自动驾驶 - arXivDaily 专题

1910.11917 2019-10-29 cs.RO 57%

Model Free Calibration of Wheeled Robots Using Gaussian Process

Mohan Krishna Nutalapati, Lavish Arora, Anway Bose, Ketan Rajawat, Rajesh M Hegde

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO

Comments To be published in International Conference on Intelligent Robots and Systems (IROS), 2019

1910.11309 2019-10-25 eess.SY cs.RO cs.SY 57%

Case Study: Verifying the Safety of an Autonomous Racing Car with a Neural Network Controller

Radoslav Ivanov, Taylor J. Carpenter, James Weimer, Rajeev Alur, George J. Pappas, Insup Lee

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO

1909.10431 2019-09-24 cs.CV 57%

Go Wider: An Efficient Neural Network for Point Cloud Analysis via Group Convolutions

Can Chen, Luca Zanotti Fragonara, Antonios Tsourdos

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

1906.08476 2019-09-20 cs.CV 57%

PointNLM: Point Nonlocal-Means for vegetation segmentation based on middle echo point clouds

Jonathan Li, Rongren Wu, Yiping Chen, Qing Zhu, Zhipeng Luo, Cheng Wang

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments There are some syntax errors that need to be fixed

1908.09186 2019-08-27 cs.CV 57%

Efficient Learning on Point Clouds with Basis Point Sets

Sergey Prokudin, Christoph Lassner, Javier Romero

专题命中激光雷达：occupancy(abstract)；分类 cs.CV

Comments ICCV 2019

1907.13079 2019-07-31 cs.CV 57%

Deformable Filter Convolution for Point Cloud Reasoning

Yuwen Xiong, Mengye Ren, Renjie Liao, Kelvin Wong, Raquel Urtasun

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

1907.09133 2019-07-23 cs.RO cs.LG 57%

Speeding Up Iterative Closest Point Using Stochastic Gradient Descent

Fahira Afzal Maken, Fabio Ramos, Lionel Ott

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

Comments 7 Pages, 4 Figures, Submitted to ICRA

1806.01411 2019-07-23 cs.CV cs.LG 57%

FlowNet3D: Learning Scene Flow in 3D Point Clouds

Xingyu Liu, Charles R. Qi, Leonidas J. Guibas

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments CVPR 2019. Source code available at http://github.com/xingyul/flownet3d

1809.07016 2019-07-15 cs.CR cs.CV cs.LG 57%

Generating 3D Adversarial Point Clouds

Chong Xiang, Charles R. Qi, Bo Li

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

Comments CVPR 2019

1907.04404 2019-07-11 cs.CV 57%

A New Stereo Benchmarking Dataset for Satellite Images

Sonali Patil, Bharath Comandur, Tanmay Prakash, Avinash C. Kak

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

1906.05888 2019-06-17 cs.CV 57%

Can generalised relative pose estimation solve sparse 3D registration?

Siddhant Ranade, Xin Yu, Shantnu Kakkar, Pedro Miraldo, Srikumar Ramalingam

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

1906.03289 2019-06-17 cs.RO 57%

Visual-Inertial Odometry of Aerial Robots

Davide Scaramuzza, Zichao Zhang

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO

Comments Accepted in the Encyclopedia of Robotics, Springer

1901.08396 2019-06-04 cs.LG cs.CV stat.ML 57%

Self-Supervised Deep Learning on Point Clouds by Reconstructing Space

Jonathan Sauder, Bjarne Sievers

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

1901.10034 2019-04-18 cs.CV 57%

Dense Depth Posterior (DDP) from Single Image and Sparse Range

Yanchao Yang, Alex Wong, Stefano Soatto

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

1904.06064 2019-04-15 cs.RO stat.ML 57%

AI-IMU Dead-Reckoning

Martin Brossard, Axel Barrau, Silvère Bonnabel

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO

1904.00229 2019-04-02 cs.CV 57%

USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds

Jiaxin Li, Gim Hee Lee

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments 19 pages

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

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

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

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

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

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

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

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

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

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

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

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

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

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

1. 激光雷达 3162 篇

Model Free Calibration of Wheeled Robots Using Gaussian Process

Case Study: Verifying the Safety of an Autonomous Racing Car with a Neural Network Controller

Go Wider: An Efficient Neural Network for Point Cloud Analysis via Group Convolutions

PointNLM: Point Nonlocal-Means for vegetation segmentation based on middle echo point clouds

Efficient Learning on Point Clouds with Basis Point Sets

Deformable Filter Convolution for Point Cloud Reasoning

Speeding Up Iterative Closest Point Using Stochastic Gradient Descent

FlowNet3D: Learning Scene Flow in 3D Point Clouds

Generating 3D Adversarial Point Clouds

A New Stereo Benchmarking Dataset for Satellite Images

Can generalised relative pose estimation solve sparse 3D registration?

Visual-Inertial Odometry of Aerial Robots

Self-Supervised Deep Learning on Point Clouds by Reconstructing Space

Dense Depth Posterior (DDP) from Single Image and Sparse Range

AI-IMU Dead-Reckoning

USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds

Comprehensive Data Set for Automatic Single Camera Visual Speed Measurement

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

PointFlowNet: Learning Representations for Rigid Motion Estimation from Point Clouds

Feature Preserving and Uniformity-controllable Point Cloud Simplification on Graph

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

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

Density Adaptive Point Set Registration

Generalized Convolutional Neural Networks for Point Cloud Data

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

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

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

Fast and Accurate Point Cloud Registration using Trees of Gaussian Mixtures

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

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