0000000000765077

AUTHOR

Srinivas Boppu

0000-0001-9028-2563

showing 3 related works from this author

Localization of Multi-Class On-Road and Aerial Targets Using mmWave FMCW Radar

2021

mmWave radars play a vital role in autonomous systems, such as unmanned aerial vehicles (UAVs), unmanned surface vehicles (USVs), ground station control and monitoring systems. The challenging task when using mmWave radars is to estimate the accurate angle of arrival (AoA) of the targets, due to the limited number of receivers. In this paper, we present a novel AoA estimation technique, using mmWave FMCW radars operating in the frequency range 77–81 GHz by utilizing the mechanical rotation. Rotating the radar also increases the field of view in both azimuth and elevation. The proposed method estimates the AoA of the targets, using only a single transmitter and receiver. The measurements are…

mmWave radarTK7800-8360Computer Networks and CommunicationsComputer scienceangle of arrival (AoA)Field of viewFMCW radarlocalizationlaw.inventionlawAngle of arrivalmulti-class targetsElectrical and Electronic EngineeringRadarVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Remote sensingTransmitterElevationmmWave radar; FMCW radar; localization; multi-class targets; angle of arrival (AoA); azimuth angle; elevation angle; range-angle maps; morphological operators; unmanned aerial vehicle localization; UAV localizationazimuth angleDroneAzimuthContinuous-wave radarHardware and ArchitectureControl and Systems EngineeringSignal ProcessingElectronicsElectronics; Volume 10; Issue 23; Pages: 2905
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Efficient Hardware Architectures for Accelerating Deep Neural Networks: Survey

2022

In the modern-day era of technology, a paradigm shift has been witnessed in the areas involving applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). Specifically, Deep Neural Networks (DNNs) have emerged as a popular field of interest in most AI applications such as computer vision, image and video processing, robotics, etc. In the context of developed digital technologies and the availability of authentic data and data handling infrastructure, DNNs have been a credible choice for solving more complex real-life problems. The performance and accuracy of a DNN is a way better than human intelligence in certain situations. However, it is noteworthy that …

VDP::Teknologi: 500General Computer ScienceGeneral EngineeringGeneral Materials ScienceElectrical and Electronic EngineeringVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550
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Methodology for Structured Data-Path Implementation in VLSI Physical Design: A Case Study

2022

State-of-the-art modern microprocessor and domain-specific accelerator designs are dominated by data-paths composed of regular structures, also known as bit-slices. Random logic placement and routing techniques may not result in an optimal layout for these data-path-dominated designs. As a result, implementation tools such as Cadence’s Innovus include a Structured Data-Path (SDP) feature that allows data-path placement to be completely customized by constraining the placement engine. A relative placement file is used to provide these constraints to the tool. However, the tool neither extracts nor automatically places the regular data-path structures. In other words, the relative placement f…

Computer Networks and CommunicationsHardware and ArchitectureControl and Systems Engineeringdata-path; placement; routing; innovus; electronic design automation; physical designSignal ProcessingElectrical and Electronic EngineeringVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Electronics
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