Academic literature on the topic '1D LIDAR laser'

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Journal articles on the topic "1D LIDAR laser"

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GRIGORESCU, SORIN-DAN, GEORGE-CALIN SERITAN, BOGDAN-ADRIAN ENACHE, FLORIN-CIPRIAN ARGATU, FELIX-CONSTANTIN ADOCHIEI, and VICTOR STANCIU. "INDOOR 3D SCANNING AND NAVIGATION SYSTEM FOR AN AUTOMATED GUIDED VEHICLE." REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE 68, no. 2 (2023): 232–35. http://dx.doi.org/10.59277/rrst-ee.2023.68.2.19.

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The paper presents the development of a 3D laser scanning system that can produce an indoor navigation map for an automated guided vehicle. The system uses only a 1D Light Detection and Ranging (LiDAR) as a measuring device and two stepper motors for positioning. Several tests are performed to determine the best trade-off between the time needed for the scan and the required resolution to produce an indoor navigation map, and the relationship between these variables is presented.
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Huang, Cheng-Han, Chia-Hung Wu, Rashid G. Bikbaev, et al. "Wavelength- and Angle-Selective Photodetectors Enabled by Graphene Hot Electrons with Tamm Plasmon Polaritons." Nanomaterials 13, no. 4 (2023): 693. http://dx.doi.org/10.3390/nano13040693.

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Recently, two-dimensional materials have attracted attention owing to their special optical characteristics and miniaturization, with low thickness as well as extremely high responsivity. Additionally, Tamm plasmon polariton (TPP) resonance can be observed by combining a metal film and a one-dimensional (1D) photonic crystal (PC), where an electric field confinement is located at the metal–1D PC interface. In this study, a graphene layer combined with a TPP is proposed as a wavelength- and angle-selective photodetector. The graphene layer is located where the strong field confinement occurs, a
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Hoang, Long, Suk-Hwan Lee, Eung-Joo Lee, and Ki-Ryong Kwon. "GSV-NET: A Multi-Modal Deep Learning Network for 3D Point Cloud Classification." Applied Sciences 12, no. 1 (2022): 483. http://dx.doi.org/10.3390/app12010483.

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Light Detection and Ranging (LiDAR), which applies light in the formation of a pulsed laser to estimate the distance between the LiDAR sensor and objects, is an effective remote sensing technology. Many applications use LiDAR including autonomous vehicles, robotics, and virtual and augmented reality (VR/AR). The 3D point cloud classification is now a hot research topic with the evolution of LiDAR technology. This research aims to provide a high performance and compatible real-world data method for 3D point cloud classification. More specifically, we introduce a novel framework for 3D point clo
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Karam, Samer, Francesco Nex, Bhanu Teja Chidura, and Norman Kerle. "Microdrone-Based Indoor Mapping with Graph SLAM." Drones 6, no. 11 (2022): 352. http://dx.doi.org/10.3390/drones6110352.

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Unmanned aerial vehicles offer a safe and fast approach to the production of three-dimensional spatial data on the surrounding space. In this article, we present a low-cost SLAM-based drone for creating exploration maps of building interiors. The focus is on emergency response mapping in inaccessible or potentially dangerous places. For this purpose, we used a quadcopter microdrone equipped with six laser rangefinders (1D scanners) and an optical sensor for mapping and positioning. The employed SLAM is designed to map indoor spaces with planar structures through graph optimization. It performs
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An, Xiaoqi, Lin Zhao, Chen Gong, Jun Li, and Jian Yang. "Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 2 (2025): 1755–63. https://doi.org/10.1609/aaai.v39i2.32169.

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With the rapid development of autonomous driving, LiDAR-based 3D Human Pose Estimation (3D HPE) is becoming a research focus. However, due to the noise and sparsity of LiDAR-captured point clouds, robust human pose estimation remains challenging. Most of the existing methods use temporal information, multi-modal fusion, or SMPL optimization to correct biased results. In this work, we try to obtain sufficient information for 3D HPE only by modeling the intrinsic properties of low-quality point clouds. Hence, a simple yet powerful method is proposed, which provides insights both on modeling and
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Xu, Bin, Yao Ji, Kai Liu, and Jinhua Li. "Piezoelectric MEMS Mirror with Lissajous Scanning for Automobile Adaptive Laser Headlights." Micromachines 13, no. 7 (2022): 996. http://dx.doi.org/10.3390/mi13070996.

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The emergence of smart headlights with reconfigurable light distributions that provide optimal illumination, highlight road objects, and project symbols to communicate with traffic participants further enhances road safety. Integrating all these functions in a single headlight usually suffers from issues of bulky multi-functional add-on modules with high cost or the use of conventional spatial light modulators with low optical efficiency and complex thermal design requirements. This paper presents a novel laser headlight prototype based on biaxially resonant microelectromechanical systems (MEM
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Shinohara, Takayuki, Haoyi Xiu, and Masashi Matsuoka. "FWNet: Semantic Segmentation for Full-Waveform LiDAR Data Using Deep Learning." Sensors 20, no. 12 (2020): 3568. http://dx.doi.org/10.3390/s20123568.

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In the computer vision field, many 3D deep learning models that directly manage 3D point clouds (proposed after PointNet) have been published. Moreover, deep learning-based-techniques have demonstrated state-of-the-art performance for supervised learning tasks on 3D point cloud data, such as classification and segmentation tasks for open datasets in competitions. Furthermore, many researchers have attempted to apply these deep learning-based techniques to 3D point clouds observed by aerial laser scanners (ALSs). However, most of these studies were developed for 3D point clouds without radiomet
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Wróblewski, Adam, Jacek Wodecki, Paweł Trybała, and Radosław Zimroz. "A Method for Large Underground Structures Geometry Evaluation Based on Multivariate Parameterization and Multidimensional Analysis of Point Cloud Data." Energies 15, no. 17 (2022): 6302. http://dx.doi.org/10.3390/en15176302.

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In underground mining, new workings (tunnels) are constructed by blasting or mechanical excavation. The blasting technique used in underground mines is supported by economic aspects, especially for deposits characterized by hard rocks. Unfortunately, the quality of the result may be different than expected in terms of the general geometry of work or the roughness of excavation surfaces. The blasting technique is also a source of vibrations that may affect other existing structures, affecting their stability. Therefore, it is of great importance to monitor both the quality of the new tunnels an
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Tai, Trevor, Siyuan He, and Behrad Ghazinouri. "2D FPCB micromirror for scanning LIDAR." Journal of Micromechanics and Microengineering, October 28, 2022. http://dx.doi.org/10.1088/1361-6439/ac9e62.

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Abstract This paper presents a 2D FPCB (Flexible Printed Circuit Board) micromirror and a scanning 3D LIDAR based on it by integrating the 2D FPCB micromirror with a commercially available single point LIDAR. The 2D FPCB micromirror retains the benefits of previously developed 1D FPCB micromirrors, i.e., large aperture and low cost while providing rotation of the mirror plate about 2 orthogonal axes to be able to scan a laser beam about both vertical and horizontal axes to achieve 2D scanning. One 2D FPCB micromirror is integrated with a single point LIDAR to achieve a 3D scanning LIDAR, which
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Arsene, Corneliu. "Fusion of Real Time Thermal Image and 1D/2D/3D Depth Laser Readings for Remote Thermal Sensing in Industrial Plants by Means of UAVs and/or ROBOTS." arXiv 2006.01286 v3 [cs.RO] (June 20, 2020). https://doi.org/10.5281/zenodo.3902101.

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This paper presents fast procedures for thermal infrared remote sensing in dark, GPS-denied environments, such as those found in industrial plants such as in High-Voltage Direct Current (HVDC) converter stations. These procedures are based on the combination of the depth estimation obtained from either a 1-Dimensional LIDAR laser or a 2-Dimensional Hokuyo laser or a 3D MultiSense SLB laser sensor and the visible and thermal cameras from a FLIR Duo R dual-sensor thermal camera.  The combination of these sensors/cameras is suitable to be mounted on Unmanned Aerial Vehicles (UAVs) and/or rob
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Dissertations / Theses on the topic "1D LIDAR laser"

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Klein, Amélie. "Analyse du profil vertical de l'ozone dans la basse troposphère à Paris." Electronic Thesis or Diss., Sorbonne université, 2018. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2018SORUS192.pdf.

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Les mesures de l'ozone en surface ne sont pas suffisantes pour comprendre les mécanismes de formation de l'ozone dans la partie basse de la troposphère. Au cours de cette thèse, nous avons utilisé les instruments de la station QUALAIR, située à Paris, qui permettent d'obtenir des mesures de profils verticaux d'ozone ainsi que des mesures de dynamique atmosphérique et de colonnes intégrées de NO2 sur les premiers kilomètres de l'atmosphère. Une première approche statistique, à partir de quatre années de mesures consécutives de LIDAR ozone (2011-2014), a permis de comprendre les mécanismes respo
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Conference papers on the topic "1D LIDAR laser"

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Kalagara, Hemashilpa, Benjamin Kesler, Eric R. Hegblom, et al. "High speed characterization of 1D-addressable multi-channel VCSELs with SPAD arrays for automotive LIDAR." In Vertical-Cavity Surface-Emitting Lasers XXVIII, edited by Kent D. Choquette and Chun Lei. SPIE, 2024. http://dx.doi.org/10.1117/12.3015301.

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Kalagara, Hemashilpa, Eric Hegblom, Benjamin Kesler, et al. "1D-addressable multi-channel VCSELs with SPAD arrays for short- to medium-range LIDARs." In Vertical-Cavity Surface-Emitting Lasers XXVII, edited by Chun Lei and Luke A. Graham. SPIE, 2023. http://dx.doi.org/10.1117/12.2668729.

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