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|Beginn=2017/07/17
 
|Beginn=2017/07/17
 
|Abgabe=2017/11/17
 
|Abgabe=2017/11/17
|Beschreibung DE='''Problem'''
 
The goal of the work is to develop an algorithm, that generates a semantic scene description, which allows the inference of demand and provision of cooperation. For this several typical scenes shall be considered and appropriate methods shall be developed, which can judge whether traffic participants require or provide cooperation. The method shall be developed and evaluated using a simulation environment.
 
 
'''Tasks'''
 
*Modeling of lanelet map with various scenario options
 
*Implementing driver models for traffic simulation
 
*Developing a semantic scene description algorithm based on abstract object sensor
 
*Inferring cooperative aspects from the scene description
 
 
'''Requirements'''
 
*Knowledge of entity–relationships, semantic modeling and logical reasoning
 
*Ability to implement algorithms in C++
 
*Sound English skills
 
*High creativity and productivity
 
*Experience with ROS or Gazebo are a plus
 
 
}}
 
}}

Aktuelle Version vom 22. Januar 2020, 19:05 Uhr



Semantic Scene Description and Identification of Cooperation Aspects


Marvin Ruchay



Informationen zur Arbeit

Abschlussarbeitstyp: Bachelor
Betreuer: Karl Kurzer
Forschungsgruppe: Angewandte Technisch-Kognitive Systeme
Partner: FZI Forschungszentrum Informatik
Archivierungsnummer: 4236
Abschlussarbeitsstatus: Abgeschlossen
Beginn: 17. Juli 2017
Abgabe: 17. November 2017

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