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The joint design of the optical system and the downstream algorithm is a challenging and promising task. Due to the demand for balancing the global optimal of imaging systems and the computational cost of physical simulation, existing…

Line codes make it possible to mitigate interference, to prevent short pulses, and to generate streams of bipolar signals with no direct-current (DC) power content through balancing. They find application in magnetic recording (MR) devices,…

Information Theory · Computer Science 2020-05-26 Ahmed Hareedy , Robert Calderbank

Polar molecules, in strong-field seeking states, can be transported and focused by an alternating sequence of electric field gradients that focus in one transverse direction while defocusing in the other. We show, by calculation and…

Accelerator Physics · Physics 2014-11-18 Juris Kalnins , Glen Lambertson , Harvey Gould

Deployment of robotic systems in the real world requires a certain level of robustness in order to deal with uncertainty factors, such as mismatches in the dynamics model, noise in sensor readings, and communication delays. Some approaches…

Robotics · Computer Science 2023-10-04 Henrique Ferrolho , Vladimir Ivan , Wolfgang Merkt , Ioannis Havoutis , Sethu Vijayakumar

Beam-line equipment was upgraded for experiment E08-027 (g2p) in Hall A at Jefferson Lab. Two beam position monitors (BPMs) were necessary to measure the beam position and angle at the target. A new BPM receiver was designed and built to…

MAORY is the adaptive optics module of the E-ELT that will feed the MICADO imaging camera through a gravity invariant exit port. MAORY has been foreseen to implement MCAO correction through three high order deformable mirrors driven by the…

Instrumentation and Methods for Astrophysics · Physics 2015-06-22 Carmelo Arcidiacono , Laura Schreiber , Giovanni Bregoli , Emiliano Diolaiti , Italo Foppiani , Giuseppe Cosentino , Matteo Lombini , R. C. Butler , Paolo Ciliegi

Imaging faint objects, such as exoplanets or disks, around nearby stars is extremely challenging because host star images are dominated by the telescope diffraction pattern. Using a coronagraph is an efficient solution for removing…

Recent years have witnessed the advancement of deep learning vision technologies and applications in the medical industry. Intelligent devices for special medication management are in great need of, which requires more precise detection…

Computer Vision and Pattern Recognition · Computer Science 2021-10-20 Jiao Peng , Feifan Wang , Zhongqiang Fu , Yiying Hu , Zichen Chen , Xinghan Zhou , Lijun Wang

The Fermilab Linac experiences longitudinal beam phase drift, leading to increased particle loss, conventionally corrected through labor-intensive manual RF adjustments. This project explores machine learning-based automation for drift…

Accelerator Physics · Physics 2025-11-25 R. R. Chichili , J. A. Sulskis , R. Sharankova , B. Vamanan , S. Ravi

Training large models with millions or even billions of parameters from scratch incurs substantial computational costs. Parameter Efficient Fine-Tuning (PEFT) methods, particularly Low-Rank Adaptation (LoRA), address this challenge by…

Machine Learning · Computer Science 2025-11-10 Hossein Abdi , Mingfei Sun , Andi Zhang , Samuel Kaski , Wei Pan

This paper presents a loop closure method to correct the long-term drift in LiDAR odometry and mapping (LOAM). Our proposed method computes the 2D histogram of keyframes, a local map patch, and uses the normalized cross-correlation of the…

Robotics · Computer Science 2019-09-27 Jiarong Lin , Fu Zhang

An algorithm for pose and motion estimation using corresponding features in omnidirectional images and a digital terrain map is proposed. In previous paper, such algorithm for regular camera was considered. Using a Digital Terrain (or…

Computer Vision and Pattern Recognition · Computer Science 2011-08-17 Ronen Lerner , Oleg Kupervasser , Ehud Rivlin

In controlled blasting operations, accurately detecting densely distributed tiny boreholes from far-view imagery is critical for operational safety and efficiency. However, existing detection methods often struggle due to small object…

Computer Vision and Pattern Recognition · Computer Science 2025-05-09 Xuesong Liu , Tianyu Hao , Emmett J. Ientilucci

Sub-wavelength diffractive optics meta-optics present a multi-scale optical system, where the behavior of constituent sub-wavelength scatterers, or meta-atoms, need to be modelled by full-wave electromagnetic simulations, whereas the whole…

In many applications of advanced robotic manipulation, six degrees of freedom (6DoF) object pose estimates are continuously required. In this work, we develop a multi-modality tracker that fuses information from visual appearance and…

Computer Vision and Pattern Recognition · Computer Science 2023-02-23 Manuel Stoiber , Mariam Elsayed , Anne E. Reichert , Florian Steidle , Dongheui Lee , Rudolph Triebel

In superconducting linear accelerators (linacs), accurately monitoring beam dynamics is essential for minimizing beam losses and ensuring stable operations. However, destructive diagnostics must be avoided in superconducting sections to…

We use Reinforcement Meta-Learning to optimize an adaptive integrated guidance, navigation, and control system suitable for exoatmospheric interception of a maneuvering target. The system maps observations consisting of strapdown seeker…

Systems and Control · Electrical Eng. & Systems 2021-12-14 Brian Gaudet , Roberto Furfaro , Richard Linares , Andrea Scorsoglio

Real-time optics and spectroscopy simulations ideally provide results at update rates of 120 Hz or more without any noticeable delay between changing input parameters and the calculated results. Such calculations require models of…

In the field of remote sensing, we often utilize oriented bounding boxes (OBB) to bound the objects. This approach significantly reduces the overlap among dense detection boxes and minimizes the inclusion of background content within the…

Computer Vision and Pattern Recognition · Computer Science 2023-09-18 Jianghu Shen , Xiaojun Wu

Visual Inertial Odometry (VIO) is one of the most established state estimation methods for mobile platforms. However, when visual tracking fails, VIO algorithms quickly diverge due to rapid error accumulation during inertial data…

Robotics · Computer Science 2023-06-13 Russell Buchanan , Varun Agrawal , Marco Camurri , Frank Dellaert , Maurice Fallon
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