Peter Widhalm

According to our database, Peter Widhalm authored at least 17 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Federated Learning for Anomaly Detection in Maritime Movement Data.

Anita Graser, Axel Weissenfeld, Clemens Heistracher, Melitta Dragaschnig, Peter Widhalm

Proceedings of the 25th IEEE International Conference on Mobile Data Management, 2024

2020

The M³ massive movement model: a distributed incrementally updatable solution for big movement data exploration.

Anita Graser, Peter Widhalm, Melitta Dragaschnig

Int. J. Geogr. Inf. Sci., 2020

Exploratory Trajectory Analysis for Massive Historical AIS Datasets.

Anita Graser, Melitta Dragaschnig, Peter Widhalm, Hannes Koller, Norbert Brändle

Proceedings of the 21st IEEE International Conference on Mobile Data Management, 2020

Tackling the SHL recognition challenge with phone position detection and nearest neighbour smoothing.

Peter Widhalm, Philipp Merz, Liviu Coconu, Norbert Brändle

Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

2019

Ensemble-based domain adaptation for transport mode recognition with mobile sensors.

Peter Widhalm, Maximilian Leodolter, Norbert Brändle

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

Into the Wild - Avoiding Pitfalls in the Evaluation of Travel Activity Classifiers.

Peter Widhalm, Maximilian Leodolter, Norbert Brändle

Proceedings of the Human Activity Sensing - Corpus and Applications, 2019

2018

Top in the Lab, Flop in the Field?: Evaluation of a Sensor-based Travel Activity Classifier with the SHL Dataset.

Peter Widhalm, Maximilian Leodolter, Norbert Brändle

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

2017

Beyond the "single-operator, CDR-only" paradigm: An interoperable framework for mobile phone network data analyses and population density estimation.

Fabio Ricciato, Peter Widhalm, Francesco Pantisano, Massimo Craglia

Pervasive Mob. Comput., 2017

Semi-supervised segmentation of accelerometer time series for transport mode classification.

Maximilian Leodolter, Peter Widhalm, Claudia Plant, Norbert Brändle

Proceedings of the 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, 2017

2016

Mobility Sequence Extraction and Labeling Using Sparse Cell Phone Data.

Yingxiang Yang, Peter Widhalm, Shounak Athavale, Marta C. González

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Fast Hidden Markov Model Map-Matching for Sparse and Noisy Trajectories.

Hannes Koller, Peter Widhalm, Melitta Dragaschnig, Anita Graser

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

2014

Development of a Real-Time Model of the Occupancy of Short-Term Parking Zones.

Reinhard Hössinger, Peter Widhalm, Michael Ulm, Klaus Heimbuchner, Eike Wolf, Roland Apel, Tina Uhlmann

Int. J. Intell. Transp. Syst. Res., 2014

2012

Robust road link speed estimates for sparse or missing probe vehicle data.

Peter Widhalm, Markus Piff, Norbert Brändle, Hannes Koller, Martin Reinthaler

Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

Assessing traffic performance using position density of sparse FCD.

Anita Graser, Wolfgang Ponweiser, Melitta Dragaschnig, Norbert Brändle, Peter Widhalm

Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

Transport mode detection with realistic Smartphone sensor data.

Peter Widhalm, Philippe Nitsche, Norbert Brändle

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

Next-generation 3D visualization for visual surveillance.

Peter M. Roth, Volker Settgast, Peter Widhalm, Marcel Lancelle, Josef A. Birchbauer, Norbert Brändle, Sven Havemann, Horst Bischof

Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

2010

Learning Major Pedestrian Flows in Crowded Scenes.

Peter Widhalm, Norbert Brändle

Proceedings of the 20th International Conference on Pattern Recognition, 2010