多模态信息融合

Multi-Sensor Fusion based Robust Row Following for Compact Agricultural Robots

Andres Eduardo Baquero Velasquez, Vitor Akihiro Hisano Higuti, Mateus Valverde Gasparino, Arun Narenthiran Sivakumar, Marcelo Becker, Girish Chowdhary

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

Journal ref Field Robotics 2 2022 1291 1319

Proactive Anomaly Detection for Robot Navigation with Multi-Sensor Fusion

Tianchen Ji, Arun Narenthiran Sivakumar, Girish Chowdhary, Katherine Driggs-Campbell

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

Comments Accepted by RA-L with ICRA 2022 option

IoT Solutions with Multi-Sensor Fusion and Signal-Image Encoding for Secure Data Transfer and Decision Making

Piyush K. Sharma, Mark Dennison, Adrienne Raglin

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

Comments Advances in Mass Data Analysis of Images and Signals in Artificial Intelligence and Pattern Recognition 15th International Conference, MDA 2020 Amsterdam, The Netherlands, July 20-21, 2020. http://www.ibai-publishing.org/html/proceedings_2020/pdf/proceedings_book_MDA-AI&PR_2020.pdf

Multi-Task Multi-Sensor Fusion for 3D Object Detection

Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun

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

Comments CVPR 2019

Realtime Collision Avoidance for Mobile Robots in Dense Crowds using Implicit Multi-sensor Fusion and Deep Reinforcement Learning

Jing Liang, Utsav Patel, Adarsh Jagan Sathyamoorthy, Dinesh Manocha

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

Comments 8 pages, 7 figures

FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural Networks

Ruochen Yin, Biao Yu, Huapeng Wu, Yutao Song, Runxin Niu

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

Multi-Sensor Fusion via Reduction of Dimensionality

Alon Schclar

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

Comments PhD Thesis, Tel Aviv Univ, 2008

DGFusion: Depth-Guided Sensor Fusion for Robust Semantic Perception

DGFusion：基于深度的传感器融合用于鲁棒的语义感知

Tim Broedermannn, Christos Sakaridis, Luigi Piccinelli, Wim Abbeloos, Luc Van Gool

机构 * Computer Vision Laboratory, ETH Zurich（计算机视觉实验室，苏黎世联邦理工学院） 纠错

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

AI总结 DGFusion通过整合深度信息提升多模态传感器融合，实现自动驾驶中的鲁棒语义感知。

Comments Code and models are available at https://github.com/timbroed/DGFusion

Where is the Boundary: Multimodal Sensor Fusion Test Bench for Tissue Boundary Delineation

Zacharias Chen, Alexa Cristelle Cahilig, Sarah Dias, Prithu Kolar, Ravi Prakash, Patrick J. Codd

机构 * Duke University（杜克大学） ； Research Triangle High School（研究三角高中） ； North Carolina School of Science and Mathematics（北卡罗来纳科学与数学高中） 纠错

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

Comments 4 pages, 5 figures

Multimodal sensor fusion for real-time location-dependent defect detection in laser-directed energy deposition

Lequn Chen, Xiling Yao, Wenhe Feng, Youxiang Chew, Seung Ki Moon

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

Comments 8 pages, 10 figures. This paper has been accepted to be published in the proceedings of IDETC-CIE 2023

Self-Supervised Multimodal Fusion Transformer for Passive Activity Recognition

Armand K. Koupai, Mohammud J. Bocus, Raul Santos-Rodriguez, Robert J. Piechocki, Ryan McConville

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

Comments 9 pages, 7 figures, submitted to IET Wireless Sensor Systems

Multi-sensor fusion for fine-guidance and milliarcsecond-level attitude estimation of balloon-borne telescope

用于球载望远镜精引导及毫角秒级姿态估计的多传感器融合技术

Philippe Voyer, Maya Amit, Steven J. Benton, Benjamin E. Boyd, Anthony M. Brown, Giulia Cerini, Paul Clark, Matthew Craigie, Christopher J. Damaren, Tim Eifler, Spencer W. Everett, Aurelien A. Fraisse, Leo W. H. Fung, Ajay S. Gill, Suren Gourapura, Eric Habjan, John W. Hartley, David Harvey, Bradley Holder, Eric M. Huff, Mathilde Jauzac, William C. Jones, David Lagattuta, Gavin Leroy, Jason S. -Y. Leung, Lun Li, Thuy Vy T. Luu, Richard Massey, Jacqueline E. McCleary, Adyn Miles, Johanna M. Nagy, C. Barth Netterfield, Emaad Paracha, Susan F. Redmond, Jason D. Rhodes, Andrew Robertson, L. Javier Romualdez, Sayan Saha, Jürgen Schmoll, Mohamed M. Shaaban, Ellen Sirks, Sut Ieng Tam, Simon Tartakovsky, Georgios N. Vassilakis, André Z. Vitorelli, Bryce Warren, Alfredo Zenteno

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

AI总结 本研究针对球载望远镜的滚动泄漏问题，基于SuperBIT飞行数据开发仿真框架，对比单星与多星引导架构，发现多星估计可显著降低滚动引发的图像运动，为GigaBIT的多星精引导架构研究提供支撑。

Comments 21 pages, 10 figures, SPIE Astronomical Telescopes + Instrumentation 2026

Distributed Multi-Sensor Fusion Using Generalized Multi-Bernoulli Densities

分布式多传感器融合使用广义多伯努利密度

Meng Jiang, Wei Yi, Reza Hoseinnezhad, Lingjiang Kong

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

AI总结 本文提出基于广义多伯努利密度的分布式多目标跟踪方法，通过第二阶近似改进GCI融合，验证了其在多静态雷达系统中的有效性。

A Gentle Approach to Multi-Sensor Fusion Data Using Linear Kalman Filter

Parsa Veysi, Mohsen Adeli, Nayerosadat Peirov Naziri, Ehsan Adeli

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

Heterogeneous Multi-sensor Fusion with Random Finite Set Multi-object Densities

Wei Yi, Lei Chai

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

DigitalExposome: Quantifying the Urban Environment Influence on Wellbeing based on Real-Time Multi-Sensor Fusion and Deep Belief Network

Thomas Johnson, Eiman Kanjo, Kieran Woodward

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

Memory-Augmented LSTM Autoencoder for Unsupervised Activity Recognition with IMU Sensor Fusion

记忆增强的LSTM自编码器用于基于IMU传感器融合的无监督活动识别

Saeid Arabzadeh, Farshad Almasganj, Mohammad Mahdi Ahmadi

机构 * Faculty of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic)（生物医学工程学院，阿米尔卡比尔技术大学（德黑兰理工大学）） 纠错

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

AI总结 提出一种完全无监督的时空特征融合框架，使用记忆增强自编码器，通过短时间窗口的多传感器IMU数据增强活动表示，在DaLiAc和PAMAP2上分别达到96.6%和98.4%的准确率，超越监督和无监督方法。

Adaptive LiDAR Scanning: Harnessing Temporal Cues for Efficient 3D Object Detection via Multi-Modal Fusion

Sara Shoouri, Morteza Tavakoli Taba, Hun-Seok Kim

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

Comments Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2026

Multimodal sensor fusion in the latent representation space

Robert J. Piechocki, Xiaoyang Wang, Mohammud J. Bocus

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

Comments Under review for Nature Scientific Reports

CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving Scenes

Tim Broedermann, Christos Sakaridis, Yuqian Fu, Luc Van Gool

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

Comments IEEE Robotics and Automation Letters, The source code is publicly available at: https://github.com/timbroed/CAFuser

Enhanced Radar Perception via Multi-Task Learning: Towards Refined Data for Sensor Fusion Applications

Huawei Sun, Hao Feng, Gianfranco Mauro, Julius Ott, Georg Stettinger, Lorenzo Servadei, Robert Wille

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

Comments Accepted by IEEE Intelligent Vehicles Symposium (IV 2024)

Sensor Fusion and Resource Management in MIMO-OFDM Joint Sensing and Communication

Elia Favarelli, Elisabetta Matricardi, Lorenzo Pucci, Wen Xu, Enrico Paolini, Andrea Giorgetti

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

GA2MIF: Graph and Attention Based Two-Stage Multi-Source Information Fusion for Conversational Emotion Detection

Jiang Li, Xiaoping Wang, Guoqing Lv, Zhigang Zeng

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

Comments Accepted by IEEE Transactions on Affective Computing

Incremental learning of LSTM framework for sensor fusion in attitude estimation

Parag Narkhede, Rahee Walambe, Shashi Poddar, Ketan Kotecha

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

Journal ref 2021

Multimodal Fusion and Vision-Language Models: A Survey for Robot Vision

Xiaofeng Han, Shunpeng Chen, Zenghuang Fu, Zhe Feng, Lue Fan, Dong An, Changwei Wang, Li Guo, Weiliang Meng, Xiaopeng Zhang, Rongtao Xu, Shibiao Xu

机构 * aThe State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, China [1ex] bSchool of Artificial Intelligence, University of Chinese Academy of Sciences, China [1ex] cSchool of Artificial Intelligence, Beijing University of Posts ； Telecommunications, China [1ex] dKey Laboratory of Computing Power Network ； Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), China [1ex] e Shandong Provincial Key Laboratory of Computing Power Internet ； Service Computing, Shandong Fundamental Research Center for Computer Science, China 纠错

专题命中 机器人多传感器融合 ：multimodal fusion(title,abstract)；information fusion(comments,journal_ref)；分类 cs.CV、cs.RO

Comments 27 pages, 11 figures. Accepted to Information Fusion. Final journal version: volume 126 (Part B), February 2026

Journal ref Information Fusion, 126 (Part B), February 2026, 103652

PhysNav-DG: A Novel Adaptive Framework for Robust VLM-Sensor Fusion in Navigation Applications

Trisanth Srinivasan, Santosh Patapati

机构 * Cyrion Labs（塞里昂实验室） 纠错

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

Comments Accepted at IEEE/CVF Computer Society Conference on Computer Vision and Pattern Recognition Workshops 2025 (CVPRW)

Robust Deep Multi-Modal Sensor Fusion using Fusion Weight Regularization and Target Learning

Myung Seok Shim, Chenye Zhao, Yang Li, Xuchong Zhang, Wenrui Zhang, Peng Li

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

Sensor fusion using EMG and vision for hand gesture classification in mobile applications

Enea Ceolini, Gemma Taverni, Lyes Khacef, Melika Payvand, Elisa Donati

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

An Evidence Hierarchy for Bayesian Object Classification via OSINT-Aided Heterogeneous Sensor Fusion

基于OSINT辅助异质传感器融合的贝叶斯目标分类证据层级

Jan Nausner, Michael Hubner

机构 * Center for Digital Safety & Security, Austrian Institute of Technology GmbH (AIT)（数字安全与安全研究所，奥地利技术研究院（AIT）） 纠错

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

AI总结 本文提出了一种基于OSINT辅助的异质传感器融合方法，通过建立新的证据层级模型，结合上下文信息和领域知识，提升对CBRNE威胁的分类准确率，实验结果表明该方法在抗干扰和先验不匹配方面具有优势，分类准确率高达95%。

Comments 6 pages, 1 figure; \c{opyright} 2026 IEEE. Accepted for the 2026 IEEE International Conference on Multisensor Fusion and Integration (MFI 2026)

InMyFace: Inertial and Mechanomyography-Based Sensor Fusion for Wearable Facial Activity Recognition

Hymalai Bello, Luis Alfredo Sanchez Marin, Sungho Suh, Bo Zhou, Paul Lukowicz

专题命中 机器人多传感器融合 ：sensor fusion(title)；hybrid fusion(abstract)；information fusion(comments,journal_ref)；分类 eess.SP

Comments Submitted to Information Fusion, Elsevier

Journal ref Information Fusion Elsevier 2023