多模态信息融合

Technology Report : Robotic Localization and Navigation System for Visible Light Positioning and SLAM

Weipeng Guan, Patrick Yue

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

Comments This is a technology report from Guan Weipeng's work in HKUST

BAAI-VANJEE Roadside Dataset: Towards the Connected Automated Vehicle Highway technologies in Challenging Environments of China

Deng Yongqiang, Wang Dengjiang, Cao Gang, Ma Bing, Guan Xijia, Wang Yajun, Liu Jianchao, Fang Yanming, Li Juanjuan

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

R2LIVE: A Robust, Real-time, LiDAR-Inertial-Visual tightly-coupled state Estimator and mapping

Jiarong Lin, Chunran Zheng, Wei Xu, Fu Zhang

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

Search Planning of a UAV/UGV Team with Localization Uncertainty in a Subterranean Environment

Matteo De Petrillo, Jared Beard, Yu Gu, Jason N. Gross

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

Roboat II: A Novel Autonomous Surface Vessel for Urban Environments

Wei Wang, Tixiao Shan, Pietro Leoni, David Fernandez-Gutierrez, Drew Meyers, Carlo Ratti, Daniela Rus

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

Comments IROS2020 accepted

LIC-Fusion 2.0: LiDAR-Inertial-Camera Odometry with Sliding-Window Plane-Feature Tracking

Xingxing Zuo, Yulin Yang, Patrick Geneva, Jiajun Lv, Yong Liu, Guoquan Huang, Marc Pollefeys

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

Comments 8 pages; Accepted by a conference

Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation

Jiajun Lv, Jinhong Xu, Kewei Hu, Yong Liu, Xingxing Zuo

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

Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds

Guodong Xu, Wenxiao Wang, Zili Liu, Liang Xie, Zheng Yang, Haifeng Liu, Deng Cai

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

Indoor Layout Estimation by 2D LiDAR and Camera Fusion

Jieyu Li, Robert L Stevenson

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

Comments Fast track article for IS&T International Symposium on Electronic Imaging 2020: Computational Imaging XVIII

LIC-Fusion: LiDAR-Inertial-Camera Odometry

Xingxing Zuo, Patrick Geneva, Woosik Lee, Yong Liu, Guoquan Huang

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

Comments Accepted by conference

Exploiting Symmetries to Design EKFs with Consistency Properties for Navigation and SLAM

Martin Brossard, Axel Barrau, Silvère Bonnabel

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

Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods

Stephen Hausler, Adam Jacobson, Michael Milford

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

Comments Pre-print version of article published in Robotics and Automation Letters

Journal ref IEEE Robotics and Automation Letters, vol. 4, no. 2, pp. 1924-1931, April 2019

Build Your Own Visual-Inertial Drone: A Cost-Effective and Open-Source Autonomous Drone

Inkyu Sa, Mina Kamel, Michael Burri, Michael Bloesch, Raghav Khanna, Marija Popovic, Juan Nieto, Roland Siegwart

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

Comments 21 pages, 10 figures, accepted to IEEE Robotics & Automation Magazine

Journal ref IEEE Robotics & Automation Magazine 2017

EndoSensorFusion: Particle Filtering-Based Multi-sensory Data Fusion with Switching State-Space Model for Endoscopic Capsule Robots

Mehmet Turan, Yasin Almalioglu, Hunter Gilbert, Helder Araujo, Taylan Cemgil, Metin Sitti

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

Comments submitted to ICRA 2018. arXiv admin note: text overlap with arXiv:1705.06196

SemanticVoxels: Sequential Fusion for 3D Pedestrian Detection using LiDAR Point Cloud and Semantic Segmentation

Juncong Fei, Wenbo Chen, Philipp Heidenreich, Sascha Wirges, Christoph Stiller

专题命中 机器人多传感器融合 ：sensor fusion(abstract,comments)；分类 cs.CV、eess.IV、cs.RO

Comments Accepted to present in the 2020 IEEE International Conference on Multisensor Fusion and Integration (MFI 2020)

Learning-Based Speed Estimation from Accelerometer-Only Inertial Sensing

CarSpeedNet: 基于学习的仅使用加速度计的车速估计

Barak Or

机构 * CEO Office, MetaOr Artificial Intelligence（MetaOr人工智能首席执行办公室） ； Google（谷歌） ； Reichman Tech School, Reichman University（Reichman大学技术学院） 纠错

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；multi-sensor fusion(abstract)

AI总结 CarSpeedNet通过仅使用加速度计实现车速估计，无需陀螺仪或其他传感器，提升低资源环境下的导航精度。

Comments 6 pages, under review

Stochastic Average Consensus Filtering and Distributed State Estimation for Boolean Control Networks

布尔控制网络的随机平均共识滤波与分布式状态估计

Rong Yang, Chi Huang

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；multi-sensor fusion(abstract)

AI总结 针对布尔控制网络集中式估计的缺陷，本文结合概率测度变换等方法提出分布式随机平均共识滤波器，证明其收敛性，实现基于局部通信的全局状态估计。

Comments 25 pages, 7 figures

Multi-Sensor Control for Multi-Object Bayes Filters

多传感器控制用于多目标贝叶斯滤波器

Xiaoying Wang, Reza Hoseinnezhad, Amirali K. Gostar, Tharindu Rathnayake, Benlian Xu, Alireza Bab-Hadiashar

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；multi-sensor fusion(abstract)

AI总结 本文提出在部分观测马尔可夫决策过程框架下，利用标记多伯努利滤波器和最小化任务驱动控制目标函数，实现多目标多传感器控制，通过坐标下降法进行多维优化，提升多传感器融合效率。

Comments 21 pages, 8 figures

Journal ref Signal Processing Volume 142, January 2018, Pages 260-270

Wheel Dynamic Load Estimation Method Based on Gas Pressure of Hydro-pneumatic Suspension

基于液压气悬架气体压力的车轮动态载荷估计方法

Qijun Liao, Jue Yang, Subhash Rakheja, Yiting Kang, Yumeng Yao, Yuming Yin

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；multi-sensor fusion(abstract)

AI总结 本文提出一种基于液压气悬架气体压力的车轮动态载荷估计方法，通过非线性耦合模型整合悬架动态与非线性刚度特性，利用单个压力传感器迭代算法实现载荷估计，降低硬件冗余和测量误差传播。

Comments 41 pages, 51 figures

WildFusion: Multimodal Implicit 3D Reconstructions in the Wild

Yanbaihui Liu, Boyuan Chen

机构 * Duke University（杜克大学） 纠错

专题命中 机器人多传感器融合 ：multimodal fusion(abstract)；分类 eess.SP、cs.RO、cs.MM

Comments Our project website is at: http://generalroboticslab.com/WildFusion

Journal ref 2025 IEEE International Conference on Robotics and Automation (ICRA)

From Physics to Machine Learning and Back: Part II - Learning and Observational Bias in PHM

Olga Fink, Ismail Nejjar, Vinay Sharma, Keivan Faghih Niresi, Han Sun, Hao Dong, Chenghao Xu, Amaury Wei, Arthur Bizzi, Raffael Theiler, Yuan Tian, Leandro Von Krannichfeldt, Zhan Ma, Sergei Garmaev, Zepeng Zhang, Mengjie Zhao

机构 * Intelligent Maintenance and Operations Systems Lab, EPFL, Lausanne, Switzerland（智能维护与运营系统实验室，EPFL，拉沃斯纳，瑞士） 纠错

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；multi-sensor fusion(abstract)

Indoor Fusion Positioning Based on "IMU-Ultrasonic-UWB" and Factor Graph Optimization Method

Fengyun Zhang, Jia Li, Xiaoqing Zhang, Shukai Duan, Shuang-Hua Yang

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；hybrid fusion(abstract)

An Integrated Artificial Intelligence Operating System for Advanced Low-Altitude Aviation Applications

Minzhe Tan, Xinlin Fan, Jian He, Yi Hou, Zhan Liu, Yaopeng Jiang, Y. M. Jiang

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；multi-sensor fusion(abstract)

An innovation-based cycle-slip, multipath estimation, detection and mitigation method for tightly coupled GNSS/INS/Vision navigation in urban areas

Bo Xu, Shoujian Zhang, Jingrong Wang, Jiancheng Li

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；multi-sensor fusion(abstract)

Pay Self-Attention to Audio-Visual Navigation

Yinfeng Yu, Lele Cao, Fuchun Sun, Xiaohong Liu, Liejun Wang

专题命中 机器人多传感器融合 ：information fusion(abstract)；audio-visual fusion(abstract)

Comments Main paper (10 pages and 7 figures) and appendix (21 figures and 4 tables). Accepted for publication by BMVC 2022. For data and code, see https://yyf17.github.io/FSAAVN/index.html

Complete Inertial Pose Dataset: from raw measurements to pose with low-cost and high-end MARG sensors

Manuel Palermo, Sara Cerqueira, João André, António Pereira, Cristina P. Santos

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；multi-sensor fusion(abstract)

Comments Submitted to journal

Polarization-driven Semantic Segmentation via Efficient Attention-bridged Fusion

Kaite Xiang, Kailun Yang, Kaiwei Wang

专题命中 机器人多传感器融合 ：multimodal fusion(abstract)；分类 cs.CV、eess.IV、cs.RO

Comments Accepted by Optics Express. 18 pages, 16 figures, 3 tables, 9 equations. Code will be made publicly available at https://github.com/Katexiang/EAFNet

A Comparative Study on Machine Learning Algorithms for the Control of a Wall Following Robot

Issam Hammad, Kamal El-Sankary, Jason Gu

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

Comments Accepted and presented at IEEE International Conference on Robotics and Biomimetics (ROBIO) -2019

Journal ref IEEE International Conference on Robotics and Biomimetics (ROBIO) 2019

Sequential Fusion Estimation for Clustered Sensor Networks

Wen-An Zhang, Ling Shi

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；multi-sensor fusion(abstract)

Comments This paper a novel sequential fusion estimation method for sensor networks. It has 7 pages, 4 figures and 17 references

Sequence Classification with Neural Conditional Random Fields

Myriam Abramson

专题命中 机器人多传感器融合 ：sensor fusion(abstract)；multi-sensor fusion(abstract)

Comments 14th International Conference on Machine Learning and Applications (ICMLA) 2015