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LiDAR sensors provide high-resolution 3D perception and long-range detection, making them indispensable for autonomous driving and robotics. However, their performance significantly degrades under adverse weather conditions such as snow,…

计算机视觉与模式识别 · 计算机科学 2026-03-23 Ji-il Park , Inwook Shim

Camera and radar sensors have significant advantages in cost, reliability, and maintenance compared to LiDAR. Existing fusion methods often fuse the outputs of single modalities at the result-level, called the late fusion strategy. This can…

计算机视觉与模式识别 · 计算机科学 2022-11-28 Youngseok Kim , Sanmin Kim , Jun Won Choi , Dongsuk Kum

One of the beyond-5G developments that is often highlighted is the integration of wireless communication and radio sensing. This paper addresses the potential of communication-sensing integration of Large Intelligent Surfaces (LIS) in an…

Long-wavelength infrared band exhibits significant utility in thermal signature acquisition and molecular spectral analysis, among other applications. The up-conversion detection technique enables effective signal transduction into the…

Because 3D structure of a roadway environment can be characterized directly by a Light Detection and Ranging (LiDAR) sensors, they can be used to obtain exceptional situational awareness for assitive and autonomous driving systems. Although…

计算机视觉与模式识别 · 计算机科学 2025-10-28 Ghazal Farhani , Taufiq Rahman , Syed Mostaquim Ali , Andrew Liu , Mohamed Zaki , Dominique Charlebois , Benoit Anctil

The 3D Average Precision (3D AP) relies on the intersection over union between predictions and ground truth objects. However, camera-only detectors have limited depth accuracy, which may cause otherwise reasonable predictions that suffer…

计算机视觉与模式识别 · 计算机科学 2024-05-07 Wei-Chih Hung , Vincent Casser , Henrik Kretzschmar , Jyh-Jing Hwang , Dragomir Anguelov

Images captured underwater often suffer from suboptimal illumination settings that can hide important visual features, reducing their quality. We present a novel single-image low-light underwater image enhancer, L^2UWE, that builds on our…

计算机视觉与模式识别 · 计算机科学 2020-11-09 Tunai Porto Marques , Alexandra Branzan Albu

In complex environments, autonomous robot navigation and environmental perception pose higher requirements for SLAM technology. This paper presents a novel method for semantically enhancing 3D point cloud maps with thermal information. By…

机器人学 · 计算机科学 2026-01-15 Jiajun Sun , Yangyi Ou , Haoyuan Zheng , Chao yang , Yue Ma

The millimeter-wave (mmWave)-based Wi-Fi sensing technology has recently attracted extensive attention since it provides a possibility to realize higher sensing accuracy. However, current works mainly concentrate on sensing scenarios where…

信息论 · 计算机科学 2022-10-11 Shiwen He , Kangli Cai , Shiyue Huang , Zhenyu Anz , Wei Huang , Ning Gao

Autonomous offroad driving is essential for applications like emergency rescue, military operations, and agriculture. Despite progress, systems struggle with high-speed vehicles exceeding 10m/s due to the need for accurate long-range (>…

机器人学 · 计算机科学 2024-10-15 Eric Chen , Cherie Ho , Mukhtar Maulimov , Chen Wang , Sebastian Scherer

This paper considers matching images of low-light scenes, aiming to widen the frontier of SfM and visual SLAM applications. Recent image sensors can record the brightness of scenes with more than eight-bit precision, available in their…

计算机视觉与模式识别 · 计算机科学 2021-09-15 Wenzheng Song , Masanori Suganuma , Xing Liu , Noriyuki Shimobayashi , Daisuke Maruta , Takayuki Okatani

IRIS is a near-infrared (0.84 to 2.4 microns) integral field spectrograph and wide-field imager being developed for first light with the Thirty Meter (TMT). It mounts to the advanced optics (AO) system NFIRAOS and has integrated…

Accurate 3D object detection is a critical component of autonomous driving, enabling vehicles to perceive their surroundings with precision and make informed decisions. LiDAR sensors, widely used for their ability to provide detailed 3D…

计算机视觉与模式识别 · 计算机科学 2025-03-20 Christoph Griesbacher , Christian Fruhwirth-Reisinger

LiDAR-based 3D object detection plays a crucial role in modern autonomous driving systems. LiDAR data often exhibit severe changes in properties across different observation ranges. In this paper, we explore cross-range adaptation for 3D…

计算机视觉与模式识别 · 计算机科学 2019-09-27 Ze Wang , Sihao Ding , Ying Li , Minming Zhao , Sohini Roychowdhury , Andreas Wallin , Guillermo Sapiro , Qiang Qiu

Depth sensing is a critical component of autonomous driving technologies, but today's LiDAR- or stereo camera-based solutions have limited range. We seek to increase the maximum range of self-driving vehicles' depth perception modules for…

计算机视觉与模式识别 · 计算机科学 2020-04-08 Kai Zhang , Jiaxin Xie , Noah Snavely , Qifeng Chen

Line intensity mapping (LIM) is a technique for producing 3D maps of the Universe by scanning the sky with a spectrometer sensitive to a range of wavelengths corresponding to the redshifted spectral lines of atoms or molecules, such as…

宇宙学与河外天体物理 · 物理学 2026-03-16 Samuel H. Kramer , Patrick C. Breysse , Anthony R. Pullen , Faizah K. Siddique , Eric R. Switzer , Peter T. Timbie , Dongwoo Chung

For the technology development of the mission EXCEDE (EXoplanetary Circumstellar Environments and Disk Explorer) - a 0.7 m telescope equipped with a Phase-Induced Amplitude Apodization Coronagraph (PIAA-C) and a 2000-element MEMS deformable…

天体物理仪器与方法 · 物理学 2015-06-22 Julien Lozi , Ruslan Belikov , Sandrine J. Thomas , Eugene Pluzhnik , Eduardo Bendek , Olivier Guyon , Glenn Schneider

Unlike RGB cameras that use visible light bands (384$\sim$769 THz) and Lidars that use infrared bands (361$\sim$331 THz), Radars use relatively longer wavelength radio bands (77$\sim$81 GHz), resulting in robust measurements in adverse…

计算机视觉与模式识别 · 计算机科学 2023-11-08 Dong-Hee Paek , Seung-Hyun Kong , Kevin Tirta Wijaya

We are developing a Lumped Element Kinetic Inductance Detector (LEKID) array able to operate in the W-band (75-110 GHz) in order to perform ground-based Cosmic Microwave Background (CMB) and mm-wave astronomical observations. The W-band is…

天体物理仪器与方法 · 物理学 2016-01-08 A. Paiella , A. Coppolecchia , M. G. Castellano , I. Colantoni , A. Cruciani , A. D'Addabbo , P. de Bernardis , S. Masi , G. Presta

Vehicle-infrastructure (V2I) cooperative perception can substantially extend the range, coverage, and robustness of autonomous driving systems beyond the limits of onboard-only sensing, particularly in occluded and adverse-weather…