activity
20242026
most citedSituation Awareness for Intelligent Data Distribution in Connected Vehicles

1 citations · 1 across the 10 of their papers we have counts for

collaborators

11 papers

cs.RO20261 cited

Situation Awareness for Intelligent Data Distribution in Connected Vehicles

Falk Dettinger, Akshay Narla, Michael Weyrich

The limitations of on-board sensors and blind spots caused by occlusion cause the reduction of perception quality in autonomous vehicles. In such cases, cooperative perception prov…

cs.LG2026

Self-Adaptive Anomaly Detection with Reinforcement Learning and Human Feedback in Connected Vehicles

Matthias Weiß, Athreya Hosahalli Prakash, Maurice Artelt +3

Connected vehicles are autonomous cyber-physical systems whose behavior must be continuously monitored during operation to detect deviations from normal operation before they propa…

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.NI2025

Directives for Function Offloading in 5G Networks Based on a Performance Characteristics Analysis

Falk Dettinger, Matthias Weiß, Daniel Baumann +2

Cloud-based offloading helps address energy consumption and performance challenges in executing resource-intensive vehicle algorithms. Utilizing 5G, with its low latency and high b…