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Sub-nanometer displacement detection lays the solid foundation for critical applications in modern metrology. In-plane displacement sensing, however, is mainly dominated by the detection of differential photocurrent signals from…

Applied Physics · Physics 2020-04-23 Miao-Hsuan Chien , Johannes Steurer , Pedram Sadeghi , Nicolas Cazier , Silvan Schmid

High-resolution 3D tracking with sub-nanosecond timing is required for the detection of elementary particles, such as neutrinos. Conventional detectors, which utilize analog silicon photomultipliers, face challenges in balancing spatial…

Instrumentation and Detectors · Physics 2025-11-24 Kodai Kaneyasu , Till Dieminger , Matthew Franks , Davide Sgalaberna , Claudio Bruschini , Edoardo Charbon

Integrated sensing and communication (ISAC) has emerged as a transformative technology for 6G networks, enabling the seamless integration of communication and sensing functionalities. Reconfigurable intelligent surfaces (RIS), with their…

Signal Processing · Electrical Eng. & Systems 2025-01-14 Shoushuo Zhang , Rang Liu , Ming Li , Wei Wang , Qian Liu

We present the final results from a novel Cherenkov imaging detector called the Focusing DIRC (FDIRC). This detector was designed as a full-scale prototype of the particle identification system for the SuperB experiment [1], and comprises…

Instrumentation and Detectors · Physics 2015-12-09 B. Dey , M. Borsato , N. Arnaud , D. W. G. S. Leith , K. Nishimura , D. A. Roberts , B. N. Ratcliff , G. Varner , J. Va'vra

We propose a multi-stage convolutional neural network (MSCNN) based integrated method for reducing uncertainty of 3D point accuracy of lasar scanner (LS) in rough indoor rooms, providing more accurate spatial measurements for high-precision…

Computer Vision and Pattern Recognition · Computer Science 2025-08-19 Qinyuan Fan , Clemens Gühmann

The process of tracking human anatomy in computer vision is referred to pose estimation, and it is used in fields ranging from gaming to surveillance. Three-dimensional pose estimation traditionally requires advanced equipment, such as…

Computer Vision and Pattern Recognition · Computer Science 2022-08-25 Alice Ruget , Max Tyler , Germán Mora Martín , Stirling Scholes , Feng Zhu , Istvan Gyongy , Brent Hearn , Steve McLaughlin , Abderrahim Halimi , Jonathan Leach

We demonstrate sub-femtometer displacement-sensing results achieved with a compact optical resonator-based laser interferometry technique called heterodyne cavity-tracking, intended for local displacement or inertial sensing with ultra-high…

Instrumentation and Detectors · Physics 2026-05-06 Shreevathsa Chalathadka Subrahmanya , Jonathan Joseph Carter , Oliver Gerberding

We present DASPack, a high-performance, open-source compression tool specifically designed for distributed acoustic sensing (DAS) data. As DAS becomes a key technology for real-time, high-density, and long-range monitoring in fields such as…

The Teledyne COSMOS-66 is a next-generation CMOS camera designed for astronomical imaging, featuring a large-format sensor ($8120 \times 8120$ pixels, each $10 \mu m$), high quantum efficiency, high frame rates, and a correlated…

A near-field integrated sensing, positioning, and communication (ISPAC) framework is proposed, where a base station (BS) simultaneously serves multiple communication users and carries out target sensing and positioning. A novel double-array…

Information Theory · Computer Science 2023-11-15 Haochen Li , Zhaolin Wang , Xidong Mu , Zhiwen Pan , Yuanwei Liu

Advances in autonomous driving are inseparable from sensor fusion. Heterogeneous sensors are widely used for sensor fusion due to their complementary properties, with radar and camera being the most equipped sensors. Intrinsic and extrinsic…

Robotics · Computer Science 2023-07-31 Lei Cheng , Arindam Sengupta , Siyang Cao

Navigation inside a closed area with no GPS-signal accessibility is a highly challenging task. In order to tackle this problem, recently the imaging-based methods have grabbed the attention of many researchers. These methods either extract…

Computer Vision and Pattern Recognition · Computer Science 2021-02-09 Ali Ghofrani , Rahil Mahdian Toroghi , Seyed Mojtaba Tabatabaie

Low-cost indoor mobile robots have gained popularity with the increasing adoption of automation in homes and commercial spaces. However, existing lidar and camera-based solutions have limitations such as poor performance in visually…

Robotics · Computer Science 2025-07-02 David Hunt , Shaocheng Luo , Spencer Hallyburton , Shafii Nillongo , Yi Li , Tingjun Chen , Miroslav Pajic

We have developed two radiation-hard ASICs for optical data transmission in the ATLAS pixel detector at the LHC at CERN: a driver chip for a Vertical Cavity Surface Emitting Laser (VCSEL) diode for 80 Mbit/s data transmission from the…

Instrumentation and Detectors · Physics 2017-08-23 K. K. Gan

Accurately measuring mechanical displacements is essential for a vast portion of current technologies. Several optical techniques accomplish this task, allowing for non-contact sensing even below the diffraction limit. Here we introduce an…

The High Luminosity LHC (HL-LHC) upgrade requires the planned Inner Tracker (ITk) of the ATLAS detector to tolerate extremely high radiation doses. Specifically, the innermost parts of the pixel system will have to withstand radiation…

The Multi-channel Intergrated Zone-sampling Analogue-memory based Readout (MIZAR) ASIC is a new type of front-end electronics which has been developed for the detection of the optical Cherenkov signals by Extensive Air Showers directly…

Fingerprinting-based positioning, one of the promising indoor positioning solutions, has been broadly explored owing to the pervasiveness of sensor-rich mobile devices, the prosperity of opportunistically measurable location-relevant…

Machine Learning · Statistics 2019-12-20 Caifa Zhou

The basic principle of operation of silicon sensors with resistive read-out is built-in charge sharing. Resistive Silicon Detectors (RSD, also known as AC-LGAD), exploiting the signals seen on the electrodes surrounding the impact point,…

We propose three novel metrics for evaluating the accuracy of a set of estimated camera poses given the ground truth: Translation Alignment Score (TAS), Rotation Alignment Score (RAS), and Pose Alignment Score (PAS). The TAS evaluates the…

Computer Vision and Pattern Recognition · Computer Science 2024-08-06 Seong Hun Lee , Javier Civera