UID:
edoccha_9960030931702883
Format:
1 electronic resource (180 p.)
ISBN:
1000122855
Series Statement:
Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
Content:
This work presents a behavior planning algorithm for automated driving in urban environments with an uncertain and dynamic nature. The algorithm allows to consider the prediction uncertainty (e.g. different intentions), perception uncertainty (e.g. occlusions) as well as the uncertain interactive behavior of the other agents explicitly. Simulating the most likely future scenarios allows to find an optimal policy online that enables non-conservative planning under uncertainty.
Note:
English
Additional Edition:
ISBN 3-7315-1039-1
Language:
English
