A new foveated space-variant camera for robotic applications. - Jose Antonio Boluda; Fernando Pardo; T. Kayser; J. J. Pérez; Joan Pelechano (ICECS, 1996)

Detecting Motion Independent of the Camera Movement Through a Log-Polar Differential Approach. - Jose Antonio Boluda; Juan Domingo 001; Fernando Pardo; Joan Pelechano (CAIP, 1997)

A Pipelined Reconfigurable Architecture for Visual-Based Navigation. - Jose Antonio Boluda; Fernando Pardo; Francisco Blasco; Joan Pelechano (EUROMICRO, 1999)

Space Variant Vision and Pipelined Architecture for Time to Impact Computation. - Fernando Pardo; Isaac Llorens; Franciscó Mico; Jose Antonio Boluda (CAMP, 2000)

On the advantages of combining differential algorithms and log-polar vision for detection of self-motion from a mobile robot. - Jose Antonio Boluda; Juan Domingo 001 (Robotics Auton. Syst., 2001)

Synthesizing on a Reconfigurable Chip an Autonomous Robot Image Processing System. - Jose Antonio Boluda; Fernando Pardo (FPL, 2003)

A reconfigurable architecture for autonomous visual-navigation. - Jose Antonio Boluda; Fernando Pardo (Mach. Vis. Appl., 2003)

Feature Extraction and Correlation for Time-to-Impact Segmentation Using Log-Polar Images. - Fernando Pardo; Jose Antonio Boluda; Esther de Ves (ICCSA (4), 2004)

FPGA Implementation of a Change-Driven Image Processing Architecture for Optical Flow Computation. - Julio C. Sosa; Rocío Gómez-Fabela; Jose Antonio Boluda; Fernando Pardo (FPL, 2006)

Change-driven Image Architecture on FPGA with adaptive threshold for Optical-Flow Computation. - Julio C. Sosa; Rocío Gómez-Fabela; Jose Antonio Boluda; Fernando Pardo (ReConFig, 2006)

Speeding-Up Differential Motion Detection Algorithms Using a Change-Driven Data Flow Processing Strategy. - Jose Antonio Boluda; Fernando Pardo (CAIP, 2007)

Change-driven data flow image processing architecture for optical flow computation. - Julio C. Sosa; Jose Antonio Boluda; Fernando Pardo; Rocío Gómez-Fabela (J. Real Time Image Process., 2007)

On the Advantages of Asynchronous Pixel Reading and Processing for High-Speed Motion Estimation. - Fernando Pardo; Jose Antonio Boluda; Francisco Vegara; Pedro Zuccarello (ISVC (1), 2008)

Selective Change-Driven Image Processing: A Speeding-Up Strategy. - Jose Antonio Boluda; Francisco Vegara; Fernando Pardo; Pedro Zuccarello (CIARP, 2009)

Accelerating Motion Analysis Algorithms with a Pixel Change-Driven Scheme. - Francisco Vegara; Jose Antonio Boluda; Juan Domingo 001; Fernando Pardo; Xaro Benavent (IPCV, 2009)

SimuRed: A flit-level event-driven simulator for multicomputer network performance evaluation. - Fernando Pardo; Jose Antonio Boluda (Comput. Electr. Eng., 2009)

Selective Change Driven Imaging: A Biomimetic Visual Sensing Strategy. - Jose Antonio Boluda; Pedro Zuccarello; Fernando Pardo; Francisco Vegara (Sensors, 2011)

Advantages of Selective Change-Driven Vision for Resource-Limited Systems. - Fernando Pardo; Pedro Zuccarello; Jose Antonio Boluda; Francisco Vegara (IEEE Trans. Circuits Syst. Video Technol., 2011)

On the Design of Change-driven Data-flow Algorithms and Architectures for High-speed Motion Analysis. - Jose Antonio Boluda; Pedro Zuccarello; Fernando Pardo; Francisco Vegara (ICINCO (1), 2012)

Taking Advantage of Selective Change Driven Processing for 3D Scanning. - Francisco Vegara; Pedro Zuccarello; Jose Antonio Boluda; Fernando Pardo (Sensors, 2013)

Selective Change Driven Vision Sensor With Continuous-Time Logarithmic Photoreceptor and Winner-Take-All Circuit for Pixel Selection. - Fernando Pardo; Jose Antonio Boluda; Francisco Vegara (IEEE J. Solid State Circuits, 2015)

A Selective Change Driven System for High-Speed Motion Analysis. - Jose Antonio Boluda; Fernando Pardo; Francisco Vegara (Sensors, 2016)

High-speed Motion Detection using Event-based Sensing. - Jose Antonio Boluda; Fernando Pardo; Francisco Vegara (VISIGRAPP (4: VISAPP), 2017)

A 4K-Input High-Speed Winner-Take-All (WTA) Circuit with Single-Winner Selection for Change-Driven Vision Sensors. - Fernando Pardo; Càndid Reig; Jose Antonio Boluda; Francisco Vegara (Sensors, 2019)