Learning Major Pedestrian Flows in Crowded Scenes. - Peter Widhalm; Norbert Brändle (ICPR, 2010)

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 (AVSS, 2011)

Transport mode detection with realistic Smartphone sensor data. - Peter Widhalm; Philippe Nitsche; Norbert Brändle (ICPR, 2012)

Assessing traffic performance using position density of sparse FCD. - Anita Graser; Wolfgang Ponweiser; Melitta Dragaschnig; Norbert Brändle; Peter Widhalm (ITSC, 2012)

Robust road link speed estimates for sparse or missing probe vehicle data. - Peter Widhalm; Markus Piff; Norbert Brändle; Hannes Koller; Martin Reinthaler (ITSC, 2012)

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)

Fast Hidden Markov Model Map-Matching for Sparse and Noisy Trajectories. - Hannes Koller; Peter Widhalm; Melitta Dragaschnig; Anita Graser (ITSC, 2015)

Mobility Sequence Extraction and Labeling Using Sparse Cell Phone Data. - Yingxiang Yang; Peter Widhalm; Shounak Athavale; Marta C. González (AAAI, 2016)

Semi-supervised segmentation of accelerometer time series for transport mode classification. - Maximilian Leodolter; Peter Widhalm; Claudia Plant; Norbert Brändle (MT-ITS, 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)

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 (UbiComp/ISWC Adjunct, 2018)

Into the Wild - Avoiding Pitfalls in the Evaluation of Travel Activity Classifiers. - Peter Widhalm; Maximilian Leodolter; Norbert Brändle (Human Activity Sensing, 2019)

Ensemble-based domain adaptation for transport mode recognition with mobile sensors. - Peter Widhalm; Maximilian Leodolter; Norbert Brändle (UbiComp/ISWC Adjunct, 2019)

Tackling the SHL recognition challenge with phone position detection and nearest neighbour smoothing. - Peter Widhalm; Philipp Merz; Liviu Coconu; Norbert Brändle (UbiComp/ISWC Adjunct, 2020)

Exploratory Trajectory Analysis for Massive Historical AIS Datasets. - Anita Graser; Melitta Dragaschnig; Peter Widhalm; Hannes Koller; Norbert Brändle (MDM, 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)

Federated Learning for Anomaly Detection in Maritime Movement Data. - Anita Graser; Axel Weissenfeld; Clemens Heistracher; Melitta Dragaschnig; Peter Widhalm (MDM, 2024)