Identifying Relevant Traffic Situations Based on Human Decision Making

Sippl C, Bock F, Huber B, Djanatliev A, German R (2019)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2019

Publisher: Springer Verlag

Conference Proceedings Title: 19. Internationales Stuttgarter Symposium: Automobil- und Motorentechnik

Event location: Haus der Wirtschaft, Willi-Bleicher-Straße 19, 70174 Stuttgart, Deutschland

DOI: 10.1007/978-3-658-25939-6_79

Authors with CRIS profile

Christoph Sippl Computer Science 7 (Computer Networks and Communication Systems) Florian Bock Computer Science 7 (Computer Networks and Communication Systems) Bernd Huber Computer Science 7 (Computer Networks and Communication Systems) Anatoli Djanatliev Computer Science 7 (Computer Networks and Communication Systems) Reinhard German Computer Science 7 (Computer Networks and Communication Systems)

Additional Organisation(s)

Computer Science 7 (Computer Networks and Communication Systems)

How to cite

APA:

Sippl, C., Bock, F., Huber, B., Djanatliev, A., & German, R. (2019). Identifying Relevant Traffic Situations Based on Human Decision Making. In 19. Internationales Stuttgarter Symposium: Automobil- und Motorentechnik. Haus der Wirtschaft, Willi-Bleicher-Straße 19, 70174 Stuttgart, Deutschland, DE: Springer Verlag.

MLA:

Sippl, Christoph, et al. "Identifying Relevant Traffic Situations Based on Human Decision Making." Proceedings of the 19. Internationales Stuttgarter Symposium Automobil- und Motorentechnik, Haus der Wirtschaft, Willi-Bleicher-Straße 19, 70174 Stuttgart, Deutschland Springer Verlag, 2019.

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