7,903 Hits in 6.7 sec

Inferring and Improving Street Maps with Data-Driven Automation [article]

Favyen Bastani, Songtao He, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi
2019 arXiv   pre-print
system design to leverage inferred data to update existing street maps.  ...  inference, data refinement, and machine-assisted map editing.  ...  By incorporating automatic map inference with data refinement and a machineassisted map editor, Mapster makes automation practical for map editing, and enables the curation of map datasets that are more  ... 
arXiv:1910.04869v2 fatcat:x25nhr7pubcftbc6hws6ftp3ny

Inferring the Scale of OpenStreetMap Features [chapter]

Guillaume Touya, Andreas Reimer
2015 Lecture Notes in Geoinformation and Cartography  
Both approaches are combined and tested against well-known Corine data, resulting in an improvement of the scale inference process.  ...  With the advent of projects like OpenStreetMap, data users are increasingly confronted with the task of dealing with heterogeneously detailed and scaled geodata.  ...  Section 5 describes how scale inference can be used to enhance the automated mapping techniques for OSM data, to illustrate the usefulness of the research.  ... 
doi:10.1007/978-3-319-14280-7_5 fatcat:gwg4fao2hraexmsvw2shoy2hpy

Learning from Maps: Visual Common Sense for Autonomous Driving [article]

Ari Seff, Jianxiong Xiao
2016 arXiv   pre-print
By matching road vectors and metadata from navigation maps with Google Street View images, we can assign ground truth road layout attributes (e.g., distance to an intersection, one-way vs. two-way street  ...  Here, we leverage the availability of standard navigation maps and corresponding street view images to construct an automatically labeled, large-scale dataset for this complex scene understanding problem  ...  Using our automated labeling procedure, we gather data to train our model to detect upcoming intersections (Figure 3 ), predict the distance to them, and infer their topology.  ... 
arXiv:1611.08583v2 fatcat:wes3j26ijbb7vaoupqztq2qtxa

Where can I drive? A System Approach: Deep Ego Corridor Estimation for Robust Automated Driving [article]

Thomas Michalke, Di Feng, Claudius Gläser, Fabian Timm
2021 arXiv   pre-print
We see potential in applying specifically designed data-driven freespace approaches in more lane-based driving applications for highways and inter-urban use.  ...  More recently, data-driven approaches have been proposed that target the drivable area / freespace mainly in inner-city applications.  ...  Independent from the automation level an environment sensor-driven detection approach is first choice due to safety aspects. This means a strong and early combination with map data is no option.  ... 
arXiv:2004.07639v2 fatcat:pritfc2mmfhnfm2gqnhuzsrlci

Distributed and Collaborative Knowledge Management Using an Ontology-Based System [chapter]

Weronika T. Adrian, Antoni Ligęza, Grzegorz J. Nalepa, Krzysztof Kaczor
2014 IFIP Advances in Information and Communication Technology  
During run-time, the ontology is populated with instances stored in the database and used by a Description Logic reasoner to infer new facts.  ...  Using them in a system allows to perform automated reasoning and can enhance the knowledge management.  ...  The research presented in this paper is carried out within the EU FP7 INDECT Project: "Intelligent information system supporting observation, searching and detection for security of citizens in urban environment  ... 
doi:10.1007/978-3-642-54897-0_7 fatcat:db6rrl4wobcwpbbuuspko73tl4

AI Driven Road Maintenance Inspection [article]

Ratnajit Mukherjee, Haris Iqbal, Shabbir Marzban, Ahmed Badar, Terence Brouns, Shruthi Gowda, Elahe Arani, Bahram Zonooz
2021 arXiv   pre-print
The models are mostly trained on commercially viable datasets and augmented with proprietary data.  ...  In this work, we propose a detailed methodology to use state-of-the-art techniques in artificial intelligence and computer vision to automate a sizeable portion of the maintenance inspection subtasks and  ...  Such automation allows seamless scaling of the solution and results in higher recall rate compared to traditional manual approaches which leads to improved and targeted maintenance.  ... 
arXiv:2106.02567v1 fatcat:5ynzp243irajdfk2j5fdnr2rri

Incorporating Data Context to Cost-Effectively Automate End-to-End Data Wrangling

Martin Koehler, Edward Abel, Alex Bogatu, Cristina Civili, Lacramioara Mazilu, Nikolaos Konstantinou, Alvaro Fernandes, John Keane, Leonid Libkin, Norman W. Paton
2019 IEEE Transactions on Big Data  
and financial data, showing substantial improvements in the results of automated wrangling.  ...  , value format transformation, data repair, and mapping generation and selection to optimise the accuracy, consistency and relevance of the result; and (iv) we evaluate the approach with real estate data  ...  ACKNOWLEDGMENTS This research is supported by the VADA 10 grant from the UK Engineering and Physical Sciences Research Council EPSRC, grant number EP/M025268/1.  ... 
doi:10.1109/tbdata.2019.2907588 fatcat:eqwqyfehebazzfdrfv3t2nqv74

Data visualization tool for monitoring transit operation and performance

Abdullah Kurkcu, Fabio Miranda, Kaan Ozbay, Claudio T. Silva
2017 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)  
Using the automated vehicle location data combined with other technologies such as automated incident reporting, transit decision makers can now execute a variety of real-time strategies and performance  ...  The developed web-based tool makes it easy for the end users to access stored data and to query it without any delay or external help.  ...  Linear Integrated Ordered Network (LION) is a single line street base map representing streets and other linear geographic features in New York City.  ... 
doi:10.1109/mtits.2017.8005584 dblp:conf/mtits/KurkcuMOS17 fatcat:y6l2g5uj2jhdfoa53jce6wywzu

Panoramic Street-Level Imagery in Data-Driven Urban Research: A Comprehensive Global Review of Applications, Techniques, and Practical Considerations

Jonathan Cinnamon, Lindi Jahiu
2021 ISPRS International Journal of Geo-Information  
Panoramic street-level imagery provides advantages in comparison to remotely sensed imagery and conventional urban data sources, whether manual, automated, or machine learning data extraction techniques  ...  The ever-increasing global capture of cities in 360° provides considerable new opportunities for data-driven urban research.  ...  , modelling, and inference.  ... 
doi:10.3390/ijgi10070471 fatcat:bpq4ivtmrfd4rebzotmzbif7ra

End-to-End Deep Structured Models for Drawing Crosswalks [chapter]

Justin Liang, Raquel Urtasun
2018 Lecture Notes in Computer Science  
These are then used in combination with road centerlines from freely available maps (e.g., OpenStreetMaps) to solve a structured optimization problem which draws the final crosswalk boundaries.  ...  Our experiments over crosswalks in a large city area show that 96.6% automation can be achieved.  ...  Next, we perform inference using the three feature maps along with a coarse map which provides the road centrelines and intersection polygons.  ... 
doi:10.1007/978-3-030-01258-8_25 fatcat:xuvt5yqqiza6hntsrh3wvkcphy

Smart City Intersections: Intelligence Nodes for Future Metropolises [article]

Zoran Kostić, Alex Angus, Zhengye Yang, Zhuoxu Duan, Ivan Seskar, Gil Zussman, Dipankar Raychaudhuri
2022 arXiv   pre-print
The abundance of data to be collected and processed, in combination with privacy and security concerns, motivates the use of the edge-computing paradigm which aligns well with physical intersections in  ...  ", traffic management, and monitoring of pedestrian behavior during pandemics.  ...  video coding methods and streaming protocols should be explored with focus on localized low-latency performance. VI.  ... 
arXiv:2205.01686v2 fatcat:qzaorumrsja3pc4vflnhugfikm


J. M. Macay Moreia, F. Nex, G. Agugiaro, F. Remondino, N. J. Lim
2013 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Then the digital reconstruction and comparison of LoD1 and LoD2 building models obtained with commercial packages and using different input data are presented.  ...  building block generation, with a description of the most common solutions and approaches.  ...  -PCOFOUND-GA-2008-226070, acronym "Trentino Project") and by and the 3M project (co-founded M arie-Curie Actions FP7-PCOFOUND -GA-2008 226070, acronym "Trentino Project", "Incoming Team 2009").  ... 
doi:10.5194/isprsarchives-xl-1-w1-213-2013 fatcat:4r2ohfp65za7ndt2hy5palne4m

Production of Topographic Maps with VGI: Quality Management and Automation [chapter]

2017 Mapping and the Citizen Sensor  
such an amount of data with very frequent updates.  ...  The review includes methods to assess quality and the level of detail, which is necessary to handle data heterogeneity.  ...  Fig. 4 : 4 Results of the automatic inference of LoD with the improved method from Touya and Reimer (2015) for OSM builtup areas in Tunisia (left) and OSM forest areas in France (right).  ... 
doi:10.5334/bbf.d fatcat:w3bkul7jobdh7jfqhc26q7v5gq


Kharsim Yousef, Eamonn O'Neill
2007 Proceedings of the 2007 workshop on Tagging, mining and retrieval of human related activity information - TMR '07  
Our 3-tier system offers a solution that integrates automated location tagging with existing manual approaches.  ...  The desktop component automates location tagging of the photos and makes use of the GPS location data to provide assisted photo keywording through a process of reverse geo-coding.  ...  ACKNOWLEDGMENTS Thanks to Chun Ho, Jonathan Cruickshanks, Keng-Ming Chang, Kieron Macknight and Tor Erik Linnerud for their contributions.  ... 
doi:10.1145/1330588.1330596 fatcat:h4kg6zbptvhpnjp5gb5ptebe4m


B. Soundararaj, C. Pettit
2021 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
during property valuation and hence improve the accuracy and effectiveness of the corresponding hedonic price models.  ...  Building and using large scale, Automated Valuation Models (AVM) is one of the key multi-disciplinary pursuits in the study of cities and their economies.  ...  ACKNOWLEDGEMENTS This work has been supported by FrontierSI, a not-for-profit company that exists to deliver major benefits to governments, industry and the community in Australia and New Zealand through  ... 
doi:10.5194/isprs-archives-xlvi-4-w1-2021-111-2021 fatcat:f3t4pqjwprearbzwxcmkxjdtwi
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