Zipf, A.[Alexander]
* 2010: Open Issues in Bringing 3D to Location Based Services (LBS): A Review Focusing on 3D Data Streaming and 3D Indoor Navigation
* 2012: Analyzing the Contributor Activity of a Volunteered Geographic Information Project: The Case of OpenStreetMap
* 2012: Towards Automatic Vandalism Detection in OpenStreetMap
* 2012: Using Crowdsourced Geodata for Agent-Based Indoor Evacuation Simulations
* 2013: Semantic Interoperability of Sensor Data with Volunteered Geographic Information: A Unified Model
* 2015: Quality Evaluation of VGI Using Authoritative Data: A Comparison with Land Use Data in Southern Germany
* 2016: Defining Fitness-for-Use for Crowdsourced Points of Interest (POI)
* 2016: Guided Classification System for Conceptual Overlapping Classes in OpenStreetMap
* 2016: Show Me the Data!: Structuring Archaeological Data to Deliver Interactive, Transparent 3D Reconstructions in a 3D WebGIS
* 2016: Temporal Analysis on Contribution Inequality in OpenStreetMap: A Comparative Study for Four Countries
* 2017: Highlighting Current Trends in Volunteered Geographic Information
* 2017: Monitoring and Assessing Post-Disaster Tourism Recovery Using Geotagged Social Media Data
* 2017: Towards a Landmark-Based Pedestrian Navigation Service Using OSM Data
* 2017: Towards Detecting the Crowd Involved in Social Events
* 2018: 3D WebGIS: From Visualization to Analysis. An Efficient Browser-Based 3D Line-of-Sight Analysis
* 2018: Assessing spatiotemporal predictability of LBSN: A case study of three Foursquare datasets
* 2018: Efficient Method for POI/ROI Discovery Using Flickr Geotagged Photos
* 2018: Graph-Based Matching of Points-of-Interest from Collaborative Geo-Datasets
* 2018: Volunteered Geographic Information for Disaster Risk Reduction: The Missing Maps Approach and Its Potential within the Red Cross and Red Crescent Movement
* 2019: Deep Learning From Multiple Crowds: A Case Study of Humanitarian Mapping
* 2019: Feasibility of Using Grammars to Infer Room Semantics
* 2019: Mapping Human Settlements with Higher Accuracy and Less Volunteer Efforts by Combining Crowdsourcing and Deep Learning
* 2020: Exploration of OpenStreetMap missing built-up areas using twitter hierarchical clustering and deep learning in Mozambique
* 2020: Integration of Authoritative and Volunteered Geographic Information For Updating Urban Mapping: Challenges and Potentials
* 2020: Towards Detecting Building Facades with Graffiti Artwork Based on Street View Images
* 2021: Analysing the Impact of Large Data Imports in OpenStreetMap
* 2021: Impact of Community Happenings in OpenStreetMap: Establishing a Framework for Online Community Member Activity Analyses, The
* 2021: Mapping Public Urban Green Spaces Based on OpenStreetMap and Sentinel-2 Imagery Using Belief Functions
* 2021: Quiet Route Planning for Pedestrians in Traffic Noise Polluted Environments
* 2021: Sketch Map Tool Facilitates the Assessment of OpenStreetMap Data for Participatory Mapping, The
* 2022: SocialMedia2Traffic: Derivation of Traffic Information from Social Media Data
* 2023: Private Vehicles Greenhouse Gas Emission Estimation at Street Level for Berlin Based on Open Data
Includes: Zipf, A.[Alexander] Zipf, A.
32 for Zipf, A.
Zipf, M.[Michael]
* 2019: Multi-Criteria High Voltage Power Line Routing: An Open Source GIS-Based Approach
Zipfel, O.[Oliver]
* 2022: Study on the Effect of Multispectral LiDAR Data on Automated Semantic Segmentation of 3D-Point Clouds, A
Zipfl, M.[Maximilian]
* 2023: Lanelet2 for nuScenes: Enabling Spatial Semantic Relationships and Diverse Map-based Anchor Paths