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The discrete nature of transmitted symbols poses challenges for achieving optimal detection in multiple-input multiple-output (MIMO) systems associated with a large number of antennas. Recently, the combination of two powerful machine…

Signal Processing · Electrical Eng. & Systems 2024-12-11 Xingyu Zhou , Le Liang , Jing Zhang , Chao-Kai Wen , Shi Jin

We present an initial design study for LDMX, the Light Dark Matter Experiment, a small-scale accelerator experiment having broad sensitivity to both direct dark matter and mediator particle production in the sub-GeV mass region. LDMX…

The ILD detector is proposed for an electron-positron collider with collision centre-of-mass energies from 90~\GeV~to about 1~\TeV. It has been developed over the last 10 years by an international team of scientists with the goal to design…

Instrumentation and Detectors · Physics 2020-03-04 The ILD Collaboration

A possible implementation of the Micro Drift Chamber (MDC) technique as a high resolution vertex detector in the upstream part of the DIRAC spectrometer was investigated in this paper. Simulations of different MDC layout were performed with…

Instrumentation and Detectors · Physics 2008-05-16 A. Dudarev , V. Kruglov , L. Kruglova , M. Nikitin

Development of novel radiation-absorbent materials and devices for millimetre and submillimetre astronomy instruments is a research area of high interest, and with substantial engineering challenges. Alongside low-profile structure and…

Instrumentation and Methods for Astrophysics · Physics 2023-02-10 Giampaolo Pisano , Christopher Dunscombe , Peter Hargrave , Alexey Shitvov , Carole Tucker

With the commissioning of the LHC expected in 2009, and the LHC upgrades expected in 2012, ATLAS and CMS are planning for detector upgrades for their innermost layers requiring radiation hard technologies. Chemical Vapor Deposition (CVD)…

Instrumentation and Detectors · Physics 2008-10-21 W. Trischuk , the RD42 collaboration

Current radiation portal monitors at sea ports and international borders that employ standard radiation detection techniques are not very sensitive to nuclear contraband that is well shielded to absorb emanating radiation. Muon Tomography…

Instrumentation and Detectors · Physics 2016-11-17 M. Hohlmann , K. Gnanvo , L. Grasso , J. B. Locke , A. Quintero , D. Mitra

4D radar has received significant attention in autonomous driving thanks to its robustness under adverse weathers. Due to the sparse points and noisy measurements of the 4D radar, most of the research finish the 3D object detection task by…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Hanzhi Zhong , Zhiyu Xiang , Ruoyu Xu , Jingyun Fu , Peng Xu , Shaohong Wang , Zhihao Yang , Tianyu Pu , Eryun Liu

We review advances in low temperature detector (LTD) arrays for Cosmic Microwave Background (CMB) polarization experiments, with a particular emphasis on imaging arrays. We briefly motivate the science case, which has spurred a large number…

Many experimental efforts are striving to provide deep maps of the cosmic microwave background (CMB) to shed light on key questions in modern cosmology. The primary science goal for some of these experiments is to further constrain the…

Instrumentation and Methods for Astrophysics · Physics 2024-08-14 Rustam Balafendiev , Thomas Gascard , Jon E. Gudmundsson

Sharing collective perception messages (CPM) between vehicles is investigated to decrease occlusions so as to improve the perception accuracy and safety of autonomous driving. However, highly accurate data sharing and low communication…

Computer Vision and Pattern Recognition · Computer Science 2022-02-16 Yunshuang Yuan , Hao Cheng , Monika Sester

Preliminary results of a photon detector combining a Micromegas like multiplier coated with a UV-sensitive CsI photocathode are described. The multiplier is made in a CMOS compatible InGrid technology, which allows to post-process it…

Instrumentation and Detectors · Physics 2015-05-18 Joost Melai , Alexey Lyashenko , Amos Breskin , Harry van der Graaf , Jan Timmermans , Jan Visschers , Cora Salm , Jurriaan Schmitz

The proliferation of deep learning-based machine vision applications has given rise to a new type of compression, so called video coding for machine (VCM). VCM differs from traditional video coding in that it is optimized for machine vision…

Computer Vision and Pattern Recognition · Computer Science 2023-08-09 Yeongwoong Kim , Hyewon Jeong , Janghyun Yu , Younhee Kim , Jooyoung Lee , Se Yoon Jeong , Hui Yong Kim

Non-maximum suppression (NMS) is used in virtually all state-of-the-art object detection pipelines. While essential object detection ingredients such as features, classifiers, and proposal methods have been extensively researched…

Computer Vision and Pattern Recognition · Computer Science 2016-01-11 Jan Hosang , Rodrigo Benenson , Bernt Schiele

In human-centered environments such as restaurants, homes, and warehouses, robots often face challenges in accurately recognizing 3D objects. These challenges stem from the complexity and variability of these environments, including diverse…

Computer Vision and Pattern Recognition · Computer Science 2025-08-14 Songsong Xiong , Hamidreza Kasaei

The concept of a small, single-layer water Cherenkov detector, with three photomultiplier tubes (PMTs), placed at its bottom in a $120^{\circ}$ star configuration (\emph{Mercedes} Water Cherenkov Detector) is presented. The PMTs are placed…

In autonomous driving, Vehicle-Infrastructure Cooperative 3D Object Detection (VIC3D) makes use of multi-view cameras from both vehicles and traffic infrastructure, providing a global vantage point with rich semantic context of road…

Computer Vision and Pattern Recognition · Computer Science 2023-03-21 Zhe Wang , Siqi Fan , Xiaoliang Huo , Tongda Xu , Yan Wang , Jingjing Liu , Yilun Chen , Ya-Qin Zhang

We introduce a novel MV-DETR pipeline which is effective while efficient transformer based detection method. Given input RGBD data, we notice that there are super strong pretraining weights for RGB data while less effective works for depth…

Computer Vision and Pattern Recognition · Computer Science 2024-08-14 Zichao Dong , Yilin Zhang , Xufeng Huang , Hang Ji , Zhan Shi , Xin Zhan , Junbo Chen