Álvaro De-La-Llana-Calvo

University of Alcalá | UAH · Department of Electronics

In this paper, we explore the use of visible light positioning (VLP) technology in vehicles in intelligent transportation systems (ITS), highlighting its potential for maintaining effective line of sight (LOS) and providing high-accuracy positioning between vehicles. The proposed system (V2V-VLP) is based on a position-sensitive detector (PSD) and...

This study unveils a mobile app-based Indoor Positioning System (IPS) tailored for seamless museum navigation. Leveraging smartphone Inertial Measurement Unit (IMU) sensors, it incorporates a Pedestrian Dead Reckoning (PDR) algorithm and a Visible Light Positioning (VLP) beacon-based Angle of Arrival (AoA) algorithm for precise user positioning rel...

The present work proposes a flexible framework for the deployment of real remote laboratories (RRLs). These kinds of laboratory allow students to access hands-on experiences and experiments through an online platform, eliminating the geographical and time constraints associated with traditional on-site laboratories. This innovative approach has pro...

Vehicular communication based visible light presents an excellent solution to ensure road safety and transportation efficiency in critical environments like tunnels, underground garages, or covered parking lots where traditionally RF solutions cannot provide an efficient communication. In this paper, we propose a new multipath channel model for V2V...

In indoor localization there are applications in which the orientation of the agent to be located is as important as knowing the position. In this paper we present the results of the orientation estimation from a local positioning system based on position-sensitive device (PSD) sensors and the visible light emitted from the illumination of the room...

Reduced deployment and calibration requirements are key for scalable and cost-effective indoor positioning systems. In this work, we propose a low-complexity, weak calibration procedure for an indoor positioning system based on infrastructure lighting and a positioning-sensitive detector. The proposed calibration relies on genetic algorithms to obt...

Unlike GNSS-based outdoor positioning, there is no technological alternative for Indoor Positioning Systems (IPSs) that generally stands out from the others. In indoor contexts, the measurement technologies and localization strategies to be used depend strongly on the application requirements and are complementary to each other. In this work, we pr...

Existen diferentes tecnologías y técnicas disponibles para desarrollar sistemas de posicionamiento en interiores. Recientemente, el desarrollo de sistemas de posicionamiento basados en señales ópticas ha despertado un gran interés, principalmente los que utilizan la luz visible de la infraestructura de iluminación. En este trabajo, se analizan qué...

In this work, we have studied the integration of an optical signal-based Indoor Positioning System (IPS) capable of supporting multi-access discrimination techniques. The research analyzes the different techniques and conditions that can be used to develop an IPS using a microcontroller unit (MCU)-based system-on-chip (SoC) systems. The main goal i...

There are several technologies and techniques available when developing indoor positioning systems (IPS). Recently, the development of positioning systems based on optical signals has aroused great interest, mainly those using visible light from the lighting infrastructure. In this work, we analyze which techniques give better results to lay the fo...

En este trabajo proponemos un sistema y un método para posicionamiento en interiores basado en la propia iluminación del entorno con dispositivos LEDs. La propuesta se basa en la modulación de la señal visible emitida, en frecuencias entre los 50 y 200 kHz y su detección sobre un fotodiodo PSD (Position Sensitive Detector). Se presenta una primera...

In this paper, we characterize and measure the effects of the errors introduced by the multipath when obtaining the position of an agent by means of Indoor Positioning Systems (IPS) based on optical signal. These effects are characterized in Local Positioning Systems (LPSs) based on two different techniques: the first one by determining the Angle o...

Here, we present an indoor positioning system (IPS) for detecting mobile agents based on a single Position Sensitive Device sensor (PSD) sited in the environment and InfraRed Emitter Diode (IRED) located on mobile agents. The main goal of the work is to develop an alternative IPS to other sensing technologies, cheaper, easier to install and with a...

Here, we propose a model to determine the effect of multipath in indoor environments when the shape and characteristics of the environment are known. The main paper goal is to model the multipath signal formation to solve, as much as possible, the negative effects in light communications, as well as the indoor positioning errors due to this phenome...

In this paper, we propose a model to characterize Infrared (IR) signal reflections on any kind of surface material, together with a simplified procedure to compute the model parameters. The model works within the framework of Local Positioning Systems (LPS) based on IR signals (IR-LPS) to evaluate the behavior of transmitted signal Multipaths (MP),...

This paper focuses on the application of a decision support system based on evolutionary multi-objective optimization for deploying sensors in an indoor localization system. Our methods aim to provide the human expert who works as the sensor resource manager with a full set of Pareto efficient solutions of the sensor placement problem. In our analy...

This paper focuses on determining the optimum placement of a given number of sensors for estimating the position of a moving target using range-difference measurements. We define a region of interest and generate several random trajectories with the dynamic white noise acceleration model. After obtaining those trajectories that populate the area we...