A smart-sensor VLSI circuit suitable for focal-plane low-level image processing applications
is presented. The architecture of the device is based on a fine-grain software-programmable …

For engineering applications that are based on nonlinear phenomena, novel information
processing systems require new methodologies and design principles. This perspective is …

Visual understanding of 3-D environments in real time, at low power, is a huge
computational challenge. Often referred to as simultaneous localization and map** …

Robotics faces a long-standing obstacle in which the speed of the vision system's scene
understanding is insufficient, impeding the robot's ability to perform agile tasks …

We present a high-speed, energy-efficient Convolutional Neural Network (CNN) architecture
utilising the capabilities of a unique class of devices known as analog Focal Plane Sensor …

Focal-plane Sensor-Processor Arrays (FPSPs) are new imaging devices with parallel Single
Instruction Multiple Data (SIMD) computational capabilities built into every pixel. Compared …

Application examples of a fully-programmable analogic focal plane array processor are
introduced. One mixed-signal sensory/processing chip is presented, which is capable of …

Massively parallel processor-per-pixel single-instruction multiple data arrays are being
successfully used for early vision applications in smart sensor systems; however, they are …

This paper discusses issues related to the efficiency of silicon implementations of cellular
processor arrays executing basic grey-level image processing operations-linear …

In this paper we present implementation and experimental results for a digital vision chip
that operates in mixed asynchronous/synchronous mode. Mixed configuration benefits from …