TY  - CHAP
A1  - Eggert, Mathias
T1  - Big Data Research - How to Structure the Changes of the Past Decade?
T2  - The Art of Structuring
N2  - In the past decade, many IS researchers focused on researching the phenomenon of Big Data. At the same time, the relevance of data protection gets more attention than ever before. In particular, since the enactment of the European General Data Protection Regulation in May 2018 Information Systems research should provide answers for protecting personal data. The article at hand presents a structuring framework for Big Data research outcome and the consideration of data protection. IS Researchers might use the framework in order to structure Big Data literature and to identify research gaps that should be addressed in the future.
Y1  - 2019
SN  - 978-3-030-06234-7
U6  - https://doi.org/10.1007/978-3-030-06234-7_26
SP  - 271
EP  - 281
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Rao, Deepak
A1  - Pathrose, Plato
A1  - Hüning, Felix
A1  - Sid, Jithin
T1  - An Approach for Validating Safety of Perception Software in Autonomous Driving Systems
T2  - Model-Based Safety and Assessment: 6th International Symposium, IMBSA 2019, Thessaloniki, Greece, October 16–18, 2019, Proceedings
N2  - The increasing complexity of Advanced Driver Assistance Systems (ADAS) presents a challenging task to validate safe and reliable performance of these systems under varied conditions. The test and validation of ADAS/AD with real test drives, although important, involves huge costs and time. Simulation tools provide an alternative with the added advantage of reproducibility but often use ideal sensors, which do not reflect real sensor output accurately. This paper presents a new validation methodology using fault injection, as recommended by the ISO 26262 standard, to test software and system robustness. In our work, we investigated and developed a tool capable of inserting faults at different software and system levels to verify its robustness. The scope of this paper is to cover the fault injection test for the Visteon’s DriveCore™ system, a centralized domain controller for Autonomous driving which is sensor agnostic and SoC agnostic. With this new approach, the validation of safety monitoring functionality and its behavior can be tested using real-world data instead of synthetic data from simulation tools resulting in having better confidence in system performance before proceeding with in-vehicle testing.
KW  - Advanced driver assistance systems (ADAS/AD)
KW  - ISO 26262
KW  - Safety-critical systems validation
KW  - Safety of the intended functionality (SOTIF)
Y1  - 2019
SN  - 978-3-030-32872-6
U6  - https://doi.org/10.1007/978-3-030-32872-6_20
SP  - 303
EP  - 316
PB  - Springer
CY  - Cham
ER  -