English
Related papers

Related papers: Understanding the physics of coherent LiDAR

200 papers

Using the laser backscattering method at future linear colliders one can obtain gamma-gamma and gamma-electron colliding beams (photon colliders) with energy and luminosity comparable to that in e^+e^- collisions. This option has been…

High Energy Physics - Experiment · Physics 2009-10-31 Valery Telnov

Established x-ray diffraction methods allow for high-resolution structure determination of crystals, crystallized protein structures or even single molecules. While these techniques rely on coherent scattering, incoherent processes like…

Dynamically probing systems of ultrastrongly coupled light and matter by advanced coherent control has been recently proposed as a unique tool for detecting peculiar quantum features of this regime. Coherence allows in principle on-demand…

Quantum Physics · Physics 2021-05-26 A. Ridolfo , J. Rajendran , L. Giannelli , E. Paladino , G. Falci

Coherent diffractive imaging is a technique that recovers the sample image by numerically inverting its diffraction pattern. We propose a generalization of this method for the inversion of multi-wavelength data. Using this approach, we show…

Optics · Physics 2020-05-08 Erik Malm , Edwin Fohtung , Anders Mikkelsen

LiDAR is an essential sensor for autonomous driving by collecting precise geometric information regarding a scene. %Exploiting this information for perception is interesting as the amount of available data increases. As the performance of…

Computer Vision and Pattern Recognition · Computer Science 2024-06-05 Jules Sanchez , Louis Soum-Fontez , Jean-Emmanuel Deschaud , Francois Goulette

The complete characterization of spatial coherence is difficult because the mutual coherence function is a complex-valued function of four independent variables. This difficulty limits the ability of controlling and optimizing spatial…

3D surface reconstruction is essential across applications of virtual reality, robotics, and mobile scanning. However, RGB-based reconstruction often fails in low-texture, low-light, and low-albedo scenes. Handheld LiDARs, now common on…

Image and Video Processing · Electrical Eng. & Systems 2024-12-02 Nikhil Behari , Aaron Young , Siddharth Somasundaram , Tzofi Klinghoffer , Akshat Dave , Ramesh Raskar

Conventional LIDAR systems require hundreds or thousands of photon detections to form accurate depth and reflectivity images. Recent photon-efficient computational imaging methods are remarkably effective with only 1.0 to 3.0 detected…

Applications · Statistics 2019-11-13 Joshua Rapp , Vivek K Goyal

Generically, a laser is composed of an optical resonator coupled to a gain medium. If the light amplification via stimulated emission dominates the mirror losses, the emitted light is coherent. Recent studies have shown that sub-wavelength…

Quantum Physics · Physics 2020-07-01 Raphael Holzinger , David Plankensteiner , Laurin Ostermann , Helmut Ritsch

Coherent Diffractive Imaging is a lensless technique that allows imaging of matter at a spatial resolution not limited by lens aberrations. This technique exploits the measured diffraction pattern of a coherent beam scattered by periodic…

Computational Physics · Physics 2025-08-27 Alessandro Colombo , Davide Emilio Galli , Liberato De Caro , Francesco Scattarella , Elvio Carlino

Coherent X-ray diffraction microscopy is a method of imaging non-periodic isolated objects at resolutions only limited, in principle, by the largest scattering angles recorded. We demonstrate X-ray diffraction imaging with high resolution…

Breathing monitoring is crucial in healthcare for early detection of health issues, but traditional methods face challenges like invasiveness, privacy concerns, and limited applicability in daily settings. This paper introduces light…

Image and Video Processing · Electrical Eng. & Systems 2024-04-18 Omar Rinchi , Ahmad Alsharoa , Denise A. Baker

Coherent backscattering is a coherence effect in the propagation of waves through disordered media involving two or more scattering events. Here, we report on the observation of coherent backscattering from individual atoms and their mirror…

Safety and reliability are crucial for the public acceptance of autonomous driving. To ensure accurate and reliable environmental perception, intelligent vehicles must exhibit accuracy and robustness in various environments. Millimeter-wave…

Computer Vision and Pattern Recognition · Computer Science 2025-02-24 Yue Sun , Yeqiang Qian , Chunxiang Wang , Ming Yang

Light detection and ranging (Lidar) single-photon devices capture range and intensity information from a 3D scene. This modality enables long range 3D reconstruction with high range precision and low laser power. A multispectral…

Signal Processing · Electrical Eng. & Systems 2019-09-20 Julián Tachella , Yoann Altmann , Miguel Márquez , Henry Arguello-Fuentes , Jean-Yves Tourneret , Stephen McLaughlin

Absorption of light is directly associated with dissipative processes in a material. In suitably tailored resonators, a specific level of dissipation can support coherent perfect absorption, the time-reversed analogue of lasing, which…

Optics · Physics 2017-10-26 Denis G Baranov , Alex Krasnok , Andrea Alù

When localizing and detecting 3D objects for autonomous driving scenes, obtaining information from multiple sensor (e.g. camera, LIDAR) typically increases the robustness of 3D detectors. However, the efficient and effective fusion of…

Computer Vision and Pattern Recognition · Computer Science 2020-09-11 Can Chen , Luca Zanotti Fragonara , Antonios Tsourdos

Perfect absorption of light critically affects light-matter interaction for various applications. Coherent perfect absorbers (CPA) gain the unique capability of controlling light with light in a linear fashion. Multi-color CPAs [Phys. Rev.…

Diffractive neural networks hold great promise for applications requiring intensive computational processing. Considerable attention has focused on diffractive networks for either spatially coherent or spatially incoherent illumination.…

Optics · Physics 2025-03-25 Matan Kleiner , Lior Michaeli , Tomer Michaeli

This paper presents a new approach to 3D object detection that leverages the properties of the data obtained by a LiDAR sensor. State-of-the-art detectors use neural network architectures based on assumptions valid for camera images.…

Computer Vision and Pattern Recognition · Computer Science 2021-04-09 Guus Engels , Nerea Aranjuelo , Ignacio Arganda-Carreras , Marcos Nieto , Oihana Otaegui