Jochen Hipp

37 papers A* 1B 2C 2Journal 16Unranked 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Estimating the Joint Probability of Scenario Parameters with Gaussian Mixture Copula Models.
CoRR
Christian Reichenbächer, Philipp Rank, Jochen Hipp, Oliver Bringmann
2024 J jnl
Statistical Modelling of Driving Scenarios in Road Traffic using Fleet Data of Production Vehicles.
CoRR
Christian Reichenbächer, Jochen Hipp, Oliver Bringmann
2022 C conf
Identifying Scenarios in Field Data to Enable Validation of Highly Automated Driving Systems.
VEHITS
Christian Reichenbächer, Maximilian Rasch, Zafer Kayatas, Florian Wirthmüller, Jochen Hipp, Thao Dang, Oliver Bringmann
2022 J jnl
Identifying Scenarios in Field Data to Enable Validation of Highly Automated Driving Systems.
CoRR
Christian Reichenbächer, Maximilian Rasch, Zafer Kayatas, Florian Wirthmüller, Jochen Hipp, Thao Dang, Oliver Bringmann
2021 J jnl
Predicting the Time Until a Vehicle Changes the Lane Using LSTM-Based Recurrent Neural Networks.
IEEE Robotics Autom. Lett.
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
2021 J jnl
Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks.
CoRR
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
2021 J jnl
Teaching Vehicles to Anticipate: A Systematic Study on Probabilistic Behavior Prediction Using Large Data Sets.
IEEE Trans. Intell. Transp. Syst.
Florian Wirthmüller, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
2021 — conf
The Atlas of Lane Changes: Investigating Location-Dependent Lane Change Behaviors Using Measurement Data from a Customer Fleet.
ITSC
Florian Wirthmüller, Jochen Hipp, Christian Reichenbächer, Manfred Reichert
2021 J jnl
The Atlas of Lane Changes: Investigating Location-dependent Lane Change Behaviors Using Measurement Data from a Customer Fleet.
CoRR
Florian Wirthmüller, Jochen Hipp, Christian Reichenbächer, Manfred Reichert
2020 — conf
A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions.
SSCI
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
2020 J jnl
A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions.
CoRR
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
2020 — conf
Towards Incorporating Contextual Knowledge into the Prediction of Driving Behavior.
ITSC
Florian Wirthmüller, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
2020 J jnl
Towards Incorporating Contextual Knowledge into the Prediction of Driving Behavior.
CoRR
Florian Wirthmüller, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
2019 C conf
CPD: Crowd-based Pothole Detection.
VEHITS
Florian Wirthmueller, Jochen Hipp, Kai-Uwe Sattler, Manfred Reichert
2019 J jnl
Teaching Vehicles to Anticipate: A Systematic Study on Probabilistic Behavior Prediction using Large Data Sets.
CoRR
Florian Wirthmüller, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
2016 — conf
Deriving HD maps for highly automated driving from vehicular probe data.
ITSC
Kay Massow, Birgit Kwella, Niko Pfeifer, Florian Hausler, Jens Pontow, Ilja Radusch, Jochen Hipp, Frank Dölitzscher, Martin Haueis
2014 J jnl
Making Bertha Drive - An Autonomous Journey on a Historic Route.
IEEE Intell. Transp. Syst. Mag.
Julius Ziegler, Philipp Bender, Markus Schreiber, Henning Lategahn, Tobias Strauss, Christoph Stiller, Thao Dang, Uwe Franke, Nils Appenrodt, Christoph Gustav Keller, Eberhard Kaus, Ralf G. Herrtwich, Clemens Rabe, David Pfeiffer, Frank Lindner, Fridtjof Stein, Friedrich Erbs, Markus Enzweiler, Carsten Knöppel, Jochen Hipp, Martin Haueis, Maximilian Trepte, Carsten Brenk, Andreas Tamke, Mohammad Ghanaat, Markus Braun, Armin Joos, Hans Fritz, Horst Mock, Martin Hein, Eberhard Zeeb
2014 B conf
Video based localization for Bertha.
Intelligent Vehicles Symposium
Julius Ziegler, Henning Lategahn, Markus Schreiber, Christoph Gustav Keller, Carsten Knöppel, Jochen Hipp, Martin Haueis, Christoph Stiller
2010 — ch.
Interactivity Closes the Gap - Lessons Learned in an Automotive Industry Application.
Data Mining for Business Applications
Axel Blumenstock, Markus Mueller, Carsten Lanquillon, Steffen Kempe, Jochen Hipp, Rüdiger Wirth
2008 J jnl
Mining Frequent Temporal Patterns in Interval Sequences.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Steffen Kempe, Jochen Hipp, Carsten Lanquillon, Rudolf Kruse
2007 — conf
FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns.
GfKl
Steffen Kempe, Jochen Hipp, Rudolf Kruse
2007 — conf
Rule-Based Measurement Of Data Quality In Nominal Data.
ICIQ
Jochen Hipp, Markus Müller, Johannes Hohendorff, Felix Naumann
2006 — conf
Mining Sequences of Temporal Intervals.
PKDD
Steffen Kempe, Jochen Hipp
2005 J jnl
Regelbasierte Ausreißersuche zur Datenqualitätsanalyse.
Datenbank-Spektrum
Joachim Kübart, Udo Grimmer, Jochen Hipp
2004 — conf
Data Mining: The Next Generation.
Perspectives Workshop: Data Mining: The Next Generation
Raghu Ramakrishnan, Rakesh Agrawal, Johann-Christoph Freytag, Toni Bollinger, Christopher W. Clifton, Saso Dzeroski, Jochen Hipp, Daniel A. Keim, Stefan Kramer, Hans-Peter Kriegel, Ulf Leser, Bing Liu, Heikki Mannila, Rosa Meo, Shinichi Morishita, Raymond T. Ng, Jian Pei, Prabhakar Raghavan, Myra Spiliopoulou, Jaideep Srivastava, Vicenç Torra
2004 — conf
Outlier Detection by Rareness Assumption.
GI Jahrestagung (1)
Tomas Hrycej, Jochen Hipp
2003 — —
Wissensentdeckung in Datenbanken mit Assoziationsregeln: Verfahren zur effizienten Regelgenerierung und deren Integration in den Wissensentdeckungsprozeß.
Jochen Hipp
2002 A* conf
Data Mining of Association Rules and the Process of Knowledge Discovery in Databases.
ICDM
Jochen Hipp, Ulrich Güntzer, Gholamreza Nakhaeizadeh
2002 B conf
Efficient Rule Retrieval and Postponed Restrict Operations for Association Rule Mining.
PAKDD
Jochen Hipp, Christoph Mangold, Ulrich Güntzer, Gholamreza Nakhaeizadeh
2002 J jnl
Is pushing constraints deeply into the mining algorithms really what we want?: an alternative approach for association rule mining.
SIGKDD Explor.
Jochen Hipp, Ulrich Güntzer
2001 — conf
Data Quality Mining - Making a Virute of Necessity.
DMKD
Jochen Hipp, Ulrich Güntzer, Udo Grimmer
2001 — conf
Integrating Association Rule Mining Algorithms with Relational Database Systems.
ICEIS (1)
Jochen Hipp, Ulrich Güntzer, Udo Grimmer
2000 J jnl
Algorithms for Association Rule Mining - A General Survey and Comparison.
SIGKDD Explor.
Jochen Hipp, Ulrich Güntzer, Gholamreza Nakhaeizadeh
2000 — conf
Mining Association Rules: Deriving a Superior Algorithm by Analyzing Today's Approaches.
PKDD
Jochen Hipp, Ulrich Güntzer, Gholamreza Nakhaeizadeh
2000 J jnl
Multisensor obstacle detection and tracking.
Image Vis. Comput.
Christoph Stiller, Jochen Hipp, C. Rössig, A. Ewald
1999 — conf
Analysing Warranty Claims of Automobiles; An Application Description Following the CRISP-DM Data Mining Process.
ICSC
Jochen Hipp, Guido Lindner
1998 — conf
A New Algorithm for Faster Mining of Generalized Association Rules.
PKDD
Jochen Hipp, Andreas Myka, Rüdiger Wirth, Ulrich Güntzer