3D 视觉 - arXivDaily 专题

2012.05740 2020-12-11 cs.CV cs.AI cs.RO 62%

R-AGNO-RPN: A LIDAR-Camera Region Deep Network for Resolution-Agnostic Detection

Ruddy Théodose, Dieumet Denis, Thierry Chateau, Vincent Frémont, Paul Checchin

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.RO

1903.10297 2020-11-26 cs.CV cs.GR 62%

AdaCoSeg: Adaptive Shape Co-Segmentation with Group Consistency Loss

Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas Guibas, Hao Zhang

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.GR

Comments CVPR 2020

2011.09116 2020-11-19 cs.RO cs.CV 62%

More Informed Random Sample Consensus

Guoxiang Zhang, YangQuan Chen

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.RO

2011.07008 2020-11-18 cs.RO cs.CV 62%

Relative Drone-Ground Vehicle Localization using LiDAR and Fisheye Cameras through Direct and Indirect Observations

Jan Hausberg, Ryoichi Ishikawa, Menandro Roxas, Takeshi Oishi

专题命中点云：3D reconstruction(abstract)；分类 cs.CV、cs.RO

2010.10695 2020-11-12 cs.RO cs.CV 62%

GDN: A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection

Kuang-Yu Jeng, Yueh-Cheng Liu, Zhe Yu Liu, Jen-Wei Wang, Ya-Liang Chang, Hung-Ting Su, Winston H. Hsu

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.RO

Comments Accepted to CoRL 2020

2003.08376 2020-11-10 cs.CV cs.AI cs.LG cs.MA cs.RO 62%

Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting

Xinshuo Weng, Jianren Wang, Sergey Levine, Kris Kitani, Nicholas Rhinehart

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.RO

Comments Published in Conference on Robot Learning (CoRL), 2020. Project webpage: http://www.xinshuoweng.com/projects/SPF2/

2002.04487 2020-11-09 cs.CV cs.RO 62%

Self-Supervised Object-in-Gripper Segmentation from Robotic Motions

Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel

专题命中点云：3D reconstruction(abstract)；分类 cs.CV、cs.RO

Comments 15 pages, 11 figures. Video: https://www.youtube.com/watch?v=srEwuuIIgzI

1912.12147 2020-11-02 cs.CV cs.LG cs.MA cs.RO stat.ML 62%

Cooperative Perception for 3D Object Detection in Driving Scenarios using Infrastructure Sensors

Eduardo Arnold, Mehrdad Dianati, Robert de Temple, Saber Fallah

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.RO

Comments 13 pages, 4 tables, 7 figures. Published in IEEE Transactions on Intelligent Transportation Systems

2010.11702 2020-10-23 cs.CV cs.RO 62%

MLOD: Awareness of Extrinsic Perturbation in Multi-LiDAR 3D Object Detection for Autonomous Driving

Jianhao Jiao, Peng Yun, Lei Tai, Ming Liu

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.RO

Comments 8 pages, 6 figures

Journal ref IROS 2020

2006.04115 2020-10-23 cs.CV cs.GR cs.LG 62%

DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling

Moshe Eliasof, Eran Treister

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.GR

2003.08744 2020-10-23 cs.CV cs.AI cs.RO 62%

PLOP: Probabilistic poLynomial Objects trajectory Planning for autonomous driving

Thibault Buhet, Emilie Wirbel, Andrei Bursuc, Xavier Perrotton

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.RO

Comments Accepted at CorRL 2020 (matching camera-ready version)

2010.04837 2020-10-14 cs.CV cs.AI cs.RO eess.SP 62%

CurbScan: Curb Detection and Tracking Using Multi-Sensor Fusion

Iljoo Baek, Tzu-Chieh Tai, Manoj Bhat, Karun Ellango, Tarang Shah, Kamal Fuseini, Ragunathan, Rajkumar

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.RO

Comments Accepted to IEEE ITSC-2020 conference

2010.04979 2020-10-13 cs.RO cs.CV 62%

A Termination Criterion for Probabilistic PointClouds Registration

Simone Fontana, Domenico G. Sorrenti

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.RO

2010.02516 2020-10-13 cs.CV cs.RO 62%

Mapping of Sparse 3D Data using Alternating Projection

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

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.RO

Comments ACCV2020 oral. This article supersedes arXiv:1906.05888

2007.08854 2020-09-23 cs.CV cs.AI cs.RO eess.IV 62%

DVI: Depth Guided Video Inpainting for Autonomous Driving

Miao Liao, Feixiang Lu, Dingfu Zhou, Sibo Zhang, Wei Li, Ruigang Yang

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.RO

2009.03298 2020-09-08 cs.CV cs.GR cs.LG 62%

Improved Modeling of 3D Shapes with Multi-view Depth Maps

Kamal Gupta, Susmija Jabbireddy, Ketul Shah, Abhinav Shrivastava, Matthias Zwicker

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.GR

2008.01179 2020-09-01 cs.CV cs.LG cs.RO 62%

PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving

Kuan-Hui Lee, Matthew Kliemann, Adrien Gaidon, Jie Li, Chao Fang, Sudeep Pillai, Wolfram Burgard

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.RO

Comments Accepted by IROS 2020

2008.08136 2020-08-20 cs.CV cs.LG cs.RO 62%

DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR

Rishav, Ramy Battrawy, René Schuster, Oliver Wasenmüller, Didier Stricker

专题命中点云：3D reconstruction(abstract)；分类 cs.CV、cs.RO

Comments This paper is accepted to IROS2020

2008.08063 2020-08-19 cs.CV cs.MA cs.RO 62%

AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics

Xinshuo Weng, Jianren Wang, David Held, Kris Kitani

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.RO

Comments Extended abstract that will be presented at ECCV 2020 Workshops. Project website: http://www.xinshuoweng.com/projects/AB3DMOT

2006.12015 2020-08-19 cs.CV cs.LG cs.RO 62%

Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles

Hujie Pan, Zining Wang, Wei Zhan, Masayoshi Tomizuka

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.RO

Comments ITSC2020

2006.05518 2020-08-19 cs.CV cs.RO 62%

MVLidarNet: Real-Time Multi-Class Scene Understanding for Autonomous Driving Using Multiple Views

Ke Chen, Ryan Oldja, Nikolai Smolyanskiy, Stan Birchfield, Alexander Popov, David Wehr, Ibrahim Eden, Joachim Pehserl

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.RO

Comments IROS 2020 conference (submitted March 1st, 2020). For accompanying video, see https://youtu.be/2ck5_sToayc

2003.10670 2020-08-14 cs.CV cs.RO 62%

Real-time 3D object proposal generation and classification under limited processing resources

Xuesong Li, Jose Guivant, Subhan Khan

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.RO

Journal ref Robotics and Autonomous Systems, 130 (2020) 103557

2008.03694 2020-08-11 cs.CV cs.LG cs.RO 62%

LiDAR Data Enrichment Using Deep Learning Based on High-Resolution Image: An Approach to Achieve High-Performance LiDAR SLAM Using Low-cost LiDAR

Jiang Yue, Weisong Wen, Jing Han, Li-Ta Hsu

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.RO

2008.03669 2020-08-11 cs.GR cs.CV 62%

Accelerating Evolutionary Construction Tree Extraction via Graph Partitioning

Markus Friedrich, Sebastian Feld, Thomy Phan, Pierre-Alain Fayolle

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.GR

Comments The 26th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2016 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic May 28 - June 1 2018, p. 29-37

2008.00456 2020-08-04 cs.RO cs.CV cs.LG 62%

Hindsight for Foresight: Unsupervised Structured Dynamics Models from Physical Interaction

Iman Nematollahi, Oier Mees, Lukas Hermann, Wolfram Burgard

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.RO

Comments Accepted at the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

2003.03644 2020-08-04 cs.CV cs.LG cs.RO 62%

Inferring Spatial Uncertainty in Object Detection

Zining Wang, Di Feng, Yiyang Zhou, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka, Wei Zhan

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.RO

1910.03126 2020-07-30 cs.RO cs.CV 62%

Improvements to Target-Based 3D LiDAR to Camera Calibration

Jiunn-Kai Huang, Jessy W. Grizzle

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.RO

Journal ref IEEE Access, vol. 8, 2020, pp. 134101-134110

2007.10323 2020-07-28 cs.CV cs.LG cs.RO 62%

Pillar-based Object Detection for Autonomous Driving

Yue Wang, Alireza Fathi, Abhijit Kundu, David Ross, Caroline Pantofaru, Thomas Funkhouser, Justin Solomon

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.RO

Comments Accepted to ECCV2020

2007.12065 2020-07-24 cs.CV cs.RO 62%

Polylidar3D -- Fast Polygon Extraction from 3D Data

Jeremy Castagno, Ella Atkins

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.RO

Comments 40 pages

2002.08397 2020-07-23 cs.CV cs.RO 62%

JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset

Abhijeet Shenoi, Mihir Patel, JunYoung Gwak, Patrick Goebel, Amir Sadeghian, Hamid Rezatofighi, Roberto Martín-Martín, Silvio Savarese

专题命中点云：point cloud(abstract)；分类 cs.CV、cs.RO

Comments 8 pages, 5 figures, 2 tables; Accepted at IROS 2020

1. 点云 7719 篇

R-AGNO-RPN: A LIDAR-Camera Region Deep Network for Resolution-Agnostic Detection

AdaCoSeg: Adaptive Shape Co-Segmentation with Group Consistency Loss

More Informed Random Sample Consensus

Relative Drone-Ground Vehicle Localization using LiDAR and Fisheye Cameras through Direct and Indirect Observations

GDN: A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection

Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting

Self-Supervised Object-in-Gripper Segmentation from Robotic Motions

Cooperative Perception for 3D Object Detection in Driving Scenarios using Infrastructure Sensors

MLOD: Awareness of Extrinsic Perturbation in Multi-LiDAR 3D Object Detection for Autonomous Driving

DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling

PLOP: Probabilistic poLynomial Objects trajectory Planning for autonomous driving

CurbScan: Curb Detection and Tracking Using Multi-Sensor Fusion

A Termination Criterion for Probabilistic PointClouds Registration

Mapping of Sparse 3D Data using Alternating Projection

DVI: Depth Guided Video Inpainting for Autonomous Driving

Improved Modeling of 3D Shapes with Multi-view Depth Maps

PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving

DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR

AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics

Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles

MVLidarNet: Real-Time Multi-Class Scene Understanding for Autonomous Driving Using Multiple Views

Real-time 3D object proposal generation and classification under limited processing resources

LiDAR Data Enrichment Using Deep Learning Based on High-Resolution Image: An Approach to Achieve High-Performance LiDAR SLAM Using Low-cost LiDAR

Accelerating Evolutionary Construction Tree Extraction via Graph Partitioning

Hindsight for Foresight: Unsupervised Structured Dynamics Models from Physical Interaction

Inferring Spatial Uncertainty in Object Detection

Improvements to Target-Based 3D LiDAR to Camera Calibration

Pillar-based Object Detection for Autonomous Driving

Polylidar3D -- Fast Polygon Extraction from 3D Data

JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset