自动驾驶

Present and Future of SLAM in Extreme Underground Environments

Kamak Ebadi, Lukas Bernreiter, Harel Biggie, Gavin Catt, Yun Chang, Arghya Chatterjee, Christopher E. Denniston, Simon-Pierre Deschênes, Kyle Harlow, Shehryar Khattak, Lucas Nogueira, Matteo Palieri, Pavel Petráček, Matěj Petrlík, Andrzej Reinke, Vít Krátký, Shibo Zhao, Ali-akbar Agha-mohammadi, Kostas Alexis, Christoffer Heckman, Kasra Khosoussi, Navinda Kottege, Benjamin Morrell, Marco Hutter, Fred Pauling, François Pomerleau, Martin Saska, Sebastian Scherer, Roland Siegwart, Jason L. Williams, Luca Carlone

专题命中 激光雷达 ：LiDAR(abstract)；分类 cs.RO

Comments 21 pages including references. This survey paper is submitted to IEEE Transactions on Robotics for pre-approval

Masked Discrimination for Self-Supervised Learning on Point Clouds

Haotian Liu, Mu Cai, Yong Jae Lee

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

Comments ECCV 2022; Code: https://github.com/haotian-liu/MaskPoint

Dynamic 3D Scene Analysis by Point Cloud Accumulation

Shengyu Huang, Zan Gojcic, Jiahui Huang, Andreas Wieser, Konrad Schindler

专题命中 激光雷达 ：LiDAR(abstract)；分类 cs.CV

Comments ECCV 2022, camera ready

Capturing, Reconstructing, and Simulating: the UrbanScene3D Dataset

Liqiang Lin, Yilin Liu, Yue Hu, Xingguang Yan, Ke Xie, Hui Huang

专题命中 激光雷达 ：LiDAR(abstract)；分类 cs.CV

Comments ECCV 2022 camera ready; Project page: https://vcc.tech/UrbanScene3D/

GreenPCO: An Unsupervised Lightweight Point Cloud Odometry Method

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

专题命中 激光雷达 ：LiDAR(abstract)；分类 cs.CV

Comments 10 pages, 5 figures

Decision Trees for Analyzing Influences on the Accuracy of Indoor Localization Systems

Jakob Schyga, Swantje Plambeck, Johannes Hinckeldeyn, Görschwin Fey, Jochen Kreutzfeldt

专题命中 激光雷达 ：LiDAR(abstract)；分类 cs.RO

Comments Accepted for 2022 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 5 - 7 Sep. 2022, Beijing, China

Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion

Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, Deng Cai

专题命中 激光雷达 ：LiDAR(abstract)；分类 cs.CV

Comments Accepted by CVPR 2022 (Oral)

Learning-based Lossless Point Cloud Geometry Coding using Sparse Tensors

Dat Thanh Nguyen, Andre Kaup

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

Comments 5 pages, Accepted paper at ICIP 2022

MTBF-33: A multi-temporal building footprint dataset for 33 counties in the United States (1900-2015)

Johannes H. Uhl, Stefan Leyk

专题命中 激光雷达 ：LiDAR(abstract)；分类 cs.CV

Comments 9 pages, 3 figures

Background-Aware 3D Point Cloud Segmentationwith Dynamic Point Feature Aggregation

Jiajing Chen, Burak Kakillioglu, Senem Velipasalar

专题命中 激光雷达 ：LiDAR(abstract)；分类 cs.CV

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

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

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

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

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

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

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

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)

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

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

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

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

Visualizing Global Explanations of Point Cloud DNNs

Hanxiao Tan

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

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

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

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

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

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

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

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