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Latest maps publications


Tube strike benefited economy, according to Big Data

An academic collaboration between Cambridge and Oxford universities has used Big Data to analyse the final checksum of the effects of a major London tube strike – and found that it brought net benefits by forcing commuters to experiment rationally with how they use London’s tube system, and to find more optimal alternatives which they… Read More


How does a self-driving car even know if it is on a road?

A new research paper submitted yesterday brings back into focus one of the fundamental obstacles to the evolution of the self-driving car – how does an autonomous vehicle even know if it is on a road? Vision-Based Road Detection using Contextual Blocks [PDF] addresses the problems that automated navigational analysis systems face in understanding the… Read More


China’s Tencent invests in Scottish indoor mapping company

Chinese web giant Tencent has completed an undisclosed amount of strategic investment in Scottish indoor mapping firm sensewhere. The Edinburgh-based company, founded by university researchers in 2005, provides hyper-local and positioning services supporting location-based solutions for mobile applications. sensewhere received funding from the Scottish Enterprise Smart:Scotland scheme in 2012, and has since raised undisclosed finance from existing investors…. Read More


What does Big Data have in store for online map services?

New research from a PHD student at London’s University of Greenwich has prompted me to consider some possible futures for online maps services such as Google Maps. Some are ‘bug-fixes’, others qualify as ‘added value’ – and others are potentially rather more dystopian. The paper presents possibilities for changes that online map-providers such as Google,… Read More


‘DeepStereo’: Google research uses deep networks to turn Street View into actual movies

New research from Google has produced some of the most impressive results ever seen from image interpolation – the creation of new images from other photos. By using deep networks to generate ‘missing’ frames from Google Street view, a team led by Google researcher and former visual effects wizard John Flynn have discovered a technique,… Read More



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