FTM Autonomous Driving Software Development

Institut

Lehrstuhl für Fahrzeugtechnik

Typ

Bachelorarbeit / Semesterarbeit / Masterarbeit /

Inhalt

experimentell / theoretisch /  

Beschreibung

Our team of 20 PhD students develops a full software stack for autonomous driving. The goal is to create the overall optimal software for autonmous driving and to show real-world application. Thus, we offer both the development of new algorithms based on the latest methods in autonomous driving, but also the integration into a running software setup and application on the vehicle to get real-world test results. The development plattform we use is a level-5 capable research vehicle and a full-stack 3D Hardware-in-the-Loop simulator.

Our research fields are:

• Object detection and localization with RADAR, LiDAR and camera
• Intention recognition and motion prediction of road users including pedestrians
• Adaptive behavior and motion planning in dynamic environment
• Robust motion control and friction estimation
• Software orchestration and optimization on different computer architectures
• Remote teleoperation of the vehicle

Apply now and join the team!

Voraussetzungen

• First of all, enthusiasm for autonomous driving and motivation to learn new software tools
• Team-minded
• Programming skills (Python, C++)
• Knowledge of software development & artificial intelligence methods

Verwendete Technologien

Git, ROS2, Docker, CARLA, CommonRoad

Tags

FTM Studienarbeit, FTM AV, FTM AV Perception, FTM Karle, FTM Informatik

Möglicher Beginn

sofort

Kontakt

Phillip Karle, M.Sc.
Raum: MW 3505
Tel.: +49 89 289 15898
phillip.karletum.de