IMSE Publications

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Author: Rafael de la Rosa Vidal
Year: Since 2002

Journal Papers


A Mobile Platform for Movement Tracking based on a Fast-Execution-Time Optical-Flow Algorithm
R. de la Rosa-Vidal, J.A. Leñero-Bardallo, J.M. Guerrero-Rodríguez and A. Rodríguez-Vázquez
Journal Paper · IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 69, no.4, pp 1715-1727, 2021
abstract      doi      

A multi-purpose mechanical platform to track moving objects in three-dimensional space has been developed. It is composed of one main microcontroller board that processes all system data, two cameras, three motors, and one secondary microcontroller board to position a platform with three degrees of freedom. The system computes the optical flow and moves the cameras accordingly, tracking motion within the visual scene. The platform operates autonomously. To the best of our knowledge, there are no similar systems reported with low-resolution image sensors and low-cost microcontrollers. Existing solutions rely on personal computers and advanced FPGAs to process image data. This article concludes that the optical flow operation is efficient even using an image sensor with very low resolution. Thus, the system complexity and image data processing are alleviated significantly. The platform can be easily adapted to different application scenarios by adding new peripherals, sensors, or image processing algorithms. A detailed description of the system design and experimental results are provided.

A Customizable Thermographic Imaging System for Medical Image Acquisition and Processing
J.A. Leñero-Bardallo, R. de la Rosa-Vidal, R. Padial-Allué, J. Ceballos-Cáceres, A. Rodríguez-Vázquez and J. Bernabéu-Wittel
Journal Paper · IEEE Sensors Journal, vol. 22, no. 17, pp 16730-16741, 2021
abstract      doi      

A custom system has been developed for medical image acquisition and processing in both the visible and the infrared (IR) bands. Unlike some non-customizable commercial devices, this system can easily be adapted to different application scenarios by adding new peripherals and/or custom image processing algorithms. Portable, autonomous, and easy to use, it offers immediate results at the moment of examination and has a competitive cost. The system comprises a Single Board Computer (SBC) controlling a group of sensors and peripherals. The hardware implementation, described in detail in this paper, was adapted for two different application scenarios. First, the system was employed to differentiate between different kinds of vascular anomalies. The clinical results obtained are reported. The device was then redesigned to automatically detect people with high body temperatures in public environments. The system’s real-time image processing capabilities in both scenarios are demonstrated. Specific algorithms were implemented by the authors for each case study.

Conferences


PixiStamp: A tool to acquire, process, and sequence AER data from event-driven systems
R. de la Rosa-Vidal, R. Gomez-Merchan, J.A. Leñero-Bardallo and A. Rodríguez-Vázquez
Conference · Conference on Ph.D Research in Microelectronics and Electronics PRIME 2022
abstract     

We present a new tool, PixiStamp, to readout, process, and sequence data of event-driven systems that exchange data using the Address Event Representation (AER) protocol. PixiStamp is a compact acquisition board that can be easily attached to other devices. Over other existing solutions, it has enhanced hardware processing capabilities to process AER data and generate control signals after data processing, making possible a closed-loop device control. The article describes in detail the system architecture, its mechanical design, and its main features.

On the implementation of in-pixel controlled diodes with sensing and energy harvesting capabilities
R. Gomez-Merchan, R. de la Rosa-Vidal, J.A. Leñero-Bardallo and A. Rodríguez-Vázquez
Conference · Conference on Ph.D Research in Microelectronics and Electronics PRIME 2022
abstract     

Energy harvesting plays a crucial role in low-power systems and Internet-of-Things (IoT) sensing nodes. Measuring the illumination level of the scene is desired in such applications. Few studies have explored the possibility of designing image sensors that use photodiodes to harvest energy from the scene to reduce consumption or even achieve a self-powered operation using frame-based approaches. This work aims to validate the switching capabilities of photodiodes independently within a photodiode array. While most studies focus on alternating the harvesting and sensing operation in two different phases, in this approach a fraction of the photodiodes are connected to a global node to harvest energy, while the rest are sensing. This configuration qualifies to design asynchronous imagers and optimize the harvesting operation. The preliminary experimental results reported in this publication emphasize the validity of this asynchronous switching in photodiode arrays.

Live Demonstration: A tracking system based on a real-time bio-inspired optical flow sensor
R. de la Rosa-Vidal, J.M. Guerrero-Rodriguez and J.A. Lenero-Bardallo
Conference · IEEE International Symposium on Circuits and Systems ISCAS 2020
abstract     

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Books


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