Stefan Haag

20 papers C 9Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Offline Auto Labeling: BAAS.
CoRR
Stefan Haag, Bharanidhar Duraisamy, Felix Govaers, Wolfgang Koch, Martin Fritzsche, Jürgen Dickmann
2025 C conf
Process Management Compass And Competence Ladder To Empower Process Management Skills.
ECMS
Carlo Simon, Merlin Hladik, Stefan Haag
2024 C conf
Pairing Finite Automata And Petri Nets - Simulation Of Processes In Logistics -.
ECMS
Carlo Simon, Stefan Haag
2024 — conf
Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet.
SDF
Arian Mehrfard, Bharanidhar Duraisamy, Stefan Haag, Florian Geiss
2024 J jnl
Performance Evaluation of Deep Learning-Based State Estimation: A Comparative Study of KalmanNet.
CoRR
Arian Mehrfard, Bharanidhar Duraisamy, Stefan Haag, Florian Geiss
2023 C conf
Experiments On GPT-3 Assisted Process Model Development.
ECMS
Carlo Simon, Stefan Haag, Lara Zakfeld
2022 C conf
Stratification Of Timed Petri Nets At The Example Of A Production Process.
ECMS
Carlo Simon, Stefan Haag, Lara Zakfeld
2021 C conf
Research-Agenda For Process Simulation Dashboards.
ECMS
Carlo Simon, Stefan Haag, Lara Zakfeld
2021 J jnl
Showing the Advantages of Pull over Push Production with the Aid of Petri Nets (Extended Abstract).
EMISA Forum
Carlo Simon, Stefan Haag, Lara Zakfeld
2021 J jnl
UNIFY: Multi-Belief Bayesian Grid Framework based on Automotive Radar.
CoRR
Stefan Haag, Bharanidhar Duraisamy, Daniel Pfrommer, Wolfgang Koch, Martin Fritzsche, Jürgen Dickmann
2020 J jnl
A Case-Study to Teach Process-Aware Information Systems.
EMISA Forum
Carlo Simon, Stefan Haag
2020 C conf
Detection and Tracking on Automotive Radar Data with Deep Learning.
FUSION
Julius F. Tilly, Stefan Haag, Ole Schumann, Fabio Weishaupt, Bharanidhar Duraisamy, Jürgen Dickmann, Martin Fritzsche
2020 — conf
Digitale Zwillinge modellieren und verstehen: Eine Fallstudie zum problembasierten und forschenden Lernen (Modeling and Understanding Digital Twins: A Case Study of Problem-Based and Exploratory Learning).
Modellierung (Companion)
Carlo Simon, Stefan Haag
2020 — conf
OAFuser: Online Adaptive Extended Object Tracking and Fusion using automotive Radar Detections.
MFI
Stefan Haag, Bharanidhar Duraisamy, Constantin Blessing, Reiner Marchthaler, Wolfgang Koch, Martin Fritzsche, Jürgen Dickmann
2020 C conf
Simulatable Reference Models To Transform Enterprises For The Digital Age - A Case Study -.
ECMS
Carlo Simon, Stefan Haag
2019 J jnl
Automated Ground Truth Estimation For Automotive Radar Tracking Applications With Portable GNSS And IMU Devices.
CoRR
Nicolas Scheiner, Stefan Haag, Nils Appenrodt, Bharanidhar Duraisamy, Jürgen Dickmann, Martin Fritzsche, Bernhard Sick
2019 — conf
Extended Object Tracking assisted Adaptive Clustering for Radar in Autonomous Driving Applications.
SDF
Stefan Haag, Bharanidhar Duraisamy, Felix Govaers, Wolfgang Koch, Martin Fritzsche, Jürgen Dickmann
2019 C conf
FSimulation Of Horizontal And Vertical Integration In Digital Twins.
ECMS
Stefan Haag, Carlo Simon
2018 — conf
Classification Assisted Tracking for Autonomous Driving Domain.
SDF
Stefan Haag, Bharanidhar Duraisamy, Wolfgang Koch, Jürgen Dickmann
2018 C conf
Radar and Lidar Target Signatures of Various Object Types and Evaluation of Extended Object Tracking Methods for Autonomous Driving Applications.
FUSION
Stefan Haag, Bharanidhar Duraisamy, Wolfgang Koch, Jürgen Dickmann