Simulation is essential in robotics to evaluate models and techniques in a controlled setting before conducting experiments on tangible agents. However, developing simulation environments can be a challenging and time-consuming ...

Nowadays there are lots of emerging use cases and fields to artificial intelligence/machine learning technologies. One of several relevant fields is that of image recognition model training, which itself has several potential ...

Recently, the Snapshot Real-Time Kinematic (SRTK) technique was demonstrated, which aims at achieving high accuracy navigation solutions with a very short signal collection. The main challenge in implementing SRTK is the ...

This paper deals with the use of the segmentation tools and principles presented in [10] and [13] for allowing content-based functionalities. In this framework, means for supervised selection of objects in the scene are ...

A vital aspect when modelling the mechanical behaviour of existing masonry structures is the accuracy in which the geometry of the real structure is transferred in the numerical model. Commonly, the geometry of masonry is ...

The purpose of this project is to address a challenge at HP by simplifying the testing procedures technicians perform daily. These procedures are time-consuming and require manual intervention. The proposed solution involves ...

[ANGLÈS] Project on the objective and subjective improvements by pre-processing images to be encoded into a video.

Neural rendering techniques combining machine learning with geometric reasoning have arisen as one of the most promising approaches for synthesizing novel views of a scene from a sparse set of images. Among these, stands ...

Hi ha un consens generalitzat en veure el vehicle autònom com el futur de l'automoció, el qual està mobilitzant grans inversions a tot el món. Aquest vehicle autònom necessitarà múltiples tipus de sensors per orientar-se ...