CUDA-basierte Punktwolkenregistrierung für Machine-Learning Applikationen

Eckdaten

  • Art der Arbeit: Bachelor-/Masterarbeit
  • Vorkenntnisse: Programmierkenntnisse
  • Sprache: Deutsch und Englisch
  • Bereich: Fahrzeugintelligenz & Automatisiertes Fahren

Camera Loop-Through to Augment Virtual Reality

Eckdaten

  • Art der Arbeit: Bachelor-/Masterarbeit
  • Vorkenntnisse: Programmierung, Computer Vision
  • Sprache: Deutsch oder Englisch
  • Bereich: Fahrzeugintelligenz und automatisiertes Fahren

Entwicklung und Implementierung eines Wahrnehmungsmodells für einen hochdynamischen Fahrsimulator

Eckdaten

  • Art der Arbeit: Bachelor-/Masterarbeit
  • Vorkenntnisse: Fahrzeug-/Regelungstechnik, Eigeninitiative
  • Sprache: Deutsch oder Englisch
  • Bereich: Automatisiertes Fahren

Hocheffiziente Objektassoziation in digitalen Testfeldern

Eckdaten

  • Art der Arbeit: Bachelor-/Masterarbeit
  • Vorkenntnisse: Programmierkenntnisse
  • Sprache: Deutsch oder Englisch
  • Bereich: Fahrzeugintelligenz und automatisiertes Fahren

Ökonomische Analyse intelligenter Infrastruktursensorik für automatisierte und vernetzte Mobilität

Eckdaten

  • Art der Arbeit: Bachelor-/Masterarbeit
  • Vorkenntnisse: hohe Eigeninitiative
  • Sprache: Deutsch und Englisch
  • Bereich: Fahrzeugintelligenz & Automatisiertes Fahren

Big Data Analysis of Construction Zones and Road Closures

Key Data

  • Type of thesis: Bachelor-/Master thesis
  • Prior knowledge: Python
  • Language: German or English
  • Department: Vehicle Intelligence and Automated Driving

Realistic mapping of driving scenarios between intersections

Key Data

  • Type of thesis: Bachelor-/Master thesis
  • Prior knowledge: Python
  • Language: German or English
  • Department: Automated Driving

Analysis of Real Driving Behaviour at Different Motorway On-Ramps

Key Data

  • Type of thesis: Bachelor-/Master thesis
  • Prior knowledge: Python (numpy, pandas, matplotlib)
  • Language: German or English
  • Department: Automated Driving

Cooperative trajectory planning using V2X-based maneuver suggestions

Key Data

  • Type of thesis: Bachelor-/Master thesis
  • Prior knowledge: Experience with programming (C++, Python), ROS, Git
  • Language: German or English
  • Department: Automated Driving

Road network variation for the simulative safety assurance of AD functions

Key Data

  • Type of thesis: Master thesis
  • Prior knowledge: Python, C++
  • Language: German or English
  • Department: Automated Driving

Systematic Identification and Extraction of Edge Cases from big driving datasets Topic

Key Data

  • Type of thesis: Master thesis
  • Prior knowledge: Python and C++
  • Language: German or English
  • Department: Vehicle Intelligence and Automated Driving

Generation of driving scenarios near realistic edges

Key Data

  • Type of thesis: Bachelor / Master thesis
  • Prior knowledge: Python
  • Language: German or English
  • Department: Vehicle Intelligence and Automated Driving

Development of a Query Language for Efficient Handling of Scenarios within Driving Data

Key Data

  • Type of thesis: Bachelor / Master thesis
  • Prior knowledge: Python or MATLAB
  • Language: German or English
  • Department: Vehicle Intelligence and Automated Driving

Validation of a Systematic for Grouping Driving Scenarios for Safety Validation of Automated Vehicles

Key Data

  • Type of thesis: Bachelor / Master thesis
  • Prior knowledge: Python or MATLAB
  • Language: German or English
  • Department: Vehicle Intelligence and Automated Driving

Occupancy and Visibility Information for Motion Planning of Automated Vehicles

Key Data

  • Type of thesis: Bachelor / Master thesis
  • Prior knowledge: Experience with Programming C++, ROS, CARLA Simulator
  • Language: German or English
  • Department: Vehicle Intelligence & Automated Driving

Collective Learning of Environment Perception in Fleets of Automated Vehicles

Key Data

  • Type of thesis: Bachelor / Master thesis
  • Prior knowledge: ROS, Python and C++
  • Language: German or English
  • Department: Automated Driving

Assessment of Deep Learning Architectures for Multi-Object Detection and Tracking in Infrastructure Sensor Data

Key Data
Type of thesis: Master thesis
Prior knowledge: Basic programming experience, Python
Language: German or English
Department: Vehicle Intelligence and Automated Driving

Simulation-empowered deep learning for vehicle environment perception

Key Data
Type of thesis: Master thesis
Prior knowledge: Programming Skills Machine Learning
Language: German or English
Department: Vehicle Intelligence & Automated Driving

Big Data Analysis of Road Networks to Generate Synthetic Junctions

Key Data
Type of thesis: Master thesis
Prior knowledge: Python or C++
Language: German or English
Department: Automated Driving

Address

Institute for Automotive Engineering (ika)
RWTH Aachen University

Steinbachstraße 7
52074 Aachen · Germany

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+49 241 80 25600
+49 241 80 22147