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Related papers: Long-Range Thermal 3D Perception in Low Contrast E…

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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,…

Computer Vision and Pattern Recognition · Computer Science 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…

Computer Vision and Pattern Recognition · Computer Science 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…

Computer Vision and Pattern Recognition · Computer Science 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…

Computer Vision and Pattern Recognition · Computer Science 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…

Computer Vision and Pattern Recognition · Computer Science 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…

Robotics · Computer Science 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…

Information Theory · Computer Science 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 (>…

Robotics · Computer Science 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…

Computer Vision and Pattern Recognition · Computer Science 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…

Computer Vision and Pattern Recognition · Computer Science 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…

Computer Vision and Pattern Recognition · Computer Science 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…

Computer Vision and Pattern Recognition · Computer Science 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…

Cosmology and Nongalactic Astrophysics · Physics 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…

Instrumentation and Methods for Astrophysics · Physics 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…

Computer Vision and Pattern Recognition · Computer Science 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…

Instrumentation and Methods for Astrophysics · Physics 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…