自动驾驶 - arXivDaily 专题

2008.10309 2020-08-25 cs.CV cs.AI 62%

LC-NAS: Latency Constrained Neural Architecture Search for Point Cloud Networks

Guohao Li, Mengmeng Xu, Silvio Giancola, Ali Thabet, Bernard Ghanem

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

Comments Originally submitted to ECCV'2020 but rejected. This work was filed with the United States Patent and Trademark Office (USPTO) on May 19, 2020 and assigned Serial No. 63/027,241

2007.11770 2020-07-24 cs.CV eess.IV 62%

Illumination invariant hyperspectral image unmixing based on a digital surface model

Tatsumi Uezato, Naoto Yokoya, Wei He

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、eess.IV

2007.08616 2020-07-20 cs.LG cs.AI cs.RO stat.ML 62%

Collision Avoidance Robotics Via Meta-Learning (CARML)

Abhiram Iyer, Aravind Mahadevan

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO、cs.AI

2007.02578 2020-07-07 cs.CV cs.GR eess.IV 62%

Learning Graph-Convolutional Representations for Point Cloud Denoising

Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、eess.IV

Comments European Conference on Computer Vision (ECCV) 2020

2006.09043 2020-06-25 cs.CV cs.LG eess.IV eess.SP stat.ML 62%

Improved Deep Point Cloud Geometry Compression

Maurice Quach, Giuseppe Valenzise, Frederic Dufaux

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

Comments Code is available at https://github.com/mauriceqch/pcc_geo_cnn_v2

2005.10745 2020-06-23 cs.CV cs.LG eess.IV 62%

A Nearest Neighbor Network to Extract Digital Terrain Models from 3D Point Clouds

Mohammed Yousefhussien, David J. Kelbe, Carl Salvaggio

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、eess.IV

Comments Preprint submitted to Science of Remote Sensing

2005.09223 2020-05-20 cs.CV cs.LG eess.IV 62%

Deep Learning Guided Building Reconstruction from Satellite Imagery-derived Point Clouds

Bo Xu, Xu Zhang, Zhixin Li, Matt Leotta, Shih-Fu Chang, Jie Shan

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、eess.IV

1903.08548 2020-02-19 cs.CV cs.LG eess.IV stat.ML 62%

Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression

Maurice Quach, Giuseppe Valenzise, Frederic Dufaux

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

Comments Published in ICIP 2019. The source code can be found at https://github.com/mauriceqch/pcc_geo_cnn and the supplementary material can be found at https://www.mauricequach.com/pcc_geo_cnn_samples

1912.05013 2019-12-13 cs.CV cs.RO 62%

Line-based Camera Pose Estimation in Point Cloud of Structured Environments

Huai Yu, Weikun Zhen, Wen Yang, Sebastian Scherer

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO、cs.CV

Comments 8 pages, Work has been submitted to ICRA 2020

1912.05016 2019-12-12 cs.CV cs.RO 62%

Robust Feature-Based Point Registration Using Directional Mixture Model

Saman Fahandezh-Saadi, Di Wang, Masayoshi Tomizuka

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO、cs.CV

1912.04976 2019-12-12 cs.RO cs.CV 62%

Learning to Optimally Segment Point Clouds

Peiyun Hu, David Held, Deva Ramanan

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO、cs.CV

1910.14377 2019-11-01 eess.IV cs.CV 62%

Image-Guided Depth Upsampling via Hessian and TV Priors

Alireza Ahrabian, Joao F. C. Mota, Andrew M. Wallace

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、eess.IV

1905.07475 2019-10-08 cs.CV eess.IV 62%

Automated 3D recovery from very high resolution multi-view satellite images

Rongjun Qin

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、eess.IV

1808.00671 2019-09-30 cs.CV cs.RO 62%

PCN: Point Completion Network

Wentao Yuan, Tejas Khot, David Held, Christoph Mertz, Martial Hebert

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO、cs.CV

Comments 3DV 2018 oral. Honorable mention for Best Paper award

1904.13270 2019-08-15 eess.IV cs.CV cs.LG 62%

Country-wide high-resolution vegetation height mapping with Sentinel-2

Nico Lang, Konrad Schindler, Jan Dirk Wegner

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、eess.IV

Journal ref Remote Sensing of Environment 233 (2019) 111347

1908.01642 2019-08-06 eess.IV cs.CV cs.LG stat.ML 62%

Review of Algorithms for Compressive Sensing of Images

Yoni Sher

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、eess.IV

Comments 14 pages, 8 figures, all data available in appendix

1803.08181 2019-08-06 cs.RO cs.CV 62%

CalibNet: Geometrically Supervised Extrinsic Calibration using 3D Spatial Transformer Networks

Ganesh Iyer, R. Karnik Ram., J. Krishna Murthy, K. Madhava Krishna

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO、cs.CV

Comments Appeared in the proccedings of the IEEE International Conference on Intelligent Robots and Systems (IROS) 2018

1803.03719 2019-08-05 cs.RO cs.AI cs.LG stat.ML 62%

DeepMoTIon: Learning to Navigate Like Humans

Mahmoud Hamandi, Mike D'Arcy, Pooyan Fazli

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO、cs.AI

Comments 7 pages, In Proceedings of the IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2019

1906.06600 2019-06-18 cs.GR cs.CV eess.IV 62%

A Statistical View on Synthetic Aperture Imaging for Occlusion Removal

Indrajit Kurmi, David C. Schedl, Oliver Bimber

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、eess.IV

Comments 10 pages, 11 figures, IEEE Sensors Jounral (accepted)

1905.07476 2019-05-21 cs.CV eess.IV 62%

Analysis of critical parameters of satellite stereo image for 3D reconstruction and mapping

Rongjun Qin

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、eess.IV

1905.03691 2019-05-10 cs.CV cs.MM eess.IV 62%

Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds

Wei Yan, Yiting shao, Shan Liu, Thomas H Li, Zhu Li, Ge Li

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

1903.08347 2019-04-30 cs.CV eess.IV 62%

Photon-Flooded Single-Photon 3D Cameras

Anant Gupta, Atul Ingle, Andreas Velten, Mohit Gupta

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、eess.IV

1902.10190 2019-04-25 eess.IV cs.CV physics.ins-det 62%

High Flux Passive Imaging with Single-Photon Sensors

Atul Ingle, Andreas Velten, Mohit Gupta

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、eess.IV

Comments 28 pages, 15 figures, addressed reviewers's comments, fixed some errors and typos, official peer reviewed version to appear in IEEE CVPR 2019

1806.07635 2018-06-22 cs.CV cs.AI 62%

Dynamic Risk Assessment for Vehicles of Higher Automation Levels by Deep Learning

Patrik Feth, Mohammed Naveed Akram, René Schuster, Oliver Wasenmüller

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、cs.AI

Journal ref International Workshop on Artificial Intelligence Safety Engineering (WAISE) 2018

1804.05905 2018-04-18 cs.RO cs.CV 62%

Tree Morphology for Phenotyping from Semantics-Based Mapping in Orchard Environments

Wenbo Dong, Volkan Isler

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO、cs.CV

Comments 10 pages, 13 figures

1711.05864 2017-11-17 cs.CV cs.RO 62%

Hidden Markov Random Field Iterative Closest Point

John Stechschulte, Christoffer Heckman

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO、cs.CV

1709.05945 2017-09-19 cs.CV cs.RO 62%

A General Framework for Flexible Multi-Cue Photometric Point Cloud Registration

Bartolomeo Della Corte, Igor Bogoslavskyi, Cyrill Stachniss, Giorgio Grisetti

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO、cs.CV

Comments 8 pages

1706.08775 2017-06-28 cs.CV cs.RO 62%

Topometric Localization with Deep Learning

Gabriel L. Oliveira, Noha Radwan, Wolfram Burgard, Thomas Brox

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO、cs.CV

Comments 16 pages, 7 figures, ISRR 2017 submission

2109.11775 2022-09-12 cs.CV 61%

Quantifying point cloud realism through adversarially learned latent representations

Larissa T. Triess, David Peter, Stefan A. Baur, J. Marius Zöllner

专题命中激光雷达：LiDAR(abstract,comments)；分类 cs.CV

Comments 2021 German Conference on Pattern Recognition (GCPR). Project Page: http://ltriess.github.io/lidar-metric

Journal ref 2021 German Conference on Pattern Recognition (GCPR)

2608.11263 2026-08-13 cs.CV 新提交 57%

GeoUniPR: A Geometry-Consistent Unified Framework for Cross-Modal Place Recognition

GeoUniPR：用于跨模态地点识别的几何一致性统一框架

Wonbong Kim, Jiatong Xiao, Rui Li, Xufei Wang, Qiwen Gu, Junqiao Zhao, Chen Ye, Guang Chen

机构 * School of Computer Science and Technology, Tongji University（同济大学计算机科学与技术学院）； Shanghai Research Institute for Intelligent Autonomous System, Tongji University（同济大学上海智能自主系统研究院）； Shanghai Innovation Institute（上海创新研究院）

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

AI总结本研究提出GeoUniPR框架，通过构建几何一致性深度图像视图并引入SC-InfoNCE损失，在无需复杂对齐模块的情况下，实现了跨模态地点识别的最优性能与良好泛化能力。

Comments 17 pages, 10 figures

1. 激光雷达 3145 篇

LC-NAS: Latency Constrained Neural Architecture Search for Point Cloud Networks

Illumination invariant hyperspectral image unmixing based on a digital surface model

Collision Avoidance Robotics Via Meta-Learning (CARML)

Learning Graph-Convolutional Representations for Point Cloud Denoising

Improved Deep Point Cloud Geometry Compression

A Nearest Neighbor Network to Extract Digital Terrain Models from 3D Point Clouds

Deep Learning Guided Building Reconstruction from Satellite Imagery-derived Point Clouds

Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression

Line-based Camera Pose Estimation in Point Cloud of Structured Environments

Robust Feature-Based Point Registration Using Directional Mixture Model

Learning to Optimally Segment Point Clouds

Image-Guided Depth Upsampling via Hessian and TV Priors

Automated 3D recovery from very high resolution multi-view satellite images

PCN: Point Completion Network

Country-wide high-resolution vegetation height mapping with Sentinel-2

Review of Algorithms for Compressive Sensing of Images

CalibNet: Geometrically Supervised Extrinsic Calibration using 3D Spatial Transformer Networks

DeepMoTIon: Learning to Navigate Like Humans

A Statistical View on Synthetic Aperture Imaging for Occlusion Removal

Analysis of critical parameters of satellite stereo image for 3D reconstruction and mapping

Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds

Photon-Flooded Single-Photon 3D Cameras

High Flux Passive Imaging with Single-Photon Sensors

Dynamic Risk Assessment for Vehicles of Higher Automation Levels by Deep Learning

Tree Morphology for Phenotyping from Semantics-Based Mapping in Orchard Environments

Hidden Markov Random Field Iterative Closest Point

A General Framework for Flexible Multi-Cue Photometric Point Cloud Registration

Topometric Localization with Deep Learning

Quantifying point cloud realism through adversarially learned latent representations

GeoUniPR: A Geometry-Consistent Unified Framework for Cross-Modal Place Recognition