arXivDaily arXiv每日学术速递 周一至周五更新

视觉与机器人

自动驾驶

自动驾驶感知、规划、BEV、占用预测、激光雷达和仿真评测。

共收录 3145 信号源:cs.RO, cs.CV, eess.IV, cs.AI

1. 激光雷达 3145 篇

1702.06441 2019-03-13 cs.CV 57%

Comprehensive Data Set for Automatic Single Camera Visual Speed Measurement

Jakub Sochor, Roman Juránek, Jakub Špaňhel, Lukáš Maršík, Adam Široký, Adam Herout, Pavel Zemčík

专题命中 激光雷达 :LiDAR(abstract);分类 cs.CV

Journal ref IEEE Transactions on Intelligent Transportation Systems 2018

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1810.01666 2019-01-29 cs.RO 57%

Geometry Preserving Sampling Method based on Spectral Decomposition for 3D Registration

Mathieu Labussiere, Johann Laconte, François Pomerleau

专题命中 激光雷达 :LiDAR(abstract);分类 cs.RO

Comments 7 pages, 4 figures, 3 tables

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1806.02170 2019-01-08 cs.CV 57%

PointFlowNet: Learning Representations for Rigid Motion Estimation from Point Clouds

Aseem Behl, Despoina Paschalidou, Simon Donné, Andreas Geiger

专题命中 激光雷达 :self-driving(abstract);分类 cs.CV

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1812.11383 2019-01-01 cs.CV 57%

Feature Preserving and Uniformity-controllable Point Cloud Simplification on Graph

Junkun Qi, Wei Hu, Zongming Guo

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

Comments 6 pages

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1812.09084 2018-12-24 cs.RO 57%

Casualty Detection from 3D Point Cloud Data for Autonomous Ground Mobile Rescue Robots

Roni Permana Saputra, Petar Kormushev

专题命中 激光雷达 :LiDAR(abstract);分类 cs.RO

Comments Published in SSRR 2018 Conference

Journal ref R. P. Saputra and P. Kormushev, "Casualty Detection from 3D Point Cloud Data for Autonomous Ground Mobile Rescue Robots," 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), Philadelphia, PA, 2018, pp. 1-7

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1810.04848 2018-11-02 cs.RO 57%

Performance Analysis of NDT-based Graph SLAM for Autonomous Vehicle in Diverse Typical Driving Scenarios of Hong Kong

Weisong Wen, Li-Ta Hsu, Guohao Zhang

专题命中 激光雷达 :LiDAR(abstract);分类 cs.RO

Comments 24 pages, 19 figures

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1804.01495 2018-10-24 cs.CV 57%

Density Adaptive Point Set Registration

Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Per-Erik Forssén, Michael Felsberg

专题命中 激光雷达 :LiDAR(abstract);分类 cs.CV

Comments CVPR 2018 (Oral)

Journal ref The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018

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1707.06719 2018-10-22 cs.CV stat.ML 57%

Generalized Convolutional Neural Networks for Point Cloud Data

Aleksandr Savchenkov, Andrew Davis, Xuan Zhao

专题命中 激光雷达 :LiDAR(abstract);分类 cs.CV

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1809.07677 2018-09-21 cs.CV 57%

Real Time Dense Depth Estimation by Fusing Stereo with Sparse Depth Measurements

Shreyas S. Shivakumar, Kartik Mohta, Bernd Pfrommer, Vijay Kumar, Camillo J. Taylor

专题命中 激光雷达 :LiDAR(abstract);分类 cs.CV

Comments 7 pages, 5 figures, 2 tables

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1809.01318 2018-09-06 cs.CV 57%

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

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1707.08680 2018-07-17 cs.RO 57%

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

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1807.02587 2018-07-10 cs.CV 57%

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

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1805.05876 2018-05-16 math.OC cs.RO 57%

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

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1804.10917 2018-05-01 cs.RO eess.SP 57%

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

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1804.09270 2018-04-26 cs.RO 57%

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

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1804.08859 2018-04-25 cs.CV 57%

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

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1802.06274 2018-02-20 cs.RO 57%

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

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1802.00036 2018-02-02 cs.CV 57%

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

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1602.06920 2018-01-15 cs.CG cs.CV cs.SE 57%

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

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1711.08681 2017-11-27 cs.NE cs.CV 57%

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

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1702.06188 2017-08-04 cs.CV cs.CG 57%

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)

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1706.01307 2017-06-06 cs.NE cs.CV 57%

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

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1705.01217 2017-05-04 cs.CV 57%

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

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1209.1759 2016-12-01 cs.CV 57%

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)

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1610.07324 2016-10-25 cs.CV 57%

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

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1609.07603 2016-09-27 cs.DC cs.RO 57%

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

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1504.07442 2015-04-29 cs.CV 57%

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

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1311.0277 2013-11-04 quant-ph 56%

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

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1310.8457 2013-11-01 quant-ph 56%

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)

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2603.24778 2026-08-18 quant-ph 版本更新 50%

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!

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