Intergeo 2022

November 24, 2022 Claudia

The Cross Product (TCP) team had the pleasure of exhibiting at Intergeo 2022 in Essen (Germany) along with 450 other exhibitors. 

This exhibition was also the occasion for Andrés Serna and Philippe Duvivier to give a conference on the improvement of road safety thanks to automated risk diagnosis from 3D LiDAR data. 

This is made possible thanks to three companies:

  • the data acquired by TomTom, 
  • iRAP recommendations,
  • The Cross Product (TCP) automated processing solutions.

Worldwide, there are more than 40 million kilometers of roads. By the year 2030 it is estimated that these 40 million kilometers will be responsible for 500 million deaths and injuries. 

In order to avoid such an outcome, the UN created the International Road Assessment Programme (iRAP project) as part of its Sustainable Development Goals. The goal is to save, by 2030, more than 2 million people, to transform 200,000 kilometers into safer roads and to invest more than $200 billion "for a world free of high-risk roads.” 

The iRAP project seeks to identify high risk roads around the world. To do so, they develop a road assessment guide that takes into account geometric aspects of the road such as the number of lanes, lane width, curvature of turns, and roadside hazards (trees, buildings). Then the roads are evaluated one by one through on-site measurements or through visual inspection of video and lidar surveys

So there is a problem: how can we manage to analyze 40 million kilometers with such time-consuming manual measurements?

The first part of the solution comes from TomTom. This famous manufacturer of on-board GPS has been acquiring lidar data on the roads of the 5 continents for a few years. TomTom vehicles equipped for mobile mapping are therefore a rich source of regularly updated 3D information.  

However, this data is not so easily exploitable. Interesting information is indeed difficult to extract because the data is rich, complex and difficult to manipulate. This is where The Cross Product (TCP) technology comes in.

Thanks to the various methods of automated analysis of 3D lidar data developed by The Cross Product, such as classification, vectorization and professional applications, it is possible to automatically extract interesting information and automatically evaluate millions of kilometers of roads. 

This will further allow to:  

  • find possible hazards on a large scale, while controlling the project costs
  • develop the evaluation guide with ease thanks to the lidar data combined with automated processing
  • inspect the roads in order to develop rankings, risk maps and investment plans for safer roads. 

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