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Technical University of Munich
Technical University of Munich

Informatics

BASAMAHWexpthekonEintrag
Titel
––✔–---2023-02-02
3D object detection through synchronized images and point clouds
✔✔––---2023-02-02
Stereo camera 3D object detection for autonomous driving
✔✔✔–●●-2023-02-02
Autonomous Driving Project: Development of PERCEPTION Algorithms for a Level 5 Research Vehicle
✔✔✔–●●-2023-02-02
Neural Network Design for Deep Learning on Point Clouds
✔✔✔–-●-2023-02-02
Team-Projekt: Elektrifizierungspotential von realen Logistikflotten #SM
––✔–●●-2023-01-31
Sensor Fusion with Deep Neural Networks for Object Detection in Autonomous Driving Applications
––✔–●●-2023-01-31
High-Level Fusion for Object Detection with Deep Neural Networks in Autonomous Driving Applications
–✔––●●-2023-01-31
Multimodal Sensor Calibration for Autonomous Driving Applications
–✔––●●-2023-01-31
Radar Super Resolution to Enhance Object Detection for Autonomous Driving
✔✔✔–●●-2023-01-30
Model Predictive Control & Machine Learning for Trajectory following of Autonomous Vehicles
–✔✔–●●-2023-01-30
Motion control of autonomous vehicles with Tube Nonlinear Model Predictive Control
–✔✔–●●-2023-01-30
Estimating Parameters for Autonomous Vehicle Dynamics using Unscented Kalman Filter and Heuristics of Differential Evolution Algorithms
✔✔✔–●●-2023-01-29
KI-basierte/analytische Prädiktion von Fahrzeugparametern anhand von Realfahrdaten
✔✔✔–●●-2023-01-29
Weiterentwicklung eines Simulationsmodells zur Optimierung & Bewertung von Fahrzeugkonzepten
✔✔✔–●●-2023-01-29
Explorative Potentialanalyse aktueller Benchmarkuntersuchungen von Elektrofahrzeugen
–✔✔–●●●2023-01-29
Entwicklung eines parametrisierten PSM-Motormodells zur gesamtheitlichen Auslegung eines elektrischen Antriebsstrangs
–✔✔–●●-2023-01-27
Enhancing Model Predictive Control for Autonomous Vehicle Trajectory Following using Deep Reinforcement Learning
–✔✔–●●-2023-01-27
Motion control of autonomous vehicles with Stochastic Model Predictive Control
–✔✔–●●-2023-01-27
Bayesian Optimization of Model Predictive Control Parameters for Autonomous Vehicle Guidance
–✔✔–●●-2023-01-27
Camera-based estimation of current road conditions

 

*Theses with SA can be offered mostly as IDP. An overview of the supplementary lectures can be found here.

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