Light Vehicle for Data Acquisition (VLAD)

The Light Vehicle for Data Acquisition (VLAD) platform was designed and created during the ORIO project.

It is equipped with four steerable high-resolution cameras, two 3D LIDARs capable of capturing point clouds at a rate of 20 Hz, a plane LIDAR with an effective range of 80 m and two ultra-wideband radar systems. An embedded cluster of 48 cores processes the acquired data and is now supported by an NVIDIA AGX Xavier system (deep learning). VLAD is part of a larger system, including a BIM scanner and V.R (HTC Vive) and V.A (Hololens) equipment. The data acquired by VLAD aims to build “data-driven” models of road infrastructure that can go as far as becoming true “digital twins” powered by virtual reality technology.