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Automated, cooperative vehicles have to make decisions in road traffic in a highly dynamic, interacting and incompletely perceptible environment. Previous approaches are usually only considering an egocentric perspective, without considering any cooperative aspects, with or between others. | Automated, cooperative vehicles have to make decisions in road traffic in a highly dynamic, interacting and incompletely perceptible environment. Previous approaches are usually only considering an egocentric perspective, without considering any cooperative aspects, with or between others. | ||
Version vom 6. September 2017, 13:16 Uhr
Type of Final Thesis:
Bachelor
Supervisor: Selina Schüler, Andreas Oberweis
Research Group:
Business Information Systems
Archive Number: 4.160
Status of Thesis:
Completed
Date of start: 2021-12-24
Date of submission: 2022-05-16
Sorry, no english description available!
Automated, cooperative vehicles have to make decisions in road traffic in a highly dynamic, interacting and incompletely perceptible environment. Previous approaches are usually only considering an egocentric perspective, without considering any cooperative aspects, with or between others.
TASKS
For the prediction and planning of cooperative driving maneuvers, a method is to be developed in this thesis, which takes the interdependencies of the individual road users into account as well as probabilistically models the system states.
WE OFFER
- An interdisciplinary research environment with partners from science and industry
- A constructive collaboration with bright, motivated employees
- A pleasant working atmosphere
WE EXPECT
- Ability to implement both state of the art and experimental algorithms
- Basic C++ knowledge (C++11, STL, etc.)
- Sound English or German skills
- High creativity and productivity
- Knowledge in the field of artificial intelligence, game theory or related areas are a plus
- Experiences with graph search algorithms, e.g. Monte Carlo tree search are a plus
REQUIRED DOCUMENTS
- current transcript of records
- CV
CONTACT
Karl Kurzer