1,589 research outputs found

    Event-based Vision: A Survey

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    Event cameras are bio-inspired sensors that differ from conventional frame cameras: Instead of capturing images at a fixed rate, they asynchronously measure per-pixel brightness changes, and output a stream of events that encode the time, location and sign of the brightness changes. Event cameras offer attractive properties compared to traditional cameras: high temporal resolution (in the order of microseconds), very high dynamic range (140 dB vs. 60 dB), low power consumption, and high pixel bandwidth (on the order of kHz) resulting in reduced motion blur. Hence, event cameras have a large potential for robotics and computer vision in challenging scenarios for traditional cameras, such as low-latency, high speed, and high dynamic range. However, novel methods are required to process the unconventional output of these sensors in order to unlock their potential. This paper provides a comprehensive overview of the emerging field of event-based vision, with a focus on the applications and the algorithms developed to unlock the outstanding properties of event cameras. We present event cameras from their working principle, the actual sensors that are available and the tasks that they have been used for, from low-level vision (feature detection and tracking, optic flow, etc.) to high-level vision (reconstruction, segmentation, recognition). We also discuss the techniques developed to process events, including learning-based techniques, as well as specialized processors for these novel sensors, such as spiking neural networks. Additionally, we highlight the challenges that remain to be tackled and the opportunities that lie ahead in the search for a more efficient, bio-inspired way for machines to perceive and interact with the world

    Time-domain optimization of amplifiers based on distributed genetic algorithms

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    Thesis presented in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the subject of Electrical and Computer EngineeringThe work presented in this thesis addresses the task of circuit optimization, helping the designer facing the high performance and high efficiency circuits demands of the market and technology evolution. A novel framework is introduced, based on time-domain analysis, genetic algorithm optimization, and distributed processing. The time-domain optimization methodology is based on the step response of the amplifier. The main advantage of this new time-domain methodology is that, when a given settling-error is reached within the desired settling-time, it is automatically guaranteed that the amplifier has enough open-loop gain, AOL, output-swing (OS), slew-rate (SR), closed loop bandwidth and closed loop stability. Thus, this simplification of the circuit‟s evaluation helps the optimization process to converge faster. The method used to calculate the step response expression of the circuit is based on the inverse Laplace transform applied to the transfer function, symbolically, multiplied by 1/s (which represents the unity input step). Furthermore, may be applied to transfer functions of circuits with unlimited number of zeros/poles, without approximation in order to keep accuracy. Thus, complex circuit, with several design/optimization degrees of freedom can also be considered. The expression of the step response, from the proposed methodology, is based on the DC bias operating point of the devices of the circuit. For this, complex and accurate device models (e.g. BSIM3v3) are integrated. During the optimization process, the time-domain evaluation of the amplifier is used by the genetic algorithm, in the classification of the genetic individuals. The time-domain evaluator is integrated into the developed optimization platform, as independent library, coded using C programming language. The genetic algorithms have demonstrated to be a good approach for optimization since they are flexible and independent from the optimization-objective. Different levels of abstraction can be optimized either system level or circuit level. Optimization of any new block is basically carried-out by simply providing additional configuration files, e.g. chromosome format, in text format; and the circuit library where the fitness value of each individual of the genetic algorithm is computed. Distributed processing is also employed to address the increasing processing time demanded by the complex circuit analysis, and the accurate models of the circuit devices. The communication by remote processing nodes is based on Message Passing interface (MPI). It is demonstrated that the distributed processing reduced the optimization run-time by more than one order of magnitude. Platform assessment is carried by several examples of two-stage amplifiers, which have been optimized and successfully used, embedded, in larger systems, such as data converters. A dedicated example of an inverter-based self-biased two-stage amplifier has been designed, laid-out and fabricated as a stand-alone circuit and experimentally evaluated. The measured results are a direct demonstration of the effectiveness of the proposed time-domain optimization methodology.Portuguese Foundation for the Science and Technology (FCT

    High-fidelity, compact readout of spins in silicon quantum dots

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    Silicon has become one of the leading platforms for quantum computation, having demonstrated qubits with long coherence times and high fidelity operations. Moreover, the similarities between silicon quantum dots and transistors give hope for mass production of qubits easily integrable with control electronics. However, to fully leverage their scalability potential, the footprint of the additional circuits for control and readout needs to be minimised. Here, we introduce a compact spin-readout method based on spin-dependent tunnelling combined with a dispersive charge sensor: the radio-frequency single-electron box (SEB). Opposite to traditional charge sensors, the SEB only requires a single lead, reducing its footprint. Using this sensing technique, we demonstrate spin readout of a single electron spin in a CMOS device manufactured at the 300mm wafer-scale using industrial processes, in which we measure long single spin relaxation times (up to 9 s). Next, we focus on achieving a high readout fidelity, since it is essential to perform error correction and ultimately sets the fidelity of qubit operations. The readout fidelity is partly set by the ability of the sensor to detect rapid events with high accuracy. We demonstrate that a low-loss high-impedance resonator highly coupled to the SEB, together with a Josephson Parameter Amplifier, are central for optimal performance. With these modifications, we obtain an integration time τm = 100 ns for a signal to noise ratio equal to 1, which facilitates single-shot spin readout, reaching a measurement fidelity FM = 99.54%, above the fault-tolerant threshold, in a readout time Δt = 250 μs. We identify that the readout time is limited by the choice of the spin-to-charge conversion mechanism. In the last part of the thesis, we work towards performing Pauli spin blockade spin readout, which does not have such time limitation

    INTEGRATED SINGLE-PHOTON SENSING AND PROCESSING PLATFORM IN STANDARD CMOS

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    Practical implementation of large SPAD-based sensor arrays in the standard CMOS process has been fraught with challenges due to the many performance trade-offs existing at both the device and the system level [1]. At the device level the performance challenge stems from the suboptimal optical characteristics associated with the standard CMOS fabrication process. The challenge at the system level is the development of monolithic readout architecture capable of supporting the large volume of dynamic traffic, associated with multiple single-photon pixels, without limiting the dynamic range and throughput of the sensor. Due to trade-offs in both functionality and performance, no general solution currently exists for an integrated single-photon sensor in standard CMOS single photon sensing and multi-photon resolution. The research described herein is directed towards the development of a versatile high performance integrated SPAD sensor in the standard CMOS process. Towards this purpose a SPAD device with elongated junction geometry and a perimeter field gate that features a large detection area and a highly reduced dark noise has been presented and characterized. Additionally, a novel front-end system for optimizing the dynamic range and after-pulsing noise of the pixel has been developed. The pixel is also equipped with an output interface with an adjustable pulse width response. In order to further enhance the effective dynamic range of the pixel a theoretical model for accurate dead time related loss compensation has been developed and verified. This thesis also introduces a new paradigm for electrical generation and encoding of the SPAD array response that supports fully digital operation at the pixel level while enabling dynamic discrete time amplitude encoding of the array response. Thus offering a first ever system solution to simultaneously exploit both the dynamic nature and the digital profile of the SPAD response. The array interface, comprising of multiple digital inputs capacitively coupled onto a shared quasi-floating sense node, in conjunction with the integrated digital decoding and readout electronics represents the first ever solid state single-photon sensor capable of both photon counting and photon number resolution. The viability of the readout architecture is demonstrated through simulations and preliminary proof of concept measurements

    Cmos Rotary Traveling Wave Oscillators (Rtwos)

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    Rotary Traveling Wave Oscillator (RTWO) represents a transmission line based technology for multi-gigahertz multiple phase clock generation. RTWO is known for providing low jitter and low phase noise signals but the issue of high power consumption is a major drawback in its application. Direction of wave propagation is random and is determined by the least resistance path in the absence of an external direction control circuit. The objective of this research is to address some of the problems of RTWO design, including high power consumption, uncertainty of propagation direction and optimization of design variables. Included is the modeling of RTWO for sensitivity, phase noise and power analysis. Research objectives were met through design, simulation and implementation. Different designs of RTWO in terms of ring size and number of amplifier stages were implemented and tested. Design tools employed include Agilent ADS, Cadence EDA, SONNET and Altium PCB Designer. Test chip was fabricated using IBM 0.18 μm RF CMOS technology. Performance measures of interest are tuning range, phase noise and power consumption. Agilent ADS and SONNET were used for electromagnetic modeling of transmission lines and electromagnetic field radiation. For each design, electromagnetic simulations were carried out followed by oscillation synthesis based on circuit simulation in Cadence Spectre. RTWO frequencies between 2 GHz and 12 GHz were measured based on the ring size of transmission lines. Simulated microstrip transmission line segments had a quality factor between 5.5 and 18. For the various designs, power consumption ranged from 20 mW to 120 mW. Measured phase noise ranged between -123 dBc/Hz and -87 dBc/Hz at 1 MHz offset. Development also included the design of a wide band buffer and a printed circuit board with high signal integrity for accurate measurement of oscillation frequency and other performance measures. Simulated performance, schematics and measurement results are presented
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