自动驾驶 - arXivDaily 专题

2108.13268 2022-05-24 cs.RO 57%

Sensor-Based Navigation Using Hierarchical Reinforcement Learning

Christopher Gebauer, Nils Dengler, Maren Bennewitz

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO

Comments Accepted at IAS22

2205.08556 2022-05-19 cs.RO 57%

Global Data Association for SLAM with 3D Grassmannian Manifold Objects

Parker C. Lusk, Jonathan P. How

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO

2203.01252 2022-05-10 cs.CV 57%

A Unified Query-based Paradigm for Point Cloud Understanding

Zetong Yang, Li Jiang, Yanan Sun, Bernt Schiele, Jiaya Jia

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

Comments Accepted by CVPR2022; Codes are available at https://github.com/dvlab-research/DeepVision3D

2204.08084 2022-04-28 cs.CV 57%

Learning 3D Semantics from Pose-Noisy 2D Images with Hierarchical Full Attention Network

Yuhang He, Lin Chen, Junkun Xie, Long Chen

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments 3D Point Cloud Semantic Segmentation, Semantic Aggregation from Images, Pose Noise

2105.11783 2022-04-26 cs.RO 57%

Simple But Effective Redundant Odometry for Autonomous Vehicles

Andrzej Reinke, Xieyuanli Chen, Cyrill Stachniss

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO

Comments Accepted by ICRA 2021. Code: https://github.com/PRBonn/MutiverseOdometry

2204.10319 2022-04-22 cs.LG cs.CV cs.PF 57%

TorchSparse: Efficient Point Cloud Inference Engine

Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin, Song Han

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

Comments MLSys 2022. The first three authors contributed equally to this work. Project page: https://torchsparse.mit.edu

2204.08755 2022-04-20 cs.CV 57%

Dynamic Point Cloud Denoising via Gradient Fields

Qianjiang Hu, Wei Hu

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

2204.07052 2022-04-15 cs.CV 57%

CroCo: Cross-Modal Contrastive learning for localization of Earth Observation data

Wei-Hsin Tseng, Hoàng-Ân Lê, Alexandre Boulch, Sébastien Lefèvre, Dirk Tiede

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments Accepted for publication in the ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (online from July 2022)

2110.01725 2022-04-14 cs.RO 57%

LLOL: Low-Latency Odometry for Spinning Lidars

Chao Qu, Shreyas S. Shivakumar, Wenxin Liu, Camillo J. Taylor

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO

2204.05687 2022-04-13 cs.CV 57%

3DeformRS: Certifying Spatial Deformations on Point Clouds

Gabriel Pérez S., Juan C. Pérez, Motasem Alfarra, Silvio Giancola, Bernard Ghanem

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

Comments Accepted at CVPR 2022

2204.04141 2022-04-11 cs.CV 57%

Investigating Spherical Epipolar Rectification for Multi-View Stereo 3D Reconstruction

Mostafa Elhashash, Rongjun Qin

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments to be published in ISPRS Congress 2022

2203.16895 2022-04-01 cs.CV 57%

Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds

Zhao Jin, Yinjie Lei, Naveed Akhtar, Haifeng Li, Munawar Hayat

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

Comments CVPR 2022

2203.09505 2022-03-29 cs.CV 57%

Visualizing Global Explanations of Point Cloud DNNs

Hanxiao Tan

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

2203.13799 2022-03-28 cs.RO 57%

Gravity-constrained point cloud registration

Vladimír Kubelka, Maxime Vaidis, François Pomerleau

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO

Comments Preprint. Submitted to IROS 2022. 7 pages, 9 figures

2202.13855 2022-03-01 cs.CV 57%

Large-Scale 3D Semantic Reconstruction for Automated Driving Vehicles with Adaptive Truncated Signed Distance Function

Haohao Hu, Hexing Yang, Jian Wu, Xiao Lei, Frank Bieder, Jan-Hendrik Pauls, Christoph Stiller

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments 8 pages

2202.13788 2022-03-01 cs.CV cs.LG 57%

ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data

Michael Biehler, Hao Yan, Jianjun Shi

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

2202.01810 2022-02-07 cs.CV 57%

Deep Surface Reconstruction from Point Clouds with Visibility Information

Raphael Sulzer, Loic Landrieu, Alexandre Boulch, Renaud Marlet, Bruno Vallet

专题命中激光雷达：occupancy(abstract)；分类 cs.CV

Comments 13 pages

2202.00719 2022-02-03 eess.IV cs.NI 57%

Point Cloud Compression for Efficient Data Broadcasting: A Performance Comparison

Francesco Nardo, Davide Peressoni, Paolo Testolina, Marco Giordani, Andrea Zanella

专题命中激光雷达：LiDAR(abstract)；分类 eess.IV

Comments 6 pages, 5 figures, 1 table. This paper has been accepted for presentation at IEEE Wireless Communications and Networking Conference (WCNC) 2022. Please cite it as: F. Nardo, D. Peressoni, P. Testolina, M. Giordani, and A. Zanella, "Point cloud compression for efficient data broadcasting: A performance comparison," IEEE Wireless Communications and Networking Conference (WCNC), Austin, USA, 2022

2201.11625 2022-01-31 cs.RO 57%

SemRob: Towards Semantic Stream Reasoning for Robotic Operating Systems

Manh Nguyen-Duc, Anh Le-Tuan, Manfred Hauswirth, David Bowden, Danh Le-Phuoc

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO

Journal ref Stream Reasoning Workshop, Milano 2021

2201.06935 2022-01-19 eess.IV 57%

Sampling color and geometry point clouds from ShapeNet dataset

Davi Lazzarotto, Touradj Ebrahimi

专题命中激光雷达：LiDAR(abstract)；分类 eess.IV

2112.04680 2022-01-19 cs.CV 57%

SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations

Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments Accepted to 36th AAAI Conference on Artificial Intelligence (AAAI 2022)

2104.03584 2022-01-17 cs.CV cs.LG 57%

PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs

Zhengyang Shen, Tiancheng Shen, Zhouchen Lin, Jinwen Ma

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments Accepted by AAAI2021

2201.05105 2022-01-14 cs.RO 57%

Online Indoor Localization Using DOA of Wireless Signals

Ehsan Latif, Ramviyas Parasuraman

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO

2110.03011 2022-01-14 cs.RO cs.NI 57%

Empirical Analysis of Bi-directional Wi-Fi Network Performance on Mobile Robots in Indoor Environments

Pranav Pandey, Ramviyas Parasuraman

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO

2201.03018 2022-01-11 cs.CV 57%

Self-Supervised Feature Learning from Partial Point Clouds via Pose Disentanglement

Meng-Shiun Tsai, Pei-Ze Chiang, Yi-Hsuan Tsai, Wei-Chen Chiu

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments 10 pages, 4 figures and 6 tables

2009.06903 2021-12-30 cs.CV 57%

A Robust and Reliable Point Cloud Recognition Network Under Rigid Transformation

Dongrui Liu, Chuanchuan Chen, Changqing Xu, Qi Cai, Lei Chu, Fei Wen, Robert Caiming Qiu

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

Comments 13 pages, 11 figures

2104.00798 2021-12-07 cs.CV 57%

FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds

Haiyan Wang, Jiahao Pang, Muhammad A. Lodhi, Yingli Tian, Dong Tian

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

Comments Accepted at CVPR 2021 (Oral Presentation)

2111.14643 2021-11-30 cs.CV cs.GR 57%

Urban Radiance Fields

Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas Funkhouser, Vittorio Ferrari

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments Project: https://urban-radiance-fields.github.io/

2111.12325 2021-11-25 cs.CV 57%

MonoPLFlowNet: Permutohedral Lattice FlowNet for Real-Scale 3D Scene FlowEstimation with Monocular Images

Runfa Li, Truong Nguyen

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

2111.10701 2021-11-23 cs.CV cs.LG 57%

Self-Supervised Point Cloud Completion via Inpainting

Himangi Mittal, Brian Okorn, Arpit Jangid, David Held

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV

Comments BMVC 2021 (Oral)

1. 激光雷达 3145 篇

Sensor-Based Navigation Using Hierarchical Reinforcement Learning

Global Data Association for SLAM with 3D Grassmannian Manifold Objects

A Unified Query-based Paradigm for Point Cloud Understanding

Learning 3D Semantics from Pose-Noisy 2D Images with Hierarchical Full Attention Network

Simple But Effective Redundant Odometry for Autonomous Vehicles

TorchSparse: Efficient Point Cloud Inference Engine

Dynamic Point Cloud Denoising via Gradient Fields

CroCo: Cross-Modal Contrastive learning for localization of Earth Observation data

LLOL: Low-Latency Odometry for Spinning Lidars

3DeformRS: Certifying Spatial Deformations on Point Clouds

Investigating Spherical Epipolar Rectification for Multi-View Stereo 3D Reconstruction

Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds

Visualizing Global Explanations of Point Cloud DNNs

Gravity-constrained point cloud registration

Large-Scale 3D Semantic Reconstruction for Automated Driving Vehicles with Adaptive Truncated Signed Distance Function

ANTLER: Bayesian Nonlinear Tensor Learning and Modeler for Unstructured, Varying-Size Point Cloud Data

Deep Surface Reconstruction from Point Clouds with Visibility Information

Point Cloud Compression for Efficient Data Broadcasting: A Performance Comparison

SemRob: Towards Semantic Stream Reasoning for Robotic Operating Systems

Sampling color and geometry point clouds from ShapeNet dataset

SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations

PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs

Online Indoor Localization Using DOA of Wireless Signals

Empirical Analysis of Bi-directional Wi-Fi Network Performance on Mobile Robots in Indoor Environments

Self-Supervised Feature Learning from Partial Point Clouds via Pose Disentanglement

A Robust and Reliable Point Cloud Recognition Network Under Rigid Transformation

FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds

Urban Radiance Fields

MonoPLFlowNet: Permutohedral Lattice FlowNet for Real-Scale 3D Scene FlowEstimation with Monocular Images

Self-Supervised Point Cloud Completion via Inpainting