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200 papers

Occupancy and 3D object detection are characterized as two standard tasks in modern autonomous driving system. In order to deploy them on a series of edge chips with better precision and time-consuming trade-off, contemporary approaches…

Computer Vision and Pattern Recognition · Computer Science 2024-09-18 Zichen Yu , Changyong Shu

AOtools is a Python package which is open-source and aimed at providing tools for adaptive optics users and researchers. We present version 1.0 which contains tools for adaptive optics processing, including analysing data in the pupil…

Instrumentation and Methods for Astrophysics · Physics 2020-01-08 M. J. Townson , O. J. D. Farley , G. Orban de Xivry , J. Osborn , A. P. Reeves

Learning the mapping between two function spaces has garnered considerable research attention. However, learning the solution operator of partial differential equations (PDEs) remains a challenge in scientific computing. Fourier neural…

Machine Learning · Computer Science 2024-03-05 Jin Young Shin , Jae Yong Lee , Hyung Ju Hwang

This paper presents a new approach for 6DoF Direct LiDAR-Inertial Odometry (D-LIO) based on the simultaneous mapping of truncated distance fields on CPU. Such continuous representation (in the vicinity of the points) enables working with…

Robotics · Computer Science 2025-12-01 Lucia Coto-Elena , J. E. Maese , L. Merino , F. Caballero

We design $f$-edge fault-tolerant diameter oracles ($f$-FDOs). We preprocess a given graph $G$ on $n$ vertices and $m$ edges, and a positive integer $f$, to construct a data structure that, when queried with a set $F$ of $|F| \leq f$ edges,…

Data Structures and Algorithms · Computer Science 2021-07-09 Davide Bilò , Sarel Cohen , Tobias Friedrich , Martin Schirneck

The Dark Energy Spectroscopic Instrument, consisting of 5020 robotic fiber positioners and associated systems on the Mayall telescope at Kitt Peak, Arizona, is carrying out a survey to measure the spectra of 40 million galaxies and quasars…

Partial differential equations describing the dynamics of physical systems rarely have closed-form solutions. Fourier spectral methods, which use Fast Fourier Transforms (FFTs) to approximate solutions, are a common approach to solving…

Scanning transmission electron microscopy (STEM) allows for imaging, diffraction, and spectroscopy of materials on length scales ranging from microns to atoms. By using a high-speed, direct electron detector, it is now possible to record a…

The IACOB and OWN surveys are two ambitious complementary observational projects which have made available a large multi-epoch spectroscopic database of optical high resolution spectra of Galactic massive O-type stars. As a first step in…

A suite of spectroscopic surveys is producing vast sets of stellar spectra with the goal of advancing stellar physics and Galactic evolution by determining their basic physical properties. A substantial fraction of these stars are in binary…

Solar and Stellar Astrophysics · Physics 2024-06-03 Rhys Seeburger , Hans-Walter Rix , Kareem El-Badry , Maosheng Xiang , Morgan Fouesneau

We present a massively parallel Lagrange decomposition method for solving 0--1 integer linear programs occurring in structured prediction. We propose a new iterative update scheme for solving the Lagrangean dual and a perturbation technique…

Optimization and Control · Mathematics 2022-04-20 Ahmed Abbas , Paul Swoboda

The Gaia-ESO Survey is a large public spectroscopic survey that aims to derive radial velocities and fundamental parameters of about 10^5 Milky Way stars in the field and in clusters. Observations are carried out with the multi-object…

We present TACO, a toolsuite for the development and automatic verification of fault-tolerant and threshold-based distributed algorithms. Our toolsuite implements three approaches for model checking threshold automata in different decidable…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-08 Paul Eichler , Tom Baumeister , Mouhammad Sakr , Mahboubeh Kalateh Dowlati , Marcus Völp , Swen Jacobs

Accurate real-time object detection is vital across numerous industrial applications, from safety monitoring to quality control. Traditional approaches, however, are hindered by arduous manual annotation and data collection, struggling to…

Computer Vision and Pattern Recognition · Computer Science 2025-06-24 Chen Xin , Andreas Hartel , Enkelejda Kasneci

Path smoothness is often overlooked in path imitation learning from expert demonstrations. In this paper, we introduce a novel learning method, termed deep angular A* (DAA*), by incorporating the proposed path angular freedom (PAF) into A*…

Computer Vision and Pattern Recognition · Computer Science 2025-07-25 Zhiwei Xu

OCTOCAM is a multi-channel imager and spectrograph that has been proposed for the 10.4m GTC telescope. It will use dichroics to split the incoming light to produce simultaneous observations in 8 different bands, ranging from the ultraviolet…

Accurate Hessian spectra of foundation models have remained out of reach, leading most prior work to rely on small models or strong structural approximations. We show that faithful spectral analysis of the true Hessian is tractable at…

Machine Learning · Statistics 2026-02-03 Diego Granziol , Khurshid Juarev

Detect-and-Avoid (DAA) capabilities are critical for safe operations of unmanned aircraft systems (UAS). This paper introduces, AirTrack, a real-time vision-only detect and tracking framework that respects the size, weight, and power (SWaP)…

Computer Vision and Pattern Recognition · Computer Science 2023-03-22 Sourish Ghosh , Jay Patrikar , Brady Moon , Milad Moghassem Hamidi , Sebastian Scherer

The Fan Observatory Bench Optical Spectrograph (FOBOS) is intended for single-object optical spectroscopy at moderate resolution (R~1500-3000) using a fiber-fed, bench-mounted design to maintain stability. Whenever possible, the instrument…

The Public European Southern Observatory Spectroscopic Survey of Transient Objects (PESSTO) began as a public spectroscopic survey in April 2012. We describe the data reduction strategy and data products which are publicly available through…