecker Vehicle Hardware and Sensor Setups for Autonomous Vehicles]</li>
−
         <li>[https://www.aifb.kit.edu/web/Marc_Uecker Vehicle Hardware and Sensor Setups for Autonomous Vehicles]</li> <br>
 
−
        <li></li>
 
 
       </ul>
 
       </ul>
 
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====Our Partner Institutes====
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{{Rubrik|Our Partner Institutes}}
 
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{{Forschungsgruppe Projektliste/en}}
 
{{Forschungsgruppe Projektliste/en}}

Version vom 3. August 2023, 19:54 Uhr


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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.



News
2024-03-12: Autonomous driving with Federal Minister for Digital and Transport Volker Wissing on Campus North
2024-03-12: Autonomous driving with Federal Minister for Digital and Transport Volker Wissing on Campus North
2023-10-05: CoCar NextGen at IEEE ITSC 2023
2023-10-05: CoCar NextGen at IEEE ITSC 2023
2020-09-21: Best Dissertation Award - IEEE ITS Society
2018-11-15: Audi Autonomous Driving Cup 2018: Team AlpaKa wins the title
2018-11-05: Best Paper Award - IEEE International Conference on Intelligent Transportation Systems (ITSC)
2018-06-28: Best Paper Award - IEEE Intelligent Vehicles Symposium (IV)
2018-06-28: Best Paper Award - IEEE Intelligent Vehicles Symposium (IV)



Open Theses and HiWi-Jobs

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



Our Partner Institutes
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Intelligent Systems and Production Engineering



People



Courses



Active Projects
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