0000002812 20W 6SWS PR Masterpraktikum - Developing a Resource Planning Platform for Autonomous Vehicles (IN0012, IN2106, IN4289)   Hilfe Logo

LV - Detailansicht

Wichtigste Meldungen anzeigenMeldungsfenster schließen
Allgemeine Angaben
Masterpraktikum - Developing a Resource Planning Platform for Autonomous Vehicles (IN0012, IN2106, IN4289) 
practical training
Winter semester 2020/21
Informatics 6 - Chair of Robotics, Artificial Intelligence and Real-time Systems (Prof. Knoll)
(Contact information)
Allocations: 1 
Angaben zur Abhaltung
The resource planner computes an architectural proposal based on predefined optimization goals for an autonomous driving vehicle by collecting system properties and AI-based application requirements. In case of dynamic reconfiguration, e.g. when the vehicle changes from the highway to city traffic or when drives in a tunnel, the resource planner can kill running individual algorithms based on the context as well as launching other algorithms while ensuring the whole process in terms of functional safety. In this lab course, It is planned to implement a context-based resource planner while considering the computation, communication, and safety aspects. Different groups of students will be assigned to work on different modules of this resource planner, from the perception unit to the core of the resource planner itself.
- Python
- C++
- Machine Learning
- Basic Knowledge in AI and Autonomous Driving
There will be 4 main modules of "Planner", "Perception", "Localization", and "Management" for this lab course. Each group will be focused mainly on one of the modules while maintaining the collaboration with other modules/groups to deliver the expected architechture of the resource planning platform at the end. The students will be asked to demonstrate their developements on CARLA simulator for 2 to 3 predefined scenarios.
A mix of online and on-site sessions due to the current covid-19 situation
Für die Anmeldung zur Teilnahme müssen Sie sich in TUMonline als Studierende*r identifizieren.
Note: Only via Matching System and email of interest to "shafaei@in.tum.de" before the last day of matching. Please set the subject of your email to "DRPPAD20-21" and set this lab course as your first priority in the matching system.
Online information
course documents
e-learning course (moodle)
Additional information
additional information
For more information, please visit the web page of the lab course over here: