activity
20202026
most citedA Survey on Anomaly Detection for Technical Systems using LSTM Networks

442 citations · 695 across the 40 of their papers we have counts for

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Showing cs.SEShow all

10 papers · 1 filter

cs.SE2026

Evaluating Hardware Abstraction Layer Concepts for Software Defined Vehicles: Insights into Applicability and Effectiveness

Akshay Narla, Johannes Stümpfle, Souvik Saha +2

The emergence of Software-Defined Vehicles represents a fundamental shift in automotive design, prioritizing software-centric architectures over traditional hardware-driven models.…

cs.SE2026

SDVDiag: Multimodal Causal Discovery for Online Diagnosis in Software-defined Vehicles

Matthias Weiß, Athreya Hosahalli Prakash, Falk Dettinger +2

The transition toward software-defined vehicles concentrates an increasing share of vehicle functionality into distributed software services, where failures propagate through servi…

cs.SE2026

Towards Intelligent Computation Offloading in Dynamic Vehicular Networks: A Scalable Multilayer Pipeline

Falk Dettinger, Matthias Weiß, Baran Can Gül +3

Software Defined Vehicles face an increasing computational gap as advanced algorithms and frequent software updates demand more processing power while onboard hardware remains stat…

cs.SE2026

SDVDiag: Using Context-Aware Causality Mining for the Diagnosis of Connected Vehicle Functions

Matthias Weiß, Falk Dettinger, Elias Detrois +2

Real-world implementations of connected vehicle functions are spreading steadily, yet operating these functions reliably remains challenging due to their distributed nature and the…

cs.SE2025

An OpenSource CI/CD Pipeline for Variant-Rich Software-Defined Vehicles

Matthias Weiß, Anish Navalgund, Johannes Stümpfle +2

Software-defined vehicles (SDVs) offer a wide range of connected functionalities, including enhanced driving behavior and fleet management. These features are continuously updated…

cs.SE2025

SDVDiag: A Modular Platform for the Diagnosis of Connected Vehicle Functions

Matthias Weiß, Falk Dettinger, Michael Weyrich

Connected and software-defined vehicles promise to offer a broad range of services and advanced functions to customers, aiming to increase passenger comfort and support autonomous…