activity
20142024
most citedAutonomous Driving - 5 Years after the Urban Challenge: The Anticipatory Vehicle as a Cyber-Physical System

45 citations · 264 across the 36 of their papers we have counts for

collaborators
Showing 2021Show all

7 papers · 1 filter

cs.DC2021

Evaluating Blockchain Application Requirements and their Satisfaction in Hyperledger Fabric

Sadok Ben Toumia, Christian Berger, Hans P. Reiser

Blockchain applications may offer better fault-tolerance, integrity, traceability and transparency compared to centralized solutions. Despite these benefits, few businesses switch…

cs.CV2021★ 1 cited

Are we ready for beyond-application high-volume data? The Reeds robot perception benchmark dataset

Ola Benderius, Christian Berger, Krister Blanch

This paper presents a dataset, called Reeds, for research on robot perception algorithms. The dataset aims to provide demanding benchmark opportunities for algorithms, rather than…

cs.DC2021★ 1 cited

A Survey on Resilience in the IoT: Taxonomy, Classification and Discussion of Resilience Mechanisms

Christian Berger, Philipp Eichhammer, Hans P. Reiser +3

Internet-of-Things (IoT) ecosystems tend to grow both in scale and complexity as they consist of a variety of heterogeneous devices, which span over multiple architectural IoT laye…

cs.DC2021

Making Reads in BFT State Machine Replication Fast, Linearizable, and Live

Christian Berger, Hans P. Reiser, Alysson Bessani

Practical Byzantine Fault Tolerance (PBFT) is a seminal state machine replication protocol that achieves a performance comparable to non-replicated systems in realistic environment…

cs.CV2021

A Structured Analysis of the Video Degradation Effects on the Performance of a Machine Learning-enabled Pedestrian Detector

Christian Berger

ML-enabled software systems have been incorporated in many public demonstrations for automated driving (AD) systems. Such solutions have also been considered as a crucial approach…

cs.CV2021★ 22 cited

Social-IWSTCNN: A Social Interaction-Weighted Spatio-Temporal Convolutional Neural Network for Pedestrian Trajectory Prediction in Urban Traffic Scenarios

Chi Zhang, Christian Berger, Marco Dozza

Pedestrian trajectory prediction in urban scenarios is essential for automated driving. This task is challenging because the behavior of pedestrians is influenced by both their own…