activity
20142021
most citedTechnical Privacy Metrics: a Systematic Survey

351 citations · 366 across the 5 of their papers we have counts for

collaborators

5 papers

cs.MA2021

A Hierarchical State-Machine-Based Framework for Platoon Manoeuvre Descriptions

Corvin Deboeser, Jordan Ivanchev, Thomas Braud +3

This paper introduces the SEAD framework that simplifies the process of designing and describing autonomous vehicle platooning manoeuvres. Although a large body of research has bee…

cs.MA2018★ 1 cited

A Survey on Agent-based Simulation using Hardware Accelerators

Jiajian Xiao, Philipp Andelfinger, David Eckhoff +2

Due to decelerating gains in single-core CPU performance, computationally expensive simulations are increasingly executed on highly parallel hardware platforms. Agent-based simulat…

cs.MA2017★ 12 cited

Potentials and Implications of Dedicated Highway Lanes for Autonomous Vehicles

Jordan Ivanchev, Alois Knoll, Daniel Zehe +2

The introduction of autonomous vehicles (AVs) will have far-reaching effects on road traffic in cities and on highways.The implementation of automated highway system (AHS), possibl…

cs.CR2015★ 351 cited

Technical Privacy Metrics: a Systematic Survey

Isabel Wagner, David Eckhoff

The goal of privacy metrics is to measure the degree of privacy enjoyed by users in a system and the amount of protection offered by privacy-enhancing technologies. In this way, pr…

cs.OH2014★ 2 cited

Evaluating the Electrification of Vehicle Fleets Using the Veins Framework

Sebastian Schellenberg, Rüdiger Berndt, Reinhard German +1

The case study discussed in this paper involves a company maintaining a vehicle fleet of one hundred vehicles. In this article we will discuss how we extend and deploy the Veins fr…