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Wearable laser systems applied to the digitisation of complex scenarios

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Back-pack system during a data capture: on the left inside a forest and; on the right inside a residential building.

Mobile scanning systems are devices capable of reconstructing complex 3D scenarios using a portable scanner. The 3D reconstruction is possible thanks to the SLAM (Simultaneous Location And Mapping) algorithm.

The SLAM algorithm is a technique commonly used in the field of robotics and allows the estimation of the trajectory through the characteristics of the environment. For this purpose, the SLAm algorithm assumes that the environment is static and applies algorithms based on Kalman filters or similar to estimate the trajectory.

The resolutions of these systems are usually between 3-5 cm and the accuracies are in the centimetre range. The advantages include their speed, as well as the possibility of being fitted to unmanned vehicles (drones). Using drones equipped with laser sensors, obstacle detectors and remote control systems makes it possible to safely and reliably obtain three-dimensional models of critical scenarios, with critical scenarios being understood as all those scenarios in which a person would be at risk while carrying out the work. These types of scenarios range from narrow and cramped caves that are difficult to access to complex industrial scenarios, such as electrical substations, where there is a risk of electric shocks, boiler rooms, buildings with structural problems etc.

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Results obtained by the back-pack system on: a complex historical building and; a forest.
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Results obtained by a back-pack system equipped on a terrestrial drone.