Asian Surveying & Mapping
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SLA launches OneMap3D; signs MOUs with PropNex, Ninja Van and Kabam to further the use of OneMap
SINGAPORE (EDGEPROP) - Singapore Land Authority (SLA) has launched...
Agrowing and Senseacre Labs partner for enhancing aerial remote sensing from NDVI to Deep Learning AI Precision Agriculture” solutions in India
MADHAPUR, INDIA AND RISHON LEZION, ISRAEL Senseacre Labs, selected...
Singapore Geospatial Festival 2021
Virtual line-up of geospatial interest and capabilities, knowledge-seeding by...
ISRO Invites Applications from Students for Two-week Free Online Course on Remote Sensing and GIS Technology
ISRO, through its centre the Indian Institute of Remote...
Rajnath Singh unveils South Asia’s largest Genomics research centre in Hyderabad
Hyderabad: Nucleome on Thursday unveiled South Asia’s largest and most...
New satellite system could improve Australia’s water quality management
An analysis carried out by the University of New...
China launches twin satellites capable of creating 3D maps in space
China has been busy in 2021 as it ramps...
Egyptian Space Agency says Egypt to launch 4 satellites in 2022
Chief Executive Officer of the Egyptian Space Agency Mohamed...
Government launches new portal to facilitate geospatial planning of MGNREGA assets
The portal will serve as a repository of assets...
BRICS members to share data from Earth remote sensing satellites
BRICS members to share data from Earth remote sensing...

January 2nd, 2012
Comparing OpenStreetMap with TomTom

By means of a variety of studies, the authors show that the difference between the OSM street network for car navigation in Germany and a comparable proprietary dataset was only 9% in June 2011. The results of the analysis regarding the entire street network showed that OSM even exceeds the information provided by the proprietary dataset by 27%. Further analyses show on what scale errors can be reckoned with in the topology of the street network, and the completeness of turn restrictions and street name information. In addition to the analyses conducted over the past few years, projections have additionally been made about the point in time by which the OSM dataset for Germany can be considered “complete” in relative comparison to a commercial dataset. Read More