Proceedings of the 1st International Workshop on Software Engineering for AI in Autonomous Systems - SEFAIS '18
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9781450357395

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Distributed deep reinforcement learning on the cloud for autonomous driving

Proceedings of the 1st International Workshop on Software Engineering for AI in Autonomous Systems - SEFAIS '18 ◽

10.1145/3194085.3194088 ◽

2018 ◽

Cited By ~ 2

Author(s):

Mitchell Spryn ◽

Aditya Sharma ◽

Dhawal Parkar ◽

Madhur Shrimal

Keyword(s):

Reinforcement Learning ◽

Autonomous Driving

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Towards a holistic software systems engineering approach for dependable autonomous systems

Proceedings of the 1st International Workshop on Software Engineering for AI in Autonomous Systems - SEFAIS '18 ◽

10.1145/3194085.3194091 ◽

2018 ◽

Cited By ~ 9

Author(s):

Adina Aniculaesei ◽

Jörg Grieser ◽

Andreas Rausch ◽

Karina Rehfeldt ◽

Tim Warnecke

Keyword(s):

Systems Engineering ◽

Autonomous Systems ◽

Software Systems ◽

Engineering Approach ◽

Software Systems Engineering

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A data-driven generative model for GPS sensors for autonomous driving

Proceedings of the 1st International Workshop on Software Engineering for AI in Autonomous Systems - SEFAIS '18 ◽

10.1145/3194085.3194089 ◽

2018 ◽

Author(s):

Erik Karlsson ◽

Nasser Mohammadiha

Keyword(s):

Autonomous Driving ◽

Generative Model ◽

Data Driven

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How machine perception relates to human perception

Proceedings of the 1st International Workshop on Software Engineering for AI in Autonomous Systems - SEFAIS '18 ◽

10.1145/3194085.3194092 ◽

2018 ◽

Author(s):

Nico Herbig ◽

Frederik Wiehr ◽

Atanas Poibrenski ◽

Janis Sprenger ◽

Christian Müller

Keyword(s):

Human Perception ◽

Machine Perception

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Automotive safety and machine learning

Proceedings of the 1st International Workshop on Software Engineering for AI in Autonomous Systems - SEFAIS '18 ◽

10.1145/3194085.3194090 ◽

2018 ◽

Cited By ~ 5

Author(s):

Jens Henriksson ◽

Markus Borg ◽

Cristofer Englund

Keyword(s):

Machine Learning ◽

Automotive Safety

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Towards a methodology for training with synthetic data on the example of pedestrian detection in a frame-by-frame semantic segmentation task

Proceedings of the 1st International Workshop on Software Engineering for AI in Autonomous Systems - SEFAIS '18 ◽

10.1145/3194085.3194093 ◽

2018 ◽

Cited By ~ 2

Author(s):

Atanas Poibrenski ◽

Janis Sprenger ◽

Christian Müller

Keyword(s):

Pedestrian Detection ◽

Synthetic Data ◽

Semantic Segmentation ◽

Segmentation Task

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Exploiting learning and scenario-based specification languages for the verification and validation of highly automated driving

Proceedings of the 1st International Workshop on Software Engineering for AI in Autonomous Systems - SEFAIS '18 ◽

10.1145/3194085.3194086 ◽

2018 ◽

Cited By ~ 3

Author(s):

Werner Damm ◽

Roland Galbas

Keyword(s):

Verification And Validation ◽

Specification Languages ◽

Automated Driving ◽

Highly Automated Driving

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Deep learning for self-driving cars

Proceedings of the 1st International Workshop on Software Engineering for AI in Autonomous Systems - SEFAIS '18 ◽

10.1145/3194085.3194087 ◽

2018 ◽

Cited By ~ 20

Author(s):

Qing Rao ◽

Jelena Frtunikj

Keyword(s):

Deep Learning ◽

Self Driving Cars

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Emotion-awareness for intelligent vehicle assistants

Proceedings of the 1st International Workshop on Software Engineering for AI in Autonomous Systems - SEFAIS '18 ◽

10.1145/3194085.3194094 ◽

2018 ◽

Cited By ~ 5

Author(s):

Hans-Jörg Vögel ◽

Christian Süß ◽

Thomas Hubregtsen ◽

Viviane Ghaderi ◽

Ronee Chadowitz ◽

...

Keyword(s):

Intelligent Vehicle

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Proceedings of the 1st International Workshop on Software Engineering for AI in Autonomous Systems - SEFAIS '18Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By ACM Press

Distributed deep reinforcement learning on the cloud for autonomous driving

Towards a holistic software systems engineering approach for dependable autonomous systems

A data-driven generative model for GPS sensors for autonomous driving

How machine perception relates to human perception

Automotive safety and machine learning

Towards a methodology for training with synthetic data on the example of pedestrian detection in a frame-by-frame semantic segmentation task

Exploiting learning and scenario-based specification languages for the verification and validation of highly automated driving

Deep learning for self-driving cars

Emotion-awareness for intelligent vehicle assistants

Proceedings of the 1st International Workshop on Software Engineering for AI in Autonomous Systems - SEFAIS '18
Latest Publications