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Related papers: Synthetic Light-in-Flight

200 papers

This paper presents a simulation workflow for generating synthetic LiDAR datasets to support autonomous vehicle perception, robotics research, and sensor security analysis. Leveraging the CoppeliaSim simulation environment and its Python…

Robotics · Computer Science 2025-06-24 Abhishek Phadke , Shakib Mahmud Dipto , Pratip Rana

Recent techniques for real-time view synthesis have rapidly advanced in fidelity and speed, and modern methods are capable of rendering near-photorealistic scenes at interactive frame rates. At the same time, a tension has arisen between…

Computer Vision and Pattern Recognition · Computer Science 2024-07-03 Daniel Duckworth , Peter Hedman , Christian Reiser , Peter Zhizhin , Jean-François Thibert , Mario Lučić , Richard Szeliski , Jonathan T. Barron

We introduce Doppler time-of-flight (D-ToF) rendering, an extension of ToF rendering for dynamic scenes, with applications in simulating D-ToF cameras. D-ToF cameras use high-frequency modulation of illumination and exposure, and measure…

Graphics · Computer Science 2023-10-06 Juhyeon Kim , Wojciech Jarosz , Ioannis Gkioulekas , Adithya Pediredla

Slow-light media are of interest in the context of quantum computing and enhanced measurement of quantum effects, with particular emphasis on using slow-light with single photons. We use light-in-flight imaging with a single photon…

Deep learning approaches require enough training samples to perform well, but it is a challenge to collect enough real training data and label them manually. In this letter, we propose the use of realistic synthetic data with a wide…

Computer Vision and Pattern Recognition · Computer Science 2020-06-11 Weixing Liu , Jun Liu , Bin Luo

Wavefront sensors encode phase information of an incoming wavefront into an intensity pattern that can be measured on a camera. Several kinds of wavefront sensors (WFS) are used in astronomical adaptive optics. Amongst them, Fourier-based…

LISA PathFinder (LPF) will be flown with the objective to test in space key technologies for LISA. However its sensitivity goals are, for good reason, one order of magnitude less than those which LISA will have to meet, both in drag-free…

A technique is presented for producing synthetic images from numerical simulations whereby the image resolution is adapted around prominent features. In so doing, adaptive image ray-tracing (AIR) improves the efficiency of a calculation by…

Instrumentation and Methods for Astrophysics · Physics 2015-05-20 E. R. Parkin

Indirect Time of Flight LiDARs can indirectly calculate the scene's depth from the phase shift angle between transmitted and received laser signals with amplitudes modulated at a predefined frequency. Unfortunately, this method generates…

Robotics · Computer Science 2023-07-31 Mena Nagiub , Thorsten Beuth , Ganesh Sistu , Heinrich Gotzig , Ciarán Eising

Cameras capable of capturing videos at a trillion frames per second allow to freeze light in motion, a very counterintuitive capability when related to our everyday experience in which light appears to travel instantaneously. By combining…

Optics · Physics 2018-08-29 Daniele Faccio , Andreas Velten

As invisibility cloaking has recently become experimental reality, it is interesting to explore ways to reveal remaining imperfections. In essence, the idea of most invisibility cloaks is to recover the optical path lengths without an…

Optics · Physics 2015-05-30 Jad C. Halimeh , Martin Wegener

Synthetic aperture radar (SAR) can measure the phase with antenna and microwave, which cannot be directly extended to visible light imaging due to phase lost. In this letter, we reported an active remote sensing with visible light via…

Optics · Physics 2022-04-26 Meng Xiang , An Pan , Yiyi Zhao , Xuewu Fan , Hui Zhao , Chuang Li , Baoli Yao

Phase imaging techniques extract the optical path-length information of a scene, whereas wavefront sensors provide the shape of an optical wavefront. Since these two applications have different technical requirements, they have developed…

Optics · Physics 2018-02-28 F. Soldevila , V. Durán , P. Clemente , J. Lancis , E. Tajahuerce

Learning-based methods have become increasingly popular in 3D indoor scene synthesis (ISS), showing superior performance over traditional optimization-based approaches. These learning-based methods typically model distributions on simple…

Computer Vision and Pattern Recognition · Computer Science 2025-01-07 Zixi Liang , Guowei Xu , Haifeng Wu , Ye Huang , Wen Li , Lixin Duan

In this paper we present an experimental setup based on Laser Optical Feedback Imaging (LOFI) and on Synthetic Aperture (SA) with translational scanning by galvanometric mirrors for the purpose of making deep and resolved images through…

Collaborative perception enhances environmental awareness through inter-agent communication and is regarded as a promising solution to intelligent transportation systems. However, existing collaborative methods for Unmanned Aerial Vehicles…

Computer Vision and Pattern Recognition · Computer Science 2025-07-15 Jiuwu Hao , Liguo Sun , Yuting Wan , Yueyang Wu , Ti Xiang , Haolin Song , Pin Lv

A pulse oximeter is an optical device that monitors tissue oxygenation levels. Traditionally, these devices estimate the oxygenation level by measuring the intensity of the transmitted light through the tissue and are embedded into everyday…

Feature detectors and descriptors are key low-level vision tools that many higher-level tasks build on. Unfortunately these fail in the presence of challenging light transport effects including partial occlusion, low contrast, and…

Computer Vision and Pattern Recognition · Computer Science 2019-01-15 Donald G. Dansereau , Bernd Girod , Gordon Wetzstein

Ultrafast shadowgraphy is a new experimental technique that uses few cycle laser pulses to image density gradients in a rapidly evolving plasma. It enables structures that move at speeds close to the speed of light, such as laser driven…

Plasma Physics · Physics 2016-07-25 E. Siminos , S. Skupin , A. Sävert , J. M. Cole , S. P. D. Mangles , M. C. Kaluza

Deep vision models are now mature enough to be integrated in industrial and possibly critical applications such as autonomous navigation. Yet, data collection and labeling to train such models requires too much efforts and costs for a…

Machine Learning · Computer Science 2025-10-24 Estelle Chigot , Dennis G. Wilson , Meriem Ghrib , Fabrice Jimenez , Thomas Oberlin