自动驾驶

Real-time 3D reconstruction from single-photon lidar data using plug-and-play point cloud denoisers

Julián Tachella, Yoann Altmann, Nicolas Mellado, Aongus McCarthy, Rachael Tobin, Gerald S. Buller, Jean-Yves Tourneret, Stephen McLaughlin

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 eess.IV

An Interactive LiDAR to Camera Calibration

Yecheng Lyu, Lin Bai, Mahdi Elhousni, Xinming Huang

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 eess.IV

Comments Submitted to IV 2019

EM-based approach to 3D reconstruction from single-waveform multispectral Lidar data

Quentin Legros, Sylvain Meignen, Stephen McLaughlin, Yoann Altmann

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 eess.IV

Deep Generative Modeling of LiDAR Data

Lucas Caccia, Herke van Hoof, Aaron Courville, Joelle Pineau

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 cs.CV

Comments Presented at IROS 2019

Lidar-Camera Co-Training for Semi-Supervised Road Detection

Luca Caltagirone, Lennart Svensson, Mattias Wahde, Martin Sanfridson

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 cs.CV

Robust Building-based Registration of Airborne LiDAR Data and Optical Imagery on Urban Scenes

Thanh Huy Nguyen, Sylvie Daniel, Didier Gueriot, Christophe Sintes, Jean-Marc Le Caillec

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 cs.CV

Comments Copyright 2019 IEEE. Published in the IEEE 2019 International Geoscience & Remote Sensing Symposium (IGARSS 2019), scheduled for July 28 - August 2, 2019 in Yokohama, Japan

Journal ref IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019, pp. 8474-8477

LiDAR Enhanced Structure-from-Motion

Weikun Zhen, Yaoyu Hu, Huai Yu, Sebastian Scherer

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 cs.RO

Comments 6 pages plus reference. Work has been submitted to ICRA 2020

Toward Underground Localization: Lidar Inertial Odometry Enabled Aerial Robot Navigation

Jiun Fatt Chow, Basaran Bahadir Kocer, John Henawy, Gerald Seet, Zhengguo Li, Wei Yun Yau, Mahardhika Pratama

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 cs.RO

Comments Accepted to IROS 2019 Workshop on Challenges in Vision-based Drones Navigation

Low-Cost GPS-Aided LiDAR State Estimation and Map Building

Linwei Zheng, Yilong Zhu, Bohuan Xue, Ming Liu, Rui Fan

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 cs.RO

Comments 6 pages, 6 figures, 2019 IEEE International Conference on Imaging Systems and Techniques (IST)

Real-Time, Environmentally-Robust 3D LiDAR Localization

Yilong Zhu, Bohuan Xue, Linwei Zheng, Huaiyang Huang, Ming Liu, Rui Fan

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 cs.RO

Comments 6 pages, 8 figures, 2019 IEEE International Conference on Imaging Systems and Techniques (IST)

Gated2Depth: Real-time Dense Lidar from Gated Images

Tobias Gruber, Frank Julca-Aguilar, Mario Bijelic, Werner Ritter, Klaus Dietmayer, Felix Heide

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 cs.CV

Comments ICCV 2019 (oral), Authorship changed due to ICCV policy

Bayesian 3D Reconstruction of Complex Scenes from Single-Photon Lidar Data

Julián Tachella, Yoann Altmann, Ximing Ren, Aongus McCarthy, Gerald S. Buller, Jean-Yves Tourneret, Steve McLaughlin

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 eess.IV

Journal ref SIAM Journal on Imaging Sciences 2019 12:1, 521-550

LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net

Pierre Biasutti, Vincent Lepetit, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 cs.CV

Comments 9 pages, 9 figures. arXiv admin note: substantial text overlap with arXiv:1905.08748

Lidar Measurement Bias Estimation via Return Waveform Modelling in a Context of 3D Mapping

Johann Laconte, Simon-Pierre Deschênes, Mathieu Labussière, François Pomerleau

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 cs.RO

Comments IEEE Copyrights: 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

LiDAR-Camera Calibration under Arbitrary Configurations: Observability and Methods

Bo Fu, Yue Wang, Xiaqing Ding, Yanmei Jiao, Li Tang, Rong Xiong

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 cs.RO

Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling

Florian Piewak, Peter Pinggera, Marius Zöllner

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 cs.CV

RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud

Pierre Biasutti, Aurélie Bugeau, Jean-François Aujol, Mathieu Brédif

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 cs.CV

Comments This version of the article contains revised scores to match the evaluation process presented in SqueezeSegV2

An optimal hierarchical clustering approach to segmentation of mobile LiDAR point clouds

Sheng Xu, Ruisheng Wang, Han Zheng

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 cs.CV

Comments Submitted to IEEE Transaction on Geoscience and Remote Sense

Integration of LiDAR and multispectral images for exposure and earthquake vulnerability estimation. Application in Lorca, Spain

Yolanda Torres, Jose Juan Arranz, Jorge M. Gaspar-Escribano, Azadeh Haghi, Sandra Martinez-Cuevas, Belen Benito, Juan Carlos Ojeda

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 eess.IV

Journal ref I.J. of Applied Earth Observation and Geoinformation, 81, 161-175 (2019)

Ghost imaging LiDAR via sparsity constraints using push-broom scanning

Shuang Ma, Zhentao Liu, Chenglong Wang, Chenyu Hu, Enrong Li, Wenlin Gong, Zhishen Tong, Jianrong Wu, Xia Shen, Shensheng Han

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 eess.IV

Glidar3DJ: A View-Invariant gait identification via flash lidar data correction

Nasrin Sadeghzadehyazdi, Tamal Batabyal, A. Glandon, Nibir K. Dhar, B. O. Familoni, K. M. Iftekharuddin, Scott T. Acton

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 eess.IV

Comments This paper is accepted to be published in: 2019 IEEE International Conference on Image Processing, Sept 22-25, 2019, Taipei, Taiwan

Ground vehicle mapping of fields using LiDAR to enable prediction of crop biomass

Martin Peter Christiansen, Morten Stigaard Laursen, Rasmus Nyholm Jørgensen, Søren Skovsen, René Gislum

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 cs.RO

Comments 9 pages, 6 figures, conference (ICPA 2018)

Journal ref 14th International Conference on Precision Agriculture 2018

DeLiO: Decoupled LiDAR Odometry

Queens Maria Thomas, Oliver Wasenmüller, Didier Stricker

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 cs.CV

Comments Accepted at IEEE Intelligent Vehicles Symposium (IV), 2019

A Novel Dual-Lidar Calibration Algorithm Using Planar Surfaces

Jianhao Jiao, Qinghai Liao, Yilong Zhu, Tianyu Liu, Yang Yu, Rui Fan, Lujia Wang, Ming Liu

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 cs.CV

Comments 6 pages, 8 figures, accepted by 2019 IEEE Intelligent Vehicles Symposium (IVS)

LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking

Bernie Wang, Virginia Wu, Bichen Wu, Kurt Keutzer

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 cs.CV

Geographical Map Registration and Fusion of Lidar-Aerial Orthoimagery in GIS

Siqi Yi, Stewart Worrall, Eduardo Nebot

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 cs.RO

Efficient LiDAR data compression for embedded V2I or V2V data handling

Paul Caillet, Yohan Dupuis

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 cs.RO

DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image

Jiaxiong Qiu, Zhaopeng Cui, Yinda Zhang, Xingdi Zhang, Shuaicheng Liu, Bing Zeng, Marc Pollefeys

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 cs.CV

Comments 10 pages, 8 figures

Noise-Aware Unsupervised Deep Lidar-Stereo Fusion

Xuelian Cheng, Yiran Zhong, Yuchao Dai, Pan Ji, Hongdong Li

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 cs.CV

Comments Accepted at CVPR2019

3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization

Tsun-Hsuan Wang, Hou-Ning Hu, Chieh Hubert Lin, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun

专题命中 激光雷达 ：LiDAR(title,abstract)；分类 cs.CV

Comments ver.1