多模态信息融合

Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimation

Jaesung Choe, Kyungdon Joo, Tooba Imtiaz, In So Kweon

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 cs.CV

Comments This is a presentation paper for ICRA 2021. Accepted at RA-L 2021

A Robust Extrinsic Calibration Framework for Vehicles with Unscaled Sensors

Celyn Walters, Oscar Mendez, Simon Hadfield, Richard Bowden

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 cs.RO

Journal ref 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 2019, pp. 36-42

Memory-Efficient, Limb Position-Aware Hand Gesture Recognition using Hyperdimensional Computing

Andy Zhou, Rikky Muller, Jan Rabaey

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 eess.SP

Comments TinyML Research Symposium '21

CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection

Ramin Nabati, Hairong Qi

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 cs.CV

Comments WACV 2021

LIRO: Tightly Coupled Lidar-Inertia-Ranging Odometry

Thien-Minh Nguyen, Muqing Cao, Shenghai Yuan, Yang Lyu, Thien Hoang Nguyen, Lihua Xie

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 cs.RO

Self-Tuning State Estimation for Adaptive Truss Structures Using Strain Gauges and Camera-Based Position Measurements

Alexander Warsewa, Michael Böhm, Flavio Guerra, Julia Wagner, Tobias Haist, Cristina Tarín, Oliver Sawodny

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 eess.SP

Journal ref Mechanical Systems and Signal Processing, Volume 143, 2020, 106822

VersaVIS: An Open Versatile Multi-Camera Visual-Inertial Sensor Suite

Florian Tschopp, Michael Riner, Marius Fehr, Lukas Bernreiter, Fadri Furrer, Tonci Novkovic, Andreas Pfrunder, Cesar Cadena, Roland Siegwart, Juan Nieto

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 cs.RO

Journal ref Sensors 2020, 20(5), 1439

Elasticity Meets Continuous-Time: Map-Centric Dense 3D LiDAR SLAM

Chanoh Park, Peyman Moghadam, Jason Williams, Soohwan Kim, Sridha Sridharan, Clinton Fookes

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 cs.RO

Comments Submitted to IEEE Transactions on Robotics

A New Approach to 3D ICP Covariance Estimation

Martin Brossard, Silvere Bonnabel, Axel Barrau

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 cs.RO

Comments IEEE Robotics and Automation Letters, IEEE 2020

Inertial Sensing Meets Artificial Intelligence: Opportunity or Challenge?

You Li, Ruizhi Chen, Xiaoji Niu, Yuan Zhuang, Zhouzheng Gao, Xin Hu, Naser El-Sheimy

专题命中 机器人多传感器融合 ：information fusion(abstract)；分类 eess.SP

Uncertainty Estimation in One-Stage Object Detection

Florian Kraus, Klaus Dietmayer

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 cs.CV

Journal ref IEEE Intelligent Transportation Systems Conference (ITSC), 2019, pp. 53-60

Inner Attention Supported Adaptive Cooperation for Heterogeneous Multi Robots Teaming based on Multi-agent Reinforcement Learning

Chao Huang, Rui Liu

专题命中 机器人多传感器融合 ：information fusion(abstract)；分类 cs.RO

Comments The latest version of this paper has been uploaded to arXiv:2006.15482 and already accepted by a workshop

AutoSOS: Towards Multi-UAV Systems Supporting Maritime Search and Rescue with Lightweight AI and Edge Computing

Jorge Peña Queralta, Jenni Raitoharju, Tuan Nguyen Gia, Nikolaos Passalis, Tomi Westerlund

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 cs.RO

Gaussians on Riemannian Manifolds: Applications for Robot Learning and Adaptive Control

Sylvain Calinon

专题命中 机器人多传感器融合 ：information fusion(abstract)；分类 cs.RO

iDCR: Improved Dempster Combination Rule for Multisensor Fault Diagnosis

Nimisha Ghosh, Sayantan Saha, Rourab Paul

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 eess.SP

A Lightweight and Accurate Localization Algorithm Using Multiple Inertial Measurement Units

Ming Zhang, Yiming Chen, Xiangyu Xu, Mingyang Li

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 cs.RO

Comments Accepted to IEEE Robotics and Automation Letters (RA-L), to appear

Expectation-Maximization for Adaptive Mixture Models in Graph Optimization

Tim Pfeifer, Peter Protzel

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 cs.RO

Comments 7 pages, 4 figures, Small fixes on Eqation. (9) and (19)

Journal ref 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 2019, pp. 3151-3157

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach

Bin Zhu, Augusto Ferrante, Johan Karlsson, Mattia Zorzi

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 eess.SP

Comments 6 pages in IEEE conference template; accepted for presentation in CDC 2019

A Joint Optimization Approach of LiDAR-Camera Fusion for Accurate Dense 3D Reconstructions

Weikun Zhen, Yaoyu Hu, Jingfeng Liu, Sebastian Scherer

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 cs.RO

Comments Accepted by IEEE Robotics and Automation Letters and is to be presented at IROS2019, Macau

Hybrid Contact Preintegration for Visual-Inertial-Contact State Estimation Using Factor Graphs

Ross Hartley, Maani Ghaffari Jadidi, Lu Gan, Jiunn-Kai Huang, Jessy W. Grizzle, Ryan M. Eustice

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 cs.RO

Comments Detailed derivations are provided in the supplementary material document listed under "Ancillary files"

ViTa-SLAM: Biologically-Inspired Visuo-Tactile SLAM

Oliver Struckmeier, Kshitij Tiwari, Martin J. Pearson, Ville Kyrki

专题命中 机器人多传感器融合 ：information fusion(abstract)；分类 cs.RO

Comments 2 pages, 5 figures, ICRA 2019 workshop

Diffuse to fuse EEG spectra -- intrinsic geometry of sleep dynamics for classification

Gi-Ren Liu, Yu-Lun Lo, John Malik, Yuan-Chung Sheu, Hau-tieng Wu

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 eess.SP

A Factor Graph Approach to Multi-Camera Extrinsic Calibration on Legged Robots

Andrzej Reinke, Marco Camurri, Claudio Semini

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 cs.RO

Comments To appear on "The Third IEEE International Conference on Robotic Computing (IEEE IRC 2019)"

Closed-form Preintegration Methods for Graph-based Visual-Inertial Navigation

Kevin Eckenhoff, Patrick Geneva, Guoquan Huang

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 cs.RO

Comments Final version, 22 pages in total, accepted December 20, 2018 to the International Journal of Robotics Research

Trial by Flyer: Building Quadcopters From Scratch in a Ten-Week Capstone Course

Steven Swanson

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 cs.RO

The Rosario Dataset: Multisensor Data for Localization and Mapping in Agricultural Environments

Taihú Pire, Martín Mujica, Javier Civera, Ernesto Kofman

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 cs.RO

Comments 9 pages, 6 figures, 4 tables, IJRR journal data paper

A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors

Tong Qin, Shaozu Cao, Jie Pan, Shaojie Shen

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 cs.CV

Social Navigation Planning Based on People's Awareness of Robots

Minkyu Kim, Jaemin Lee, Steven Jens Jorgensen, Luis Sentis

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 cs.RO

Comments 8pages, 7 figures

Active Target Tracking with Self-Triggered Communications in Multi-Robot Teams

Lifeng Zhou, Pratap Tokekar

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 cs.RO

Comments Our paper has been accepted as a regular paper and is going to be published in IEEE Transactions on Automation Science and Engineering. We update the final version of our paper. The main change from previous arXiv version is the discussion about the limited communication and sensing range(Section V-B, page 6) and more details about the calculation of the omega_max in the appendix

Online Temporal Calibration for Monocular Visual-Inertial Systems

Tong Qin, Shaojie Shen

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；分类 cs.CV

Comments IROS 2018