Skip to content
Menu
Technical University of Munich
Technical University of Munich

Informatics

BASAMAHWexpthekonEintrag
Titel
–✔✔–●●●2024-07-26
KI-basiertes CAN-Hacking
–✔✔–●●●2024-07-26
KI-basiertes CAN-Hacking: Aufbau eines Loggers zur Datenaufnahme und -auswertung
–✔✔–---2024-07-25
Wanna bring AVs to Failure? – AV Fault-Injection Framework
–✔––●●-2024-07-24
TUM AUTONOMOUS MOTORSPORT: Evaluation of Highspeed Tracking Performance for Autonomous Racing
✔✔–✔-●●2024-07-17
Development of a Simple Battery Management System for an Automotive Lithium-Ion Battery Module
–✔✔–●●-2024-07-16
Analysis of Racing Interaction Using Time-Optimal Sampling Strategies for Motion Prediction in Autonomous Vehicles
–✔✔–●●-2024-07-16
Risk-Aware Motion Prediction in Autonomous Racing Using Particle Sampling
✔✔✔–●●-2024-07-16
Building a Robust Continuous Integration Pipeline for Motion Prediction in Autonomous Racing
–✔––-●-2024-07-16
Motion Prediction Implementation and Optimization in C++
✔✔✔–●●-2024-07-16
Sensitivity Study of Common Motion Prediction Metrics on Interaction Behavior in Autonomous Racing
–✔✔–●--2024-07-11
Development of a LiDAR 3D Object Detection Network
✔✔✔–●-●2024-07-11
Graphical User Interface für die Unterstützung automatisierter Fahrzeuge
–––✔●●●2024-07-10
Fahrsimulator HiWi gesucht!
–✔✔–●●●2024-07-03
Map-based Predictive Quality of Service for Teleoperation
–✔✔–●●●2024-07-03
Learning-based Predictive Quality of Service for Teleoperation
–✔✔–●●-2024-07-01
Electrify Agriculture | hands on: Hocheffizienz-Antriebsstränge für Traktoren
–✔✔–-●-2024-07-01
Electrify Africa | Big Data | SA| IDP: Electrification strategies for Africa
–✔✔–-●-2024-06-26
Benchmarking of Deep Learning Based Anomaly Detection in Battery Aging Test Using Machine Learning
–✔✔–-●-2024-06-26
Benchmarking einer Deep Learning Anomaliedetektion für Batterielebensdauertests mittels Machine Learning
––✔–●●-2024-06-25
Zustandsschätzung in seriell verschaltetem Automotive-Batteriemodul mit Maschinellem Lernen und Impedanzdaten

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

To top