All the research described in the previous sections is devoted to perform a step forward the state-of-the-art of surveying methods and procedures.
The research carried out at our group aims to be a step forward in improving methods and procedures for indoor navigation and mapping. Currently, the generation of this information is a technological trending topic. We have low quality solutions at very reasonable cost (few hundred euros), but good performance positioning and mapping in interiors is still expensive (tens of thousands of euros) and requires very long acquisition campaigns.
We are working in a new low-cost modular, multi-sensor acquisition and processing platform. The platform uses the newest Commercial-of-the-Shelf sensors and process data under geodetic criteria (redundancy, heterogeneity and rigour).
Latest relevant publications:
E. Angelats, J. A. Navarro, Towards a fast, low-cost indoor mapping and positioning system for civil protection and emergency teams , in Proceedings of the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-2/W8, 2017. 5th International Workshop LowCost 3D – Sensors, Algorithms, Applications, 28–29 November 2017, Hamburg (Germany).
D. Calero, E. Fernández, M. E. Parés, Autonomous wheeled robot platform testbed for navigation and mapping using low-cost sensors , in Proceedings of the LowCost 3D 2017, 28-29 November 2017, Hamburg (Germany).
Chesa, M., “Autonomous Rover for Obstacle Avoidance”. Advisors: Calero, D. (CTTC), Casas, O. (UPC). July 2017.
Vukmirika, N., “Autonomous Rover for Indoor Localization”, Advisors: Fernández, E. (CTTC), Pino, D. (UPC), June 2017.
Road traffic safety is one of the key issue for policy makers and authorities, which is required to be addressed for enabling safe and comfortable movement of goods, people and services. The safety of road users may be affected by the existence and condition of road geometry and physical factors present along the route corridor. These factors are required to be located, measured, classified and recorded in a timely, cost effective manner in order to schedule their maintenance and proper management of the road networks. The use of Mobile Laser Scanning (MLS) system overcomes the limitations existing in current road safety inspection methods by enabling rapid and cost effective acquisition of accurate information about road and its infrastructure. The acquired 3D information facilitates the comprehensive monitoring and evaluation of road infrastructure elements to identify any risk elements along the route corridor.
The main objective of the research carried out in CTTC regarding this topic aims to develop a set of methodologies and algorithms to locate, classify and measure the road infrastructure elements and any deformation existing in them, based on 3D data acquired using MLS system.
Latest relevant publications:
P. Kumar, P. Lewis, C. P. McElhinney, P. Boguslawski, T. McCarthy, Snake energy analysis and results validation for a mobile laser scanning data based automated road edge extraction algorithm , IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 10, No. 2, pp. 763-773, February 2017, http://ieeexplore.ieee.org/document/7473830/.
P. Kumar, P. Lewis, T. McCarthy, The potential of active contour models in extracting road edges from mobile laser scanning data , Infrastructures, Vol. 2, No. 3, pp. 16, July 2017.
One of the most recent application of our work is related to the application of remote sensing techniques to aquiculture. In join collaboration with UPC and IRTA we studied the potential of clorophyll-a estimation from Sentinel 2 imagery to monitor the distribution and amount of phytoplankton in Ebro Delta’s bay.
Soriano, J. “Aplicabilitat de Sentinel2 per a la determinació de paràmetres de qualitat de l’aigua” Supervisors: Eduard Angelats (CTTC), Margarita Fernández(IRTA), Lourdes Reig (UPC). September 2017.
Low-cost precision agriculture