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1st SEFAIAS@ICSE 2018: Gothenburg, Sweden
- Reinhard Stolle, Stephan Scholz, Manfred Broy:
1st IEEE/ACM International Workshop on Software Engineering for AI in Autonomous Systems, SEFAIAS@ICSE 2018, Gothenburg, Sweden, May 28, 2018. ACM 2018, ISBN 978-1-4503-5739-5
AI Applications
- Erik Karlsson, Nasser Mohammadiha:
A Data-Driven Generative Model for GPS Sensors for Autonomous Driving. 1-5 - Nico Herbig, Frederik Wiehr, Atanas Poibrenski, Janis Sprenger
, Christian Müller:
How Machine Perception Relates to Human Perception: Visual Saliency and Distance in a Frame-by-Frame Semantic Segmentation Task for Highly/Fully Automated Driving. 6-10 - Hans-Jörg Vögel, Christian Süß, Thomas Hubregtsen, Elisabeth André
, Björn W. Schuller
, Jérôme Härri
, Jörg Conradt, Asaf Adi, Alexander Zadorojniy, Jacques M. B. Terken
, Jonas Beskow, Ann Morrison
, Kynan Eng
, Florian Eyben, Samer Al Moubayed, Susanne Muller, Nicholas Cummins, Viviane S. Ghaderi, Ronee Chadowitz, Raphaël Troncy
, Benoit Huet, Melek Önen, Adlen Ksentini:
Emotion-Awareness for Intelligent Vehicle Assistants: A Research Agenda. 11-15
AI Engineering Methods
- Mitchell Spryn, Aditya Sharma, Dhawal Parkar, Madhur Shrimal:
Distributed Deep Reinforcement Learning on the Cloud for Autonomous Driving. 16-22 - Adina Aniculaesei, Jörg Grieser, Andreas Rausch
, Karina Rehfeldt, Tim Warnecke:
Toward a Holistic Software Systems Engineering Approach for Dependable Autonomous Systems. 23-30 - Atanas Poibrenski, Janis Sprenger
, Christian Müller:
Toward a Methodology for Training with Synthetic Data on the Example of Pedestrian Detection in a Frame-by-Frame Semantic Segmentation Task. 31-34
Verification of Self-Driving Cars
- Qing Rao, Jelena Frtunikj:
Deep Learning for Self-Driving Cars: Chances and Challenges. 35-38 - Werner Damm, Roland Galbas:
Exploiting Learning and Scenario-Based Specification Languages for the Verification and Validation of Highly Automated Driving. 39-46 - Jens Henriksson, Markus Borg, Cristofer Englund:
Automotive Safety and Machine Learning: Initial Results from a Study on How to Adapt the ISO 26262 Safety Standard. 47-49

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