Driving a car in urban areas autonomously requires the ability of an in-depth analysis of the current situation. For understanding the current situation and deducing consequences for the execution of behaviors (maneuvers), higher-level reasoning about the situation has to take place. In this paper, an approach for situation interpretation for cognitive automobiles is presented. The approach relies on case-based reasoning to predict the evolvement of the current situation and to select the appropriate behavior. Case-based reasoning allows to utilize prior experiences in the task of situation assessment.
Situation classification for cognitive automobiles using case-based reasoning
2007 IEEE Intelligent Vehicles Symposium ; 704-709
2007-06-01
385608 byte
Conference paper
Electronic Resource
English
Situation Classification for Cognitive Automobiles Using Case-Based Reasoning
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