no code implementations • 10 Oct 2019 • Sarit Kraus, Amos Azaria, Jelena Fiosina, Maike Greve, Noam Hazon, Lutz Kolbe, Tim-Benjamin Lembcke, Jörg P. Müller, Sören Schleibaum, Mark Vollrath
Explanation is necessary for humans to understand and accept decisions made by an AI system when the system's goal is known.
no code implementations • 18 Jan 2021 • Fatema T. Johora, Dongfang Yang, Jörg P. Müller, Ümit Özgüner
The results indicate that our model can realistically simulate a wide range of motion behaviors and interaction scenarios, and that adding different motion patterns of pedestrians into our model improves its performance.
no code implementations • 5 Jul 2021 • Fatema T. Johora, Jörg P. Müller
In shared spaces, motorized and non-motorized road users share the same space with equal priority.
1 code implementation • 6 Feb 2022 • Sakif Hossain, Fatema T. Johora, Jörg P. Müller, Sven Hartmann, Andreas Reinhardt
Autonomous robots and vehicles are expected to soon become an integral part of our environment.
no code implementations • 17 Mar 2022 • Sören Schleibaum, Jörg P. Müller, Monika Sester
Second, we apply existing XAI methods to explain the first- and second-level models of the ensemble.
Explainable artificial intelligence Explainable Artificial Intelligence (XAI)