Jochen Hipp

ORCID

Publication Activity (10 Years)

Years Active: 1998-2022
Publications (10 Years): 14

Top Venues

CoRR

ITSC

VEHITS

IEEE Robotics Autom. Lett.

University of Tübingen, Germany (PHD)

Education History

University of Tübingen, Germany

PHD

Publications

Christian Reichenbächer, Maximilian Rasch, Zafer Kayatas, Florian Wirthmüller, Jochen Hipp, Thao Dang, Oliver Bringmann
Identifying Scenarios in Field Data to Enable Validation of Highly Automated Driving Systems. CoRR (2022)
Christian Reichenbächer, Maximilian Rasch, Zafer Kayatas, Florian Wirthmüller, Jochen Hipp, Thao Dang, Oliver Bringmann
Identifying Scenarios in Field Data to Enable Validation of Highly Automated Driving Systems. VEHITS (2022)
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks. CoRR (2021)
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
Predicting the Time Until a Vehicle Changes the Lane Using LSTM-Based Recurrent Neural Networks. IEEE Robotics Autom. Lett. 6 (2) (2021)
Florian Wirthmüller, Jochen Hipp, Christian Reichenbächer, Manfred Reichert
The Atlas of Lane Changes: Investigating Location-dependent Lane Change Behaviors Using Measurement Data from a Customer Fleet. CoRR (2021)
Florian Wirthmüller, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
Teaching Vehicles to Anticipate: A Systematic Study on Probabilistic Behavior Prediction Using Large Data Sets. IEEE Trans. Intell. Transp. Syst. 22 (11) (2021)
Florian Wirthmüller, Jochen Hipp, Christian Reichenbächer, Manfred Reichert
The Atlas of Lane Changes: Investigating Location-Dependent Lane Change Behaviors Using Measurement Data from a Customer Fleet. ITSC (2021)
Florian Wirthmüller, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
Towards Incorporating Contextual Knowledge into the Prediction of Driving Behavior. CoRR (2020)
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions. SSCI (2020)
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions. CoRR (2020)
Florian Wirthmüller, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
Towards Incorporating Contextual Knowledge into the Prediction of Driving Behavior. ITSC (2020)
Florian Wirthmüller, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
Teaching Vehicles to Anticipate: A Systematic Study on Probabilistic Behavior Prediction using Large Data Sets. CoRR (2019)
Florian Wirthmueller, Jochen Hipp, Kai-Uwe Sattler, Manfred Reichert
CPD: Crowd-based Pothole Detection. VEHITS (2019)
Kay Massow, Birgit Kwella, Niko Pfeifer, Florian Hausler, Jens Pontow, Ilja Radusch, Jochen Hipp, Frank Dölitzscher, Martin Haueis
Deriving HD maps for highly automated driving from vehicular probe data. ITSC (2016)
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
Making Bertha Drive - An Autonomous Journey on a Historic Route. IEEE Intell. Transp. Syst. Mag. 6 (2) (2014)
Julius Ziegler, Henning Lategahn, Markus Schreiber, Christoph Gustav Keller, Carsten Knöppel, Jochen Hipp, Martin Haueis, Christoph Stiller
Video based localization for Bertha. Intelligent Vehicles Symposium (2014)
Steffen Kempe, Jochen Hipp, Carsten Lanquillon, Rudolf Kruse
Mining Frequent Temporal Patterns in Interval Sequences. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 16 (5) (2008)
Steffen Kempe, Jochen Hipp, Rudolf Kruse
FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns. GfKl (2007)
Jochen Hipp, Markus Müller, Johannes Hohendorff, Felix Naumann
Rule-Based Measurement Of Data Quality In Nominal Data. ICIQ (2007)
Steffen Kempe, Jochen Hipp
Mining Sequences of Temporal Intervals. PKDD (2006)
Joachim Kübart, Udo Grimmer, Jochen Hipp
Regelbasierte Ausreißersuche zur Datenqualitätsanalyse. Datenbank-Spektrum 14 (2005)
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
Data Mining: The Next Generation. Perspectives Workshop: Data Mining: The Next Generation (2004)
Tomas Hrycej, Jochen Hipp
Outlier Detection by Rareness Assumption. GI Jahrestagung (1) (2004)
Jochen Hipp, Christoph Mangold, Ulrich Güntzer, Gholamreza Nakhaeizadeh
Efficient Rule Retrieval and Postponed Restrict Operations for Association Rule Mining. PAKDD (2002)
Jochen Hipp, Ulrich Güntzer
Is pushing constraints deeply into the mining algorithms really what we want?: an alternative approach for association rule mining. SIGKDD Explor. 4 (1) (2002)
Jochen Hipp, Ulrich Güntzer, Gholamreza Nakhaeizadeh
Data Mining of Association Rules and the Process of Knowledge Discovery in Databases. ICDM (2002)
Jochen Hipp, Ulrich Güntzer, Udo Grimmer
Integrating Association Rule Mining Algorithms with Relational Database Systems. ICEIS (1) (2001)
Jochen Hipp, Ulrich Güntzer, Udo Grimmer
Data Quality Mining - Making a Virute of Necessity. DMKD (2001)
Christoph Stiller, Jochen Hipp, C. Rössig, A. Ewald
Multisensor obstacle detection and tracking. Image Vis. Comput. 18 (5) (2000)
Jochen Hipp, Ulrich Güntzer, Gholamreza Nakhaeizadeh
Mining Association Rules: Deriving a Superior Algorithm by Analyzing Today's Approaches. PKDD (2000)
Jochen Hipp, Ulrich Güntzer, Gholamreza Nakhaeizadeh
Algorithms for Association Rule Mining - A General Survey and Comparison. SIGKDD Explor. 2 (1) (2000)
Jochen Hipp, Guido Lindner
Analysing Warranty Claims of Automobiles; An Application Description Following the CRISP-DM Data Mining Process. ICSC (1999)
Jochen Hipp, Andreas Myka, Rüdiger Wirth, Ulrich Güntzer
A New Algorithm for Faster Mining of Generalized Association Rules. PKDD (1998)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jochen Hipp