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Managing the Complexity of Inner-City Scenes: An Efficient Situation Hypotheses Selection Scheme

Klingelschmitt, Stefan and Damerow, Florian and Eggert, Julian (2015):
Managing the Complexity of Inner-City Scenes: An Efficient Situation Hypotheses Selection Scheme.
In: 2015 IEEE Intelligent Vehicles Symposium (IV), Coex, Seoul, Korea, June 28 - July 1, 2015, [Conference or Workshop Item]

Item Type: Conference or Workshop Item
Erschienen: 2015
Creators: Klingelschmitt, Stefan and Damerow, Florian and Eggert, Julian
Title: Managing the Complexity of Inner-City Scenes: An Efficient Situation Hypotheses Selection Scheme
Language: English
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik
18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Robotics
Event Title: 2015 IEEE Intelligent Vehicles Symposium (IV)
Event Location: Coex, Seoul, Korea
Event Dates: June 28 - July 1, 2015
Date Deposited: 13 Jul 2015 07:31
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