Jochen Hipp

Orcid: 0000-0002-9037-9899

According to our database1, Jochen Hipp authored at least 30 papers between 1998 and 2024.

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Bibliography

2024
Statistical Modelling of Driving Scenarios in Road Traffic using Fleet Data of Production Vehicles.
CoRR, 2024

2022
Identifying Scenarios in Field Data to Enable Validation of Highly Automated Driving Systems.
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.
IEEE Trans. Intell. Transp. Syst., 2021

Predicting the Time Until a Vehicle Changes the Lane Using LSTM-Based Recurrent Neural Networks.
IEEE Robotics Autom. Lett., 2021

The Atlas of Lane Changes: Investigating Location-Dependent Lane Change Behaviors Using Measurement Data from a Customer Fleet.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020
A Fleet Learning Architecture for Enhanced Behavior Predictions during Challenging External Conditions.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Towards Incorporating Contextual Knowledge into the Prediction of Driving Behavior.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019
CPD: Crowd-based Pothole Detection.
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.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2014
Making Bertha Drive - An Autonomous Journey on a Historic Route.
IEEE Intell. Transp. Syst. Mag., 2014

Video based localization for Bertha.
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

2010
Interactivity Closes the Gap - Lessons Learned in an Automotive Industry Application.
Proceedings of the Data Mining for Business Applications, 2010

2008
Mining Frequent Temporal Patterns in Interval Sequences.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008

2007
Rule-Based Measurement Of Data Quality In Nominal Data.
Proceedings of the 12th International Conference on Information Quality, 2007

FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns.
Proceedings of the Data Analysis, Machine Learning and Applications, 2007

2006
Mining Sequences of Temporal Intervals.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

2005
Regelbasierte Ausreißersuche zur Datenqualitätsanalyse.
Datenbank-Spektrum, 2005

2004
Outlier Detection by Rareness Assumption.
Proceedings of the 34. Jahrestagung der Gesellschaft für Informatik, 2004


2003
Wissensentdeckung in Datenbanken mit Assoziationsregeln: Verfahren zur effizienten Regelgenerierung und deren Integration in den Wissensentdeckungsprozeß.
PhD thesis, 2003

2002
Is pushing constraints deeply into the mining algorithms really what we want?: an alternative approach for association rule mining.
SIGKDD Explor., 2002

Efficient Rule Retrieval and Postponed Restrict Operations for Association Rule Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2002

Data Mining of Association Rules and the Process of Knowledge Discovery in Databases.
Proceedings of the Advances in Data Mining, 2002

2001
Integrating Association Rule Mining Algorithms with Relational Database Systems.
Proceedings of the ICEIS 2001, 2001

Data Quality Mining - Making a Virute of Necessity.
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.
SIGKDD Explor., 2000

Multisensor obstacle detection and tracking.
Image Vis. Comput., 2000

Mining Association Rules: Deriving a Superior Algorithm by Analyzing Today's Approaches.
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.
Proceedings of the Internet Applications, 5th International Computer Science Conference, 1999

1998
A New Algorithm for Faster Mining of Generalized Association Rules.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1998


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