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Automated Driving: Generating Behavior under Uncertain Intention of Traffic Participants

30.11.2017, Abschlussarbeiten, Bachelor- und Masterarbeiten

In urban environments, uncertainty about the environment due to uncertainty about intention and maneuver of other traffic participants introduce challenges, that need to be accounted for in the behavior generation problem. Traditional approaches considering actions based on worst-case assumptions and predictions have shown to provide too conservative or even infeasible results.

This thesis aims to generate behavior, that takes the uncertainty in the prediction of other agents into account to allow for safe motion.

Required Skills: Motion Planning, Numerical Optimization

Programming Language: Matlab

What we offer:
-Interdisciplinary working environment
-Possibility to use student work space at fortiss (close to Munich city center)
-Flexible working hours
-Opportunity to contribute to research projects and publications

Your Application: 
-Transcript of Records
-Curriculum Vitae
-Motivation Letter
-Certificate of Enrollment

Kontakt: klemens.esterle@tum.de

Mehr Information

http://www6.in.tum.de/fileadmin/w00bxu/www/Thesis_Proposals/20171124_esterle_ma_scene_aware_planning.pdf