Jochen Hipp

According to our database, Jochen Hipp authored at least 29 papers between 1998 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Identifying Scenarios in Field Data to Enable Validation of Highly Automated Driving Systems.

Christian Reichenbächer, Maximilian Rasch, Zafer Kayatas, Florian Wirthmüller, Jochen Hipp, Thao Dang, Oliver Bringmann

Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems, 2022

2021

Teaching Vehicles to Anticipate: A Systematic Study on Probabilistic Behavior Prediction Using Large Data Sets.

Florian Wirthmüller, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert

IEEE Trans. Intell. Transp. Syst., 2021

Predicting the Time Until a Vehicle Changes the Lane Using LSTM-Based Recurrent Neural Networks.

Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert

IEEE Robotics Autom. Lett., 2021

The Atlas of Lane Changes: Investigating Location-Dependent Lane Change Behaviors Using Measurement Data from a Customer Fleet.

Florian Wirthmüller, Jochen Hipp, Christian Reichenbächer, Manfred Reichert

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020

A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions.

Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Towards Incorporating Contextual Knowledge into the Prediction of Driving Behavior.

Florian Wirthmüller, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019

CPD: Crowd-based Pothole Detection.

Florian Wirthmueller, Jochen Hipp, Kai-Uwe Sattler, Manfred Reichert

Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems, 2019

2016

Deriving HD maps for highly automated driving from vehicular probe data.

Kay Massow, Birgit Kwella, Niko Pfeifer, Florian Hausler, Jens Pontow, Ilja Radusch, Jochen Hipp, Frank Dölitzscher, Martin Haueis

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2014

Making Bertha Drive - An Autonomous Journey on a Historic Route.

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

IEEE Intell. Transp. Syst. Mag., 2014

Video based localization for Bertha.

Julius Ziegler, Henning Lategahn, Markus Schreiber, Christoph Gustav Keller, Carsten Knöppel, Jochen Hipp, Martin Haueis, Christoph Stiller

Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

2010

Interactivity Closes the Gap - Lessons Learned in an Automotive Industry Application.

Axel Blumenstock, Markus Mueller, Carsten Lanquillon, Steffen Kempe, Jochen Hipp, Rüdiger Wirth

Proceedings of the Data Mining for Business Applications, 2010

2008

Mining Frequent Temporal Patterns in Interval Sequences.

Steffen Kempe, Jochen Hipp, Carsten Lanquillon, Rudolf Kruse

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008

2007

Rule-Based Measurement Of Data Quality In Nominal Data.

Jochen Hipp, Markus Müller, Johannes Hohendorff, Felix Naumann

Proceedings of the 12th International Conference on Information Quality, 2007

FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns.

Steffen Kempe, Jochen Hipp, Rudolf Kruse

Proceedings of the Data Analysis, Machine Learning and Applications, 2007

2006

Mining Sequences of Temporal Intervals.

Steffen Kempe, Jochen Hipp

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

2005

Regelbasierte Ausreißersuche zur Datenqualitätsanalyse.

Joachim Kübart, Udo Grimmer, Jochen Hipp

Datenbank-Spektrum, 2005

2004

Outlier Detection by Rareness Assumption.

Tomas Hrycej, Jochen Hipp

Proceedings of the 34. Jahrestagung der Gesellschaft für Informatik, 2004

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

Proceedings of the Perspectives Workshop: Data Mining: The Next Generation, 11.07., 2004

2003

Wissensentdeckung in Datenbanken mit Assoziationsregeln: Verfahren zur effizienten Regelgenerierung und deren Integration in den Wissensentdeckungsprozeß.

Jochen Hipp

PhD thesis, 2003

2002

Is pushing constraints deeply into the mining algorithms really what we want?: an alternative approach for association rule mining.

Jochen Hipp, Ulrich Güntzer

SIGKDD Explor., 2002

Efficient Rule Retrieval and Postponed Restrict Operations for Association Rule Mining.

Jochen Hipp, Christoph Mangold, Ulrich Güntzer, Gholamreza Nakhaeizadeh

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2002

Data Mining of Association Rules and the Process of Knowledge Discovery in Databases.

Jochen Hipp, Ulrich Güntzer, Gholamreza Nakhaeizadeh

Proceedings of the Advances in Data Mining, 2002

2001

Integrating Association Rule Mining Algorithms with Relational Database Systems.

Jochen Hipp, Ulrich Güntzer, Udo Grimmer

Proceedings of the ICEIS 2001, 2001

Data Quality Mining - Making a Virute of Necessity.

Jochen Hipp, Ulrich Güntzer, Udo Grimmer

Proceedings of the 2001 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2001

2000

Algorithms for Association Rule Mining - A General Survey and Comparison.

Jochen Hipp, Ulrich Güntzer, Gholamreza Nakhaeizadeh

SIGKDD Explor., 2000

Multisensor obstacle detection and tracking.

Christoph Stiller, Jochen Hipp, C. Rössig, A. Ewald

Image Vis. Comput., 2000

Mining Association Rules: Deriving a Superior Algorithm by Analyzing Today's Approaches.

Jochen Hipp, Ulrich Güntzer, Gholamreza Nakhaeizadeh

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

1999

Analysing Warranty Claims of Automobiles; An Application Description Following the CRISP-DM Data Mining Process.

Jochen Hipp, Guido Lindner

Proceedings of the Internet Applications, 5th International Computer Science Conference, 1999

1998

A New Algorithm for Faster Mining of Generalized Association Rules.

Jochen Hipp, Andreas Myka, Rüdiger Wirth, Ulrich Güntzer

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1998