自动驾驶 - arXivDaily 专题

2304.12390 2023-04-26 cs.CV cs.GR 57%

Pointersect: Neural Rendering with Cloud-Ray Intersection

Jen-Hao Rick Chang, Wei-Yu Chen, Anurag Ranjan, Kwang Moo Yi, Oncel Tuzel

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments CVPR 2023

2304.01074 2023-04-04 cs.RO 57%

FinderNet: A Data Augmentation Free Canonicalization aided Loop Detection and Closure technique for Point clouds in 6-DOF separation

Sudarshan S Harithas, Gurkirat Singh, Aneesh Chavan, Sarthak Sharma, Suraj Patni, Chetan Arora, K. Madhava Krishna

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO

2303.02454 2023-04-04 cs.CV 57%

Exploiting Implicit Rigidity Constraints via Weight-Sharing Aggregation for Scene Flow Estimation from Point Clouds

Yun Wang, Cheng Chi, Xin Yang

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

2112.11121 2023-04-04 cs.CV cs.GR 57%

GlobalMatch: Registration of Forest Terrestrial Point Clouds by Global Matching of Relative Stem Positions

Xufei Wang, Zexin Yang, Xiaojun Cheng, Jantien Stoter, Wenbing Xu, Zhenlun Wu, Liangliang Nan

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Journal ref ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 197, 71-86, 2023

2303.17948 2023-04-03 cs.CV 57%

CIMI4D: A Large Multimodal Climbing Motion Dataset under Human-scene Interactions

Ming Yan, Xin Wang, Yudi Dai, Siqi Shen, Chenglu Wen, Lan Xu, Yuexin Ma, Cheng Wang

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments CVPR 2023

2211.10598 2023-03-31 cs.CV 57%

LidarGait: Benchmarking 3D Gait Recognition with Point Clouds

Chuanfu Shen, Chao Fan, Wei Wu, Rui Wang, George Q. Huang, Shiqi Yu

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments 15 pages, 15 figures, 4 tables

Journal ref published on CVPR2023

2303.16235 2023-03-30 cs.CV 57%

Spatiotemporal Self-supervised Learning for Point Clouds in the Wild

Yanhao Wu, Tong Zhang, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments CVPR accepted

2303.15126 2023-03-28 cs.CV 57%

NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation

Zehan Zheng, Danni Wu, Ruisi Lu, Fan Lu, Guang Chen, Changjun Jiang

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

Comments Accepted by CVPR 2023. Project Page: https://dyfcalid.github.io/NeuralPCI

2112.05301 2023-03-28 cs.CV 57%

Self-Ensemling for 3D Point Cloud Domain Adaption

Qing Li, Xiaojiang Peng, Chuan Yan, Pan Gao, Qi Hao

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

2303.09095 2023-03-21 cs.CV 57%

SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments

Yudi Dai, Yitai Lin, Xiping Lin, Chenglu Wen, Lan Xu, Hongwei Yi, Siqi Shen, Yuexin Ma, Cheng Wang

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments 11 pages,7 figures, CVPR2023

2205.00760 2023-03-17 cs.CV 57%

Point Cloud Compression with Sibling Context and Surface Priors

Zhili Chen, Zian Qian, Sukai Wang, Qifeng Chen

专题命中激光雷达：occupancy(abstract)；分类 cs.CV

2303.04118 2023-03-08 cs.RO cs.LG 57%

A Multiplicative Value Function for Safe and Efficient Reinforcement Learning

Nick Bührer, Zhejun Zhang, Alexander Liniger, Fisher Yu, Luc Van Gool

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO

Comments Repository available at https://github.com/nikeke19/Safe-Mult-RL

2302.14193 2023-03-01 cs.CV 57%

PointFlowHop: Green and Interpretable Scene Flow Estimation from Consecutive Point Clouds

Pranav Kadam, Jiahao Gu, Shan Liu, C. -C. Jay Kuo

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments 13 pages, 5 figures

2302.12883 2023-02-28 cs.CV 57%

3D Surface Reconstruction in the Wild by Deforming Shape Priors from Synthetic Data

Nicolai Häni, Jun-Jee Chao, Volkan Isler

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

2112.11335 2023-02-23 cs.CV cs.CY cs.LG 57%

Deep Learning Based 3D Point Cloud Regression for Estimating Forest Biomass

Stefan Oehmcke, Lei Li, Katerina Trepekli, Jaime Revenga, Thomas Nord-Larsen, Fabian Gieseke, Christian Igel

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments 31 pages, 14 figures, 4 tables

2302.10589 2023-02-22 cs.RO 57%

Maximum Consensus Localization using an Objective Function based on Helmert's Point Error

Jeldrik Axmann, Yimin Zhang, Claus Brenner

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO

2302.10082 2023-02-21 cs.CV 57%

UAVStereo: A Multiple Resolution Dataset for Stereo Matching in UAV Scenarios

Zhang Xiaoyi, Cao Xuefeng, Yu Anzhu, Yu Wenshuai, Li Zhenqi, Quan Yujun

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

2302.06062 2023-02-14 eess.IV 57%

gpcgc: a green point cloud geometry coding method

Qingyang Zhou, Shan Liu, C. -C. Jay Kuo

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

2302.05201 2023-02-13 cs.CV 57%

PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis

Cheng Wen, Jianzhi Long, Baosheng Yu, Dacheng Tao

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

Comments 10 pages

2302.01109 2023-02-03 cs.CV 57%

GraphReg: Dynamical Point Cloud Registration with Geometry-aware Graph Signal Processing

Zhao Mingyang, Ma Lei, Jia Xiaohong, Yan Dong-Ming, Huang Tiejun

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

2301.11806 2023-01-31 cs.CV cs.SE 57%

PCV: A Point Cloud-Based Network Verifier

Arup Kumar Sarker, Farzana Yasmin Ahmad, Matthew B. Dwyer

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments 11 pages, 12 figures

2301.11251 2023-01-27 cs.RO 57%

Light-Weight Pointcloud Representation with Sparse Gaussian Process

Mahmoud Ali, Lantao Liu

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO

Comments This paper has been accepted for publication at the 2023 IEEE International Conference on Robotics and Automation (ICRA 2023). It has 7 pages, 7 figures

2109.10161 2023-01-24 cs.CV 57%

3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation

Mengxi Wu, Hao Huang, Yi Fang

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

Comments 11 page, 5 figures

2206.02153 2023-01-18 cs.CV cs.LG 57%

HPGNN: Using Hierarchical Graph Neural Networks for Outdoor Point Cloud Processing

Arulmolivarman Thieshanthan, Amashi Niwarthana, Pamuditha Somarathne, Tharindu Wickremasinghe, Ranga Rodrigo

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments Accepted for ICPR 2022

2205.05047 2022-12-22 cs.CV cs.LG stat.AP 57%

Classification and mapping of low-statured 'shrubland' cover types in post-agricultural landscapes of the US Northeast

Michael J Mahoney, Lucas K Johnson, Abigail Z Guinan, Colin M Beier

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments 43 pages (35 main text, 8 supplementary materials); 11 figures (10 main text, 1 supplementary materials), 10 tables (4 main text, 6 supplementary materials)

Journal ref The International Journal of Remote Sensing 43(19-24), (2022), 7117-7138

2206.09664 2022-12-20 cs.CV cs.LG 57%

What Can be Seen is What You Get: Structure Aware Point Cloud Augmentation

Frederik Hasecke, Martin Alsfasser, Anton Kummert

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments Published in IEEE IV 2022

Journal ref 33rd IEEE Intelligent Vehicles Symposium, Aachen, Germany, June 5th - June 9th 2022

2112.13142 2022-12-20 cs.CV cs.GR 57%

Reconstructing Compact Building Models from Point Clouds Using Deep Implicit Fields

Zhaiyu Chen, Hugo Ledoux, Seyran Khademi, Liangliang Nan

专题命中激光雷达：occupancy(abstract)；分类 cs.CV

Comments Accepted for publication in ISPRS Journal of Photogrammetry and Remote Sensing

2212.00987 2022-12-05 cs.CV 57%

Sparse SPN: Depth Completion from Sparse Keypoints

Yuqun Wu, Jae Yong Lee, Derek Hoiem

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

2203.09167 2022-12-05 cs.CV 57%

Unsigned Distance Field as an Accurate 3D Scene Representation for Neural Scene Completion

Jean Pierre Richa, Jean-Emmanuel Deschaud, François Goulette, Nicolas Dalmasso

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments 8 pages, 7 figures, 5 tables

2211.15877 2022-11-30 cs.CV 57%

Effective Utilisation of Multiple Open-Source Datasets to Improve Generalisation Performance of Point Cloud Segmentation Models

Matthew Howe, Boris Repasky, Timothy Payne

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments Accepted into The International Conference on Digital Image Computing: Techniques and Applications (DICTA) 2022

1. 激光雷达 3155 篇

Pointersect: Neural Rendering with Cloud-Ray Intersection

FinderNet: A Data Augmentation Free Canonicalization aided Loop Detection and Closure technique for Point clouds in 6-DOF separation

Exploiting Implicit Rigidity Constraints via Weight-Sharing Aggregation for Scene Flow Estimation from Point Clouds

GlobalMatch: Registration of Forest Terrestrial Point Clouds by Global Matching of Relative Stem Positions

CIMI4D: A Large Multimodal Climbing Motion Dataset under Human-scene Interactions

LidarGait: Benchmarking 3D Gait Recognition with Point Clouds

Spatiotemporal Self-supervised Learning for Point Clouds in the Wild

NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation

Self-Ensemling for 3D Point Cloud Domain Adaption

SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments

Point Cloud Compression with Sibling Context and Surface Priors

A Multiplicative Value Function for Safe and Efficient Reinforcement Learning

PointFlowHop: Green and Interpretable Scene Flow Estimation from Consecutive Point Clouds

3D Surface Reconstruction in the Wild by Deforming Shape Priors from Synthetic Data

Deep Learning Based 3D Point Cloud Regression for Estimating Forest Biomass

Maximum Consensus Localization using an Objective Function based on Helmert's Point Error

UAVStereo: A Multiple Resolution Dataset for Stereo Matching in UAV Scenarios

gpcgc: a green point cloud geometry coding method

PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis

GraphReg: Dynamical Point Cloud Registration with Geometry-aware Graph Signal Processing

PCV: A Point Cloud-Based Network Verifier

Light-Weight Pointcloud Representation with Sparse Gaussian Process

3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation

HPGNN: Using Hierarchical Graph Neural Networks for Outdoor Point Cloud Processing

Classification and mapping of low-statured 'shrubland' cover types in post-agricultural landscapes of the US Northeast

What Can be Seen is What You Get: Structure Aware Point Cloud Augmentation

Reconstructing Compact Building Models from Point Clouds Using Deep Implicit Fields

Sparse SPN: Depth Completion from Sparse Keypoints

Unsigned Distance Field as an Accurate 3D Scene Representation for Neural Scene Completion

Effective Utilisation of Multiple Open-Source Datasets to Improve Generalisation Performance of Point Cloud Segmentation Models