自动驾驶 - arXivDaily 专题

2205.01550 2022-07-01 cs.CV eess.IV 62%

Point Cloud Semantic Segmentation using Multi Scale Sparse Convolution Neural Network

Yunzheng Su, Lei Jiang, Jie Cao

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、eess.IV

2103.11686 2022-06-28 cs.RO cs.AI 62%

IPAPRec: A promising tool for learning high-performance mapless navigation skills with deep reinforcement learning

Wei Zhang, Yunfeng Zhang, Ning Liu, Kai Ren, Pengfei Wang

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO、cs.AI

Comments This article has been accepted for publication in IEEE/ASME Transactions on Mechatronics. This is the author's version which has not been fully edited and content may change prior to final publication

2201.04387 2022-06-16 cs.RO cs.CV 62%

Maximizing Self-supervision from Thermal Image for Effective Self-supervised Learning of Depth and Ego-motion

Ukcheol Shin, Kyunghyun Lee, Byeong-Uk Lee, In So Kweon

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO、cs.CV

Comments 8 pages, Accepted by IEEE Robotics and Automation Letters (RA-L) with IROS 2022 option

2206.01297 2022-06-06 cs.CV eess.IV 62%

Lossless Compression of Point Cloud Sequences Using Sequence Optimized CNN Models

Emre Can Kaya, Ioan Tabus

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

Comments 9 pages, 5 figures

2205.12464 2022-05-26 cs.CV cs.AI cs.LG 62%

sat2pc: Estimating Point Cloud of Building Roofs from 2D Satellite Images

Yoones Rezaei, Stephen Lee

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、cs.AI

2204.13952 2022-05-02 cs.CV eess.IV 62%

Deep Geometry Post-Processing for Decompressed Point Clouds

Xiaoqing Fan, Ge Li, Dingquan Li, Yurui Ren, Wei Gao, Thomas H. Li

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

2203.06612 2022-03-15 cs.CV cs.RO 62%

A Single Correspondence Is Enough: Robust Global Registration to Avoid Degeneracy in Urban Environments

Hyungtae Lim, Suyong Yeon, Soohyun Ryu, Yonghan Lee, Youngji Kim, Jaeseong Yun, Euigon Jung, Donghwan Lee, Hyun Myung

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO、cs.CV

Comments 8 pages. Acccepted by ICRA 2022

2203.00952 2022-03-03 eess.IV cs.CV eess.SP 62%

Sketched RT3D: How to reconstruct billions of photons per second

Julián Tachella, Michael P. Sheehan, Mike E. Davies

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、eess.IV

Comments Accepted at ICASSP 2022

2201.01191 2022-01-05 cs.CV eess.IV 62%

Automated 3D reconstruction of LoD2 and LoD1 models for all 10 million buildings of the Netherlands

Ravi Peters, Balázs Dukai, Stelios Vitalis, Jordi van Liempt, Jantien Stoter

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、eess.IV

Comments Submitted to Journal of Photogrammetric Engineering & Remote Sensing

2112.13534 2021-12-28 cs.CV cs.AI 62%

Adversarial Attack for Asynchronous Event-based Data

Wooju Lee, Hyun Myung

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

Comments 8 pages, 6 figures, Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22)

2109.06972 2021-12-08 eess.IV cs.CE cs.CV cs.LG 62%

Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops

Stefania Di Tommaso, Sherrie Wang, David B. Lobell

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、eess.IV

2111.13838 2021-11-30 cs.CV cs.RO 62%

DSC: Deep Scan Context Descriptor for Large-Scale Place Recognition

Jiafeng Cui, Tengfei Huang, Yingfeng Cai, Junqiao Zhao, Lu Xiong, Zhuoping Yu

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO、cs.CV

2111.08973 2021-11-22 cs.CV eess.IV 62%

Generating Unrestricted 3D Adversarial Point Clouds

Xuelong Dai, Yanjie Li, Hua Dai, Bin Xiao

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

2111.08755 2021-11-18 cs.CV cs.AI 62%

Learning Scene Dynamics from Point Cloud Sequences

Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、cs.AI

Comments Accepted for publication in International Journal of Computer Vision, Special Issue on 3D Computer Vision. Code and data: https://github.com/BestSonny/SPCM

2110.04076 2021-10-19 cs.CV cs.RO 62%

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

Benedikt Mersch, Xieyuanli Chen, Jens Behley, Cyrill Stachniss

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO、cs.CV

Comments Accepted for CoRL 2021

2103.16652 2021-10-14 cs.LG cs.AI cs.CV 62%

Robustness Certification for Point Cloud Models

Tobias Lorenz, Anian Ruoss, Mislav Balunović, Gagandeep Singh, Martin Vechev

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

Comments International Conference on Computer Vision (ICCV) 2021

Journal ref Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) 2021, pp. 7608-7618

2106.06482 2021-10-12 cs.CV eess.IV 62%

Neural Network Modeling of Probabilities for Coding the Octree Representation of Point Clouds

Emre Can Kaya, Ioan Tabus

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

Comments 6 pages, 3 figures, MMSP 2021 camera-ready

2108.10531 2021-10-12 cs.CV cs.AI cs.LG 62%

Unsupervised Depth Completion with Calibrated Backprojection Layers

Alex Wong, Stefano Soatto

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、cs.AI

2108.08369 2021-08-20 cs.CV eess.IV 62%

Quality assessment of image matchers for DSM generation -- a comparative study based on UAV images

Rongjun Qin, Armin Gruen, Cive Fraser

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、eess.IV

2012.03321 2021-07-29 cs.RO cs.CV 62%

Global Unifying Intrinsic Calibration for Spinning and Solid-State LiDARs

Jiunn-Kai Huang, Chenxi Feng, Madhav Achar, Maani Ghaffari, Jessy W. Grizzle

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO、cs.CV

1905.08616 2021-07-22 cs.CV cs.AI cs.LG stat.ML 62%

Unsupervised Depth Completion from Visual Inertial Odometry

Alex Wong, Xiaohan Fei, Stephanie Tsuei, Stefano Soatto

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、cs.AI

2106.00182 2021-07-21 cs.CV eess.IV 62%

Quantification of Carbon Sequestration in Urban Forests

Levente J. Klein, Wang Zhou, Conrad M. Albrecht

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、eess.IV

Journal ref International Conference on Machine Learning (ICML 2021) Workshop

2107.06709 2021-07-15 cs.CV eess.IV 62%

DVMN: Dense Validity Mask Network for Depth Completion

Laurenz Reichardt, Patrick Mangat, Oliver Wasenmüller

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、eess.IV

Comments This paper has been accepted at IEEE Intelligent Transportation Systems Conference (ITSC), 2021

2107.00400 2021-07-02 eess.IV cs.CV cs.LG 62%

Lossless Coding of Point Cloud Geometry using a Deep Generative Model

Dat Thanh Nguyen, Maurice Quach, Giuseppe Valenzise, Pierre Duhamel

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

Comments This paper has been submitted to the IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). arXiv admin note: text overlap with arXiv:2011.14700

2009.14005 2021-07-02 cs.CV eess.IV 62%

Fast Gravitational Approach for Rigid Point Set Registration with Ordinary Differential Equations

Sk Aziz Ali, Kerem Kahraman, Christian Theobalt, Didier Stricker, Vladislav Golyanik

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、eess.IV

Comments 18 pages, 18 figures and two tables

Journal ref IEEE Access, vol. 9, pp. 79060-79079, 2021

2106.01504 2021-06-04 cs.CV cs.GR cs.LG eess.IV 62%

DeepCompress: Efficient Point Cloud Geometry Compression

Ryan Killea, Yun Li, Saeed Bastani, Paul McLachlan

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

Comments 13 pages, 8 figures

2003.01174 2021-04-27 cs.CV cs.LG eess.IV 62%

LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation

Peng Jiang, Srikanth Saripalli

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、eess.IV

Comments 8 pages, 3 figures

2104.03501 2021-04-09 cs.CV cs.AI 62%

DeepI2P: Image-to-Point Cloud Registration via Deep Classification

Jiaxin Li, Gim Hee Lee

专题命中激光雷达：LiDAR(abstract)；分类 cs.CV、cs.AI

Comments CVPR 2021. Main paper and supplementary materials

1908.10349 2021-04-05 cs.RO cs.CV cs.LG 62%

LiDARTag: A Real-Time Fiducial Tag System for Point Clouds

Jiunn-Kai Huang, Shoutian Wang, Maani Ghaffari, Jessy W. Grizzle

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO、cs.CV

Journal ref IEEE Robotics and Automation Letters, 31 March 2021

2009.13727 2021-02-03 cs.CV cs.RO 62%

Graph-based methods for analyzing orchard tree structure using noisy point cloud data

Fredrik Westling, Dr James Underwood, Dr Mitch Bryson

专题命中激光雷达：LiDAR(abstract)；分类 cs.RO、cs.CV

1. 激光雷达 3155 篇

Point Cloud Semantic Segmentation using Multi Scale Sparse Convolution Neural Network

IPAPRec: A promising tool for learning high-performance mapless navigation skills with deep reinforcement learning

Maximizing Self-supervision from Thermal Image for Effective Self-supervised Learning of Depth and Ego-motion

Lossless Compression of Point Cloud Sequences Using Sequence Optimized CNN Models

sat2pc: Estimating Point Cloud of Building Roofs from 2D Satellite Images

Deep Geometry Post-Processing for Decompressed Point Clouds

A Single Correspondence Is Enough: Robust Global Registration to Avoid Degeneracy in Urban Environments

Sketched RT3D: How to reconstruct billions of photons per second

Automated 3D reconstruction of LoD2 and LoD1 models for all 10 million buildings of the Netherlands

Adversarial Attack for Asynchronous Event-based Data

Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops

DSC: Deep Scan Context Descriptor for Large-Scale Place Recognition

Generating Unrestricted 3D Adversarial Point Clouds

Learning Scene Dynamics from Point Cloud Sequences

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

Robustness Certification for Point Cloud Models

Neural Network Modeling of Probabilities for Coding the Octree Representation of Point Clouds

Unsupervised Depth Completion with Calibrated Backprojection Layers

Quality assessment of image matchers for DSM generation -- a comparative study based on UAV images

Global Unifying Intrinsic Calibration for Spinning and Solid-State LiDARs

Unsupervised Depth Completion from Visual Inertial Odometry

Quantification of Carbon Sequestration in Urban Forests

DVMN: Dense Validity Mask Network for Depth Completion

Lossless Coding of Point Cloud Geometry using a Deep Generative Model

Fast Gravitational Approach for Rigid Point Set Registration with Ordinary Differential Equations

DeepCompress: Efficient Point Cloud Geometry Compression

LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation

DeepI2P: Image-to-Point Cloud Registration via Deep Classification

LiDARTag: A Real-Time Fiducial Tag System for Point Clouds

Graph-based methods for analyzing orchard tree structure using noisy point cloud data