Resumen de Mobile mapping applications of compressive sensing techniques
Urban mobility is playing an increasingly important role in urban development. Smart mobility provides an innovative and sustainable way for urban residents to travel. (Aletà et al., 2017) Intelligent Infrastructure is based on digitalization and Big Data solutions for smart mobility. The key factor for smart infrastructures is predictive maintenance based on connected and digitalized infrastructures. This project will focus on using low-cost mobile devices for continuous monitoring and digitalizing for different transport infrastructures, inside and outside urban areas. The mobile devices will integrate sensors of various natures for the acquisition of georeferenced data. Several sensor technologies will be applied here: i) Photogrammetry provides high-quality, high-definition images and measurements of the surveyed areas. ii) Lidar technology provides accurate and precise Point Clouds in real-time. iii) ToF cameras can generate 2D grayscale photos and 2.5D depth maps simultaneously. iv) Thermal cameras can convert thermal energy into visible light to analyze specific objects or scenes. Compressive sensing (CS) acquires a signal of interest indirectly by correcting a small number of its “projections” rather than evenly sampling it at the Nyquist rate, which can be prohibitively high for broadband signals encountered in many applications. (Wu-Sheng Lu, 2010) Compressed sensing strategies will be applied to the selected sensors, such as image, ToF (Time of flight) cameras, LiDAR sensors. So, the specific objective of this project will be the automatic and real-time data processing for the extraction of relevant information existing in the transport infrastructure. The challenge of this project focuses on efficiently fusing and processing the compressive sampled data from several sensors for Mobile Mapping applications based on devices mounted on non-dedicated vehicles. The goal of this real-time processing consists of detecting relevant assets and components of the transport infrastructure.
