Abstract is missing.
- A Data-Driven Generative Model for GPS Sensors for Autonomous DrivingErik Karlsson, Nasser Mohammadiha. 1-5 [doi]
- How Machine Perception Relates to Human Perception: Visual Saliency and Distance in a Frame-by-Frame Semantic Segmentation Task for Highly/Fully Automated DrivingNico Herbig, Frederik Wiehr, Atanas Poibrenski, Janis Sprenger, Christian Muller. 6-10 [doi]
- Emotion-Awareness for Intelligent Vehicle Assistants: A Research AgendaHans-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. 11-15 [doi]
- Distributed Deep Reinforcement Learning on the Cloud for Autonomous DrivingMitchell Spryn, Aditya Sharma, Dhawal Parkar, Madhur Shrimal. 16-22 [doi]
- Toward a Holistic Software Systems Engineering Approach for Dependable Autonomous SystemsAdina Aniculaesei, Jorg Grieser, Andreas Rausch, Karina Rehfeldt, Tim Warnecke. 23-30 [doi]
- Toward a Methodology for Training with Synthetic Data on the Example of Pedestrian Detection in a Frame-by-Frame Semantic Segmentation TaskAtanas Poibrenski, Janis Sprenger, Christian Muller. 31-34 [doi]
- Deep Learning for Self-Driving Cars: Chances and ChallengesQing Rao, Jelena Frtunikj. 35-38 [doi]
- Exploiting Learning and Scenario-Based Specification Languages for the Verification and Validation of Highly Automated DrivingWerner Damm, Roland Galbas. 39-46 [doi]
- Automotive Safety and Machine Learning: Initial Results from a Study on How to Adapt the ISO 26262 Safety StandardJens Henriksson, Markus Borg, Cristofer Englund. 47-49 [doi]