document

Beamforming in sparse, random, 3D array antennas with fluctuating element locations

Bentum, Mark J (author), Lager, I.E. (author), Bosma, S. (author), Bruinsma, W.P. (author), Hes, R.P. (author)

The impact of the fluctuations in the locations of elementary radiators on the radiation properties of three-dimensional (3D) array antennas is studied. The principal radiation features (sidelobes level, beam squint) are examined based on illustrative examples. Some atypical behaviours, that are specific to 3D arrays, are highlighted. The effect...

conference paper 2015

document

Parallel Matrix Multiplication on Memristor-Based Computation-in-Memory Architecture

Haron, M.A.B. (author), Yu, J. (author), Nane, R. (author), Taouil, M. (author), Hamdioui, S. (author), Bertels, K.L.M. (author)

One of the most important constraints of today’s architectures for data-intensive applications is the limited bandwidth due to the memory-processor communication bottleneck. This significantly impacts performance and energy. For instance, the energy consumption share of communication and memory<br/>access may exceed 80%. Recently, the concept of...

conference paper 2016

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A columnar architecture for modern risk management systems

Gonçalves, Romulo (author), Zlatanova, S. (author), Kyzirakos, Kostis (author), Nourian, Pirouz (author), Alvanaki, Foteini (author), van Hage, Willem (author)

3D digital city models form the basis for flow simulations (e.g. wind flow and water runoff), urban planning, underand over- ground formation analysis, and they are very important for automated anomaly detection on man made structures. They consist of large collections of semantically rich objects which have many properties such as material and...

conference paper 2016

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Voxel-Based Extraction and Classification of 3-D Pole-Like Objects From Mobile LiDAR Point Cloud Data

Kang, Z. (author), Yang, Juntao (author), Zhong, Ruofei (author), Wu, Yongxing (author), Shi, Zhenwei (author), Lindenbergh, R.C. (author)

The digital mapping of road environment is an important task for road infrastructure inventory and urban planning. Automatic extraction and classification of pole-like objects can remarkably reduce mapping cost and enhance work efficiency. Therefore, this paper proposes a voxel-based method that automatically extracts and classifies three...

journal article 2018

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Design of RYSEN: An intrinsically safe and low-power three-dimensional overground body weight support

Plooij, M.C. (author), Keller, Urs (author), Sterke, Bram (author), Komi, Salif (author), Vallery, H. (author), Von Zitzewitz, Joachim (author)

Body weight support (BWS) systems are widely used in gait research and rehabilitation. This letter introduces a new three-dimensional overground BWS system, called the RYSEN. The RYSEN is designed to be intrinsically safe and low power consuming, while still performing at least as well as existing BWS systems regarding human-robot interaction....

journal article 2018

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Estimation of Spectral Notches from Pinna Meshes: Insights from a Simple Computational Model

Spagnol, S. (author), Miccini, Riccardo (author), Onofrei, Marius George (author), Unnthorsson, Runar (author), Serafin, Stefania (author)

While previous research on spatial sound perception investigated the physical mechanisms producing the most relevant elevation cues, how spectral notches are generated and related to the individual morphology of the human pinna is still a topic of debate. Correctly modeling these important elevation cues, and in particular the lowest...

journal article 2021

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LaSeSOM: A Latent and Semantic Representation Framework for Soft Object Manipulation

Zhou, Peng (author), Zhu, J. (author), Huo, Shengzeng (author), Navarro-Alarcon, David (author)

Soft object manipulation has recently gained popularity within the robotics community due to its potential applications in many economically important areas. Although great progress has been recently achieved in these types of tasks, most state-of-the-art methods are case-specific; They can only be used to perform a single deformation task (e...

journal article 2021

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Esophageal Tumor Segmentation in CT Images using a Dilated Dense Attention Unet (DDAUnet)

Yousefi, Sahar (author), Sokooti, Hessam (author), Elmahdy, Mohamed S. (author), Lips, Irene M. (author), Shalmani, Mohammad T.Manzuri (author), Zinkstok, Roel T. (author), Dankers, Frank J.W.M. (author), Staring, M. (author)

Manual or automatic delineation of the esophageal tumor in CT images is known to be very challenging. This is due to the low contrast between the tumor and adjacent tissues, the anatomical variation of the esophagus, as well as the occasional presence of foreign bodies (e.g. feeding tubes). Physicians therefore usually exploit additional...

journal article 2021

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An Approach to Map Visibility in The Built Environment from Airborne LiDAR Point Clouds

Zhang, Guan ting (author), Verbree, E. (author), Wang, Xiao jun (author)

Sustainable development can only be achieved with an innovative improvement from the way we currently analyze, design, build and manage our urban spaces. Current digital analysis and design methods for cities, such as visibility analysis, deeply rely on mapping and modeling techniques. However, most methods fall short of depicting the real...

journal article 2021

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Adaptive Control of Soft Robots Based on an Enhanced 3D Augmented Rigid Robot Matching

Trumic, Maja (author), Della Santina, C. (author), Jovanovic, Kosta (author), Fagiolini, Adriano (author)

Despite having proven successful in generating precise motions under dynamic conditions in highly deformable soft-bodied robots, model based techniques are also prone to robustness issues connected to the intrinsic uncertain nature of the dynamics of these systems. This letter aims at tackling this challenge, by extending the augmented rigid...

journal article 2021

document

Advances in Magnetics Roadmap on Spin-Wave Computing

Blanter, Y.M. (author), Carmiggelt, J.J. (author), Cotofana, S.D. (author), Hamdioui, S. (author), Nikitin, A. A. (author), Reimann, T. (author), Sharma, S. (author), van der Sar, T. (author), Zhang, X. (author)

Magnonics addresses the physical properties of spin waves and utilizes them for data processing. Scalability down to atomic dimensions, operation in the GHz-to-THz frequency range, utilization of nonlinear and nonreciprocal phenomena, and compatibility with CMOS are just a few of many advantages offered by magnons. Although magnonics is still...

journal article 2022

document

Multi-class Road User Detection with 3+1D Radar in the View-of-Delft Dataset

Palffy, A. (author), Pool, E.A.I. (author), Baratam, Srimannarayana (author), Kooij, J.F.P. (author), Gavrila, D. (author)

Next-generation automotive radars provide elevation data in addition to range-, azimuth- and Doppler velocity. In this experimental study, we apply a state-of-the-art object detector (PointPillars), previously used for LiDAR 3D data, to such 3+1D radar data (where 1D refers to Doppler). In ablation studies, we first explore the benefits of...

journal article 2022

document

Assessment of Parkinson's Disease Severity from Videos Using Deep Architectures

Yin, Zhao (author), Geraedts, Victor Jacobus (author), Wang, Z. (author), Contarino, Maria Fiorella (author), Dibeklioglu, H. (author), van Gemert, J.C. (author)

Parkinson's disease (PD) diagnosis is based on clinical criteria, i.e., bradykinesia, rest tremor, rigidity, etc. Assessment of the severity of PD symptoms with clinical rating scales, however, is subject to inter-rater variability. In this paper, we propose a deep learning based automatic PD diagnosis method using videos to assist the...

journal article 2022

document

Efficient MSPSO Sampling for Object Detection and 6D Pose Estimation in 3D Scenes

Xing, Xuejun (author), Guo, Jianwei (author), Nan, L. (author), Gu, Qingyi (author), Zhang, Xiaopeng (author), Yan, Dong Ming (author)

The point pair feature (PPF) is widely used in industrial applications for estimating 6D poses of known objects from unrecognized point clouds. The key to the success of PPF matching is to establish correct 3D correspondences between the object and the scene, i.e., finding as many valid similar point pairs as possible. Thus, a set of...

journal article 2022

document

Semantic Scene Completion using Local Deep Implicit Functions on LiDAR Data

Rist, C.B. (author), Emmerichs, David (author), Enzweiler, Markus (author), Gavrila, D. (author)

Semantic scene completion is the task of jointly estimating 3D geometry and semantics of objects and surfaces within a given extent. This is a particularly challenging task on real-world data that is sparse and occluded. We propose a scene segmentation network based on local Deep Implicit Functions as a novel learning-based method for scene...

journal article 2022

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FMCW Radar-Based Hand Gesture Recognition using Spatiotemporal Deformable and Context-Aware Convolutional 5D Feature Representation

Dong, Xichao (author), Zhao, Zewei (author), Wang, Yupei (author), Zeng, Tao (author), Wang, J. (author), Sui, Yi (author)

Recently, frequency-modulated continuous-wave (FMCW) radar-based hand gesture recognition (HGR) using deep learning has achieved favorable performance. However, many existing methods use extracted features separately, i.e., using one of the range, Doppler, azimuth, or elevation angle information, or a combination of any two, to train...

journal article 2022

document

Push-the-Boundary: Boundary-Aware Feature Propagation for Semantic Segmentation of 3D Point Clouds

Du, S. (author), Ibrahimli, N. (author), Stoter, J.E. (author), Kooij, J.F.P. (author), Nan, L. (author)

Feedforward fully convolutional neural networks currently dominate in semantic segmentation of 3D point clouds. Despite their great success, they suffer from the loss of local information at low-level layers, posing significant challenges to accurate scene segmentation and precise object boundary delineation. Prior works either address this...

conference paper 2022

document

A Pitch-Matched ASIC with Integrated 65V TX and Shared Hybrid Beamforming ADC for Catheter-Based High-Frame-Rate 3D Ultrasound Probes

Hopf, Y.M. (author), Ossenkoppele, B.W. (author), Soozande, M. (author), Noothout, E.C. (author), Chang, Z.Y. (author), Chen, C. (author), Vos, H.J. (author), Bosch, J.G. (author), Verweij, M.D. (author), de Jong, N. (author), Pertijs, M.A.P. (author)

Intra-cardiac echography (ICE) probes (Fig. 32.2.1) are widely used in electrophysiology for their good procedure guidance and relatively safe application. ASICs are increasingly employed in these miniature probes to enhance signal quality and reduce the number of connections needed in mm-diameter catheters [1]-[5]. 3D visualization in real...

conference paper 2022

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Open Gimbal: A 3 Degrees of Freedom Open Source Sensing and Testing Platform for Nano and Micro UAVs

Sharma, Suryansh (author), Dijkstra, Tristan (author), Venkatesha Prasad, Ranga Rao (author)

Testing the aerodynamics of micro-UAVs (mUAVs) and nano-UAVs (nUAVs) without actually flying is highly challenging. To address this issue, we introduce Open Gimbal, a specially designed 3 degrees of freedom (DoF) platform that caters to the unique requirements of mUAVs and nUAVs. This platform allows for unrestricted and free rotational...

journal article 2023

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A Provably Stable Iterative Learning Controller for Continuum Soft Robots

Pierallini, M. (author), Stella, F. (author), Angelini, Franco (author), Deutschmann, Bastian (author), Hughes, Josie (author), Bicchi, Antonio (author), Garabini, Manolo (author), Della Santina, C. (author)

Fully exploiting soft robots' capabilities requires devising strategies that can accurately control their movements with the limited amount of control sources available. This task is challenging for reasons including the hard-to-model dynamics, the system's underactuation, and the need of using a prominent feedforward control action to...

journal article 2023