自动驾驶

Reconstruction and Registration of Large-Scale Medical Scene Using Point Clouds Data from Different Modalities

Ke Wang, Han Song, Jiahui Zhang, Xinran Zhang, Hongen Liao

专题命中 激光雷达 ：LiDAR(abstract)；分类 cs.CV

Comments 2 pages, 4 figures, submitted to ACCAS

Entropy-Based $Sim(3)$ Calibration of 2D Lidars to Egomotion Sensors

Jacob Lambert, Lee Clement, Matthew Giamou, Jonathan Kelly

专题命中 激光雷达 ：LiDAR(abstract)；分类 cs.RO

Comments In Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI'16), Baden-Baden, Germany, Sep. 19-21, 2016. Best Student Paper Award

Fast and Accurate Point Cloud Registration using Trees of Gaussian Mixtures

Ben Eckart, Kihwan Kim, Jan Kautz

专题命中 激光雷达 ：LiDAR(abstract)；分类 cs.CV

Comments ECCV 2018

Observability Analysis of Aided INS with Heterogeneous Features of Points, Lines and Planes

Yulin Yang, Guoquan Huang

专题命中 激光雷达 ：LiDAR(abstract)；分类 cs.RO

Exclusion of GNSS NLOS Receptions Caused by Dynamic Objects in Heavy Traffic Urban Scenarios Using Real-Time 3D Point Cloud: An Approach without 3D Maps

Weisong Wen, Guohao Zhang, Li-Ta Hsu

专题命中 激光雷达 ：autonomous driving(abstract)；分类 cs.RO

Comments 8 pages, accepted by the IEEE/ION PLANS 2018

Learning 3D Segment Descriptors for Place Recognition

Andrei Cramariuc, Renaud Dubé, Hannes Sommer, Roland Siegwart, Igor Gilitschenski

专题命中 激光雷达 ：LiDAR(abstract)；分类 cs.RO

Comments Presented at IROS 2017 Workshop on Learning for Localization and Mapping

Spatiotemporal Learning of Dynamic Gestures from 3D Point Cloud Data

Joshua Owoyemi, Koichi Hashimoto

专题命中 激光雷达 ：occupancy(abstract)；分类 cs.CV

Comments Accepted to ICRA2018, 6 Pages

Automatic Classification of Roof Shapes for Multicopter Emergency Landing Site Selection

Jeremy D. Castagno, Ella M. Atkins

专题命中 激光雷达 ：LiDAR(abstract)；分类 cs.RO

In Defense of Classical Image Processing: Fast Depth Completion on the CPU

Jason Ku, Ali Harakeh, Steven L. Waslander

专题命中 激光雷达 ：LiDAR(abstract)；分类 cs.CV

Implicit LOD using points ordering for processing and visualisation in Point Cloud Servers

Rémi Cura, Julien Perret, Nicolas Paparoditis

专题命中 激光雷达 ：LiDAR(abstract)；分类 cs.CV

Comments this article is a split of the previous one because the previous article covered two topics to lousily related

Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks

Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre

专题命中 激光雷达 ：LiDAR(abstract)；分类 cs.CV

Comments ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, A Para{î}tre

Forest understory trees can be segmented accurately within sufficiently dense airborne laser scanning point clouds

Hamid Hamraz, Marco A. Contreras, Jun Zhang

专题命中 激光雷达 ：LiDAR(abstract)；分类 cs.CV

Comments arXiv admin note: text overlap with arXiv:1701.00169

Journal ref Scientific Reports, 7(1), 6770 (2017)

Submanifold Sparse Convolutional Networks

Benjamin Graham, Laurens van der Maaten

专题命中 激光雷达 ：LiDAR(abstract)；分类 cs.CV

Comments 10 pages

Marine Animal Classification with Correntropy Loss Based Multi-view Learning

Zheng Cao, Shujian Yu, Bing Ouyang, Fraser Dalgleish, Anni Vuorenkoski, Gabriel Alsenas, Jose Principe

专题命中 激光雷达 ：LiDAR(abstract)；分类 cs.CV

Difference of Normals as a Multi-Scale Operator in Unorganized Point Clouds

Yani Ioannou, Babak Taati, Robin Harrap, Michael Greenspan

专题命中 激光雷达 ：LiDAR(abstract)；分类 cs.CV

Comments To be published in proceedings of 3DIMPVT 2012

Journal ref Proceedings of the 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission (3DIMPVT)

A coarse-to-fine algorithm for registration in 3D street-view cross-source point clouds

Xiaoshui Huang, Jian Zhang, Qiang Wu, Lixin Fan, Chun Yuan

专题命中 激光雷达 ：LiDAR(abstract)；分类 cs.CV

Scalable Estimation of Precision Maps in a MapReduce Framework

Claus Brenner

专题命中 激光雷达 ：LiDAR(abstract)；分类 cs.RO

Comments ACM SIGSPATIAL'16, October 31-November 03, 2016, Burlingame, CA, USA

Embedded Platforms for Computer Vision-based Advanced Driver Assistance Systems: a Survey

Gorka Velez, Oihana Otaegui

专题命中 激光雷达 ：LiDAR(abstract)；分类 cs.CV

Comments 10 pages. To be published in ITS World Congress 2015

An Introduction to Topological Quantum Codes

H. Bombin

专题命中 激光雷达 ：LiDAR(abstract,journal_ref)

Comments 35 pages, 22 figures, (c) Cambridge University Press

Journal ref "Topological Codes", in "Quantum Error Correction", edited by Daniel A. Lidar and Todd A. Brun, Cambridge University Press, New York, 2013

Critique of Fault-Tolerant Quantum Information Processing

Robert Alicki

专题命中 激光雷达 ：LiDAR(abstract,comments)

Comments 11 pages, no figures, published in "Quantum Error Correction", ed. D. A. Lidar and T. A. Brun, Cambridge University Press (2013)(http://www.cambridge.org/us/academic/subjects/physics/quantum-physics-quantum-information-and-quantum-computation/quantum-error-correction)

Praxist: From Experimental Artifacts to Solution Lineages

Praxist：从实验产物到解决方案谱系

Jin Li, Ahmed Murtadha, Zhiyu Wang, Qiwen Chen, William Chen, Yifei Wu, Guan Wang, Andy L. Siy, Jiayi Yang, Mengsha Huang, Wenhao Li, Yixuan Liu, Shuailin Pan, Mingli Yuan, Sen Song, Yuhao Sun

专题命中 激光雷达 ：LiDAR(abstract)

AI总结 Praxist是一种以谱系为中心的代际系统，可将可复现产物与评估结果转换为证据图，在MLE-bench测试中成本仅为Claude Code基线的约十二分之一，同时在多类工程问题上实现性能提升。

Smooth digital terrain modelling in irregular domain using finite element thin plate splines and adaptive refinement

Lishan Fang

专题命中 激光雷达 ：LiDAR(abstract)

Journal ref AIMS Math. 9 (2024) 30015-30042

A quantum mechanical analysis of the coherence de Broglie wavelength for superresolution and enhanced sensitivity in a coupled interferometer scheme

关于超分辨率和灵敏度增强的耦合干涉仪方案中的德布罗意相干波长量子力学分析

B. S. Ham

专题命中 激光雷达 ：LiDAR(abstract)

AI总结 本文提出了一种基于反称耦合马赫-曾德干涉仪的量子力学分析，用于实现无损耗传感的超分辨率和增强灵敏度。

Comments 8 pages, 2 figures

Resource-optimal quantum mode parameter estimation with multimode Gaussian states

基于多模Gaussian态的资源最优量子模参数估计

Maximilian Reichert, Mikel Sanz, Nicolas Fabre

专题命中 激光雷达 ：LiDAR(abstract)

AI总结 本文提出通过多模Gaussian态实现量子模参数估计的资源最优方案，统一了粒子数和模结构视角，推导了量子 Fisher 信息的紧上界并确定了最优Gaussian态。

Comments Comments are welcome!

Harnessing thermo-optic dynamics for frequency-agile soliton microcombs

利用热光动力学实现频率捷变的孤子微梳

Yang Liu, Suwan Sun, Yueguang Zhou, Yanjing Zhao, Chaochao Ye, Xinda Lu, Yi Zheng, Leif Kastuo Oxenløwe, Kresten Yvind, Hairun Guo, Minhao Pu

专题命中 激光雷达 ：LiDAR(abstract)

AI总结 该研究通过强模式耦合重塑孤子形成的有效失谐轨迹，将热光效应从限制因素转为主动资源，在AlGaAs多模微谐振器中实现了32 mW泵浦下近100 GHz调谐范围的稳定孤子微梳，支持无需辅助稳定的频率捷变运行。

Comments 12 pages, 5 figures

Hybrid BaTiO3/TiO2 Metasurface for Efficient Gigahertz-Speed Free-Space Electro-Optic Modulation

用于高效千兆赫兹速自由空间电光调制的混合BaTiO3/TiO2超表面

Zhongpeng Sun, Kerolos M. A. Yousef, Michael Domm, Agham Posadas, Xudong Li, Marcus Ossiander, Maryna L. Meretska, Yiwei Ju, Isabel Barth, Jason Tischler, Theodore P. Letsou, Moaz Waqar, Amirhassan Shams-Ansari, Xiaoqing Pan, Alexander A. Demkov, Federico Capasso

专题命中 激光雷达 ：LiDAR(abstract)

AI总结 该研究开发混合BaTiO3/TiO2超表面，结合可扩展薄膜生长与纳米加工技术，实现高效千兆赫兹速自由空间电光调制，为激光雷达等领域提供高性能调制器的可扩展方案。

Comments 21 pages, 4 figures, 1 table. Supplementary Information: 27 pages, 11 figures, 7 supplementary notes

Low Photon Number Non-Invasive Imaging Through Time-Varying Diffusers

低光子数非侵入式成像通过时间变化扩散器

Adrian Makowski, Wojciech Zwolinski, Pawel Szczypkowski, Bernard Gorzkowski, Sylvain Gigan, Radek Lapkiewicz

专题命中 激光雷达 ：LiDAR(abstract)

AI总结 本研究提出了一种非侵入式成像方法，通过时间变化的散射层实现低光子数下的稳健图像重建，适用于显微镜、激光雷达和内窥镜等多种应用。

Comments 18 pages, 5 figures; 42 pages of Supplementary Information with 10 figures included

Ultranarrow-linewidth self-injection-locked tunable blue GaN DFB laser

超窄线宽自注入锁定可调谐蓝光氮化镓分布反馈激光器

Georges Perin, Laurent Lablonde, Marco Rossetti, Marco Malinverni, Antonino Castliglia, Marcus Duelk, Stéphane Trebaol

专题命中 激光雷达 ：LiDAR(abstract)

AI总结 研究展示了452nm超窄线宽自注入锁定DFB二极管激光器，通过与基于FBG的外腔耦合降低线宽，实验与理论吻合，还表征了调谐能力，其架构利于集成，可为集成光学原子钟和水下激光雷达提供关键的紧凑稳定且可调的可见光光源。

Numerical Investigation of a 3D End-Firing Antenna Array Based on Two-Photon Polymerization on Thin-Film Lithium Niobate for Optical Beam Steering

基于双光子聚合在薄膜铌酸锂上的三维端射天线阵列用于光束转向的数值研究

David Trop, Boris Desiatov

专题命中 激光雷达 ：LiDAR(abstract)

AI总结 研究基于双光子聚合在薄膜铌酸锂上设计三维端射天线阵列用于光束转向，解决传统OPA设计权衡问题。通过提升聚合物天线实现二维光束转向并保持宽带优势，模拟展示高效传输及特定视场与波束宽度，为3D光子相控阵奠定基础。

Twist Engineering for Reconfigurable Optical and Optoelectronic Devices

用于可重构光学和光电器件的扭转工程

Gang Huang, Annan Helian, Mengting Jiang, Chi Wang, Yu Xing, Mayank Joshi, Jae Yeong Lee, Jiang Wang, Syed M Assad, Ping Koy Lam, Qiushi Liu, Lin Wu, Young-Wook Cho, Yuan Ma, Xuezhi Ma

专题命中 激光雷达 ：LiDAR(abstract)

AI总结 研究可重构光学和光电器件的扭转工程，回顾扭转角计量学现状及表征方法，探讨扭转角控制技术路线，包括多种方法的能力、局限与前景，还讨论其未来从单个结构制造向动态可重构系统发展及相关代表性技术与应用。