多模态信息融合

A deep adversarial approach based on multi-sensor fusion for remaining useful life prognostics

David Verstraete, Enrique Droguett, Mohammad Modarres

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

Comparative survey: People detection, tracking and multi-sensor Fusion in a video sequence

Hiliwi Leake Kidane

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

Comments 7 pages, 9 figures

Multi-Sensor Fusion Method using Dynamic Bayesian Network for Precise Vehicle Localization and Road Matching

Cherif Smaili, Maan El Badaoui El Najjar, François Charpillet

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

SoK: The Next Frontier in AV Security: Systematizing Perception Attacks and the Emerging Threat of Multi-Sensor Fusion

SoK：自动驾驶安全的下一个前沿：系统化感知攻击与多传感器融合的新兴威胁

Shahriar Rahman Khan, Tariqul Islam, Raiful Hasan

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

AI总结 本文系统化分析了48篇关于自动驾驶感知层攻击的研究，揭示了从单传感器攻击到多传感器融合威胁的发展趋势，指出现有研究在现实测试、短期评估偏见及跨传感器一致性防御方面的不足，并提出融合感知安全的设计方向。

Comments 20 Pages, 3 figures

A Multi-Sensor Fusion Parking Barrier System with Lightweight Vision on Edge

一种基于边缘轻量视觉的多传感器融合停车栏系统

Yuwen Zhu, Feiyang Qi, Zhengzhe Xiang

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

AI总结 本文提出一种基于深度学习和多传感器融合的智能停车栏系统，通过边缘计算和轻量化设计提升检测精度、实时性和低功耗性能，实验表明其在准确率、响应速度和能耗方面均具优势。

Locally Differentially Private Multi-Sensor Fusion Estimation With System Intrinsic Randomness

Xinhao Yan, Bo Chen, Hailong Huang

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

Comments 12 pages, 5 figures

MultiTest: Physical-Aware Object Insertion for Testing Multi-sensor Fusion Perception Systems

Xinyu Gao, Zhijie Wang, Yang Feng, Lei Ma, Zhenyu Chen, Baowen Xu

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

Comments The first two authors contributed equally. To appear in the proceedings of the 46th International Conference on Software Engineering (ICSE 2024)

Multi-view and Multi-modal Event Detection Utilizing Transformer-based Multi-sensor fusion

Masahiro Yasuda, Yasunori Ohishi, Shoichiro Saito, Noboru Harada

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

Comments 5 pages, 5 figures, to appear in IEEE ICASSP 2022

Model-based multi-sensor fusion for reconstructing wall-bounded turbulence

Mengying Wang, C. Vamsi Krishna, Mitul Luhar, Maziar S. Hemati

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

Computationally Efficient Distributed Multi-sensor Fusion with Multi-Bernoulli Filter

Wei Yi, Suqi Li, Bailu Wang, Reza Hoseinnezhad, Lingjiang Kong

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

Comments 16 pages, 11 figures; Under review for IEEE Transactions on Signal processing

Infrastructure Sensor-enabled Vehicle Data Generation using Multi-Sensor Fusion for Proactive Safety Applications at Work Zone

Suhala Rabab Saba, Sakib Khan, Minhaj Uddin Ahmad, Jiahe Cao, Mizanur Rahman, Li Zhao, Nathan Huynh, Eren Erman Ozguven

机构 * The University of Alabama（阿拉巴马大学） ； MITRE Corporation（MITRE公司） ； University of Nebraska-Lincoln（内布拉斯加大学林肯分校） ； FAMU-FSU College of Engineering（佛罗里达州立大学工程学院） 纠错

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

NERVE: A Neuromorphic Vision and Radar Ensemble for Multi-Sensor Fusion Research

NERVE：一种用于多传感器融合研究的神经形态视觉与雷达集成系统

Omar Mansour, Pietro Martinello, Ethan Milon, YingFu Xu, Manolis Sifalakis, Guangzhi Tang, Amirreza Yousefzadeh

机构 * 1University of Twente, Netherlands 2University of Modena ； 3University of Strasbourg, France 4IMEC the Netherlands, Netherlands ； 5Innatera, Netherlands 6Maastricht University, Netherlands 纠错

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

AI总结 NERVE包含257分钟同步记录的多传感器数据，用于评估多模态融合，通过DVS与雷达结合提升人体检测和距离估计性能。

Comments To be published in ICJNN 2026 Maastricht

Uplifting Range-View-based 3D Semantic Segmentation in Real-Time with Multi-Sensor Fusion

Shiqi Tan, Hamidreza Fazlali, Yixuan Xu, Yuan Ren, Bingbing Liu

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

Graph-based Multi-sensor Fusion for Consistent Localization of Autonomous Construction Robots

Julian Nubert, Shehryar Khattak, Marco Hutter

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

Comments 7 pages, 6 figures, 2 tables

A Multi-Sensor Fusion Approach for Rapid Orthoimage Generation in Large-Scale UAV Mapping

一种多传感器融合方法用于大规模无人机测绘中的快速正射影像生成

Jialei He, Zhihao Zhan, Zhituo Tu, Xiang Zhu, Jie Yuan

机构 * School of Electronic Science and Engineering, Nanjing University（南京大学电子科学与技术学院） ； TopXGun Robotics（TopXGun机器人） 纠错

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

AI总结 本文提出一种多传感器融合方法，通过优化姿态前馈特征匹配提升速度与精度，有效解决传统正射影像生成在时间性能、系统鲁棒性和地理参考精度方面的不足，适用于低纹理场景如农田的快速正射影像生成。

Journal ref IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025

When Multi-Sensor Fusion Fails to Generalize: Cattle Posture Classification Under Animal-Level and Temporal Distribution Shift

当多传感器融合无法泛化：动物级别和时间分布偏移下的牛姿势分类

Leutrim Uka, Severino Pinto, Gundula Hoffmann, Marina M. -C. Höhne

机构 * Institute of Computer Science, University of Potsdam（波茨坦大学计算机科学研究所） ； Department of Sensors and Modelling, Leibniz Institute for Agricultural Engineering and Bioeconomy - ATB（莱布尼茨农业工程与生物经济研究所传感器与建模系） ； Department of Data Science in Bioeconomy, Leibniz Institute for Agricultural Engineering and Bioeconomy - ATB（莱布尼茨农业工程与生物经济研究所生物经济数据科学系） 纠错

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

AI总结 研究评估多传感器融合在牛姿势分类中的鲁棒性，发现跨年评估性能大幅下降（F1从0.94降至0.49），表明常用评估高估实际性能，融合可能降低而非提升鲁棒性。

Comments 20 pages, 6 figures

Lessons Learned from the Real-World Deployment of Multi-Sensor Fusion for Proactive Work Zone Safety Application

Minhaj Uddin Ahmad, Sagar Dasgupta, Mizanur Rahman, Sakib Khan, Md Wasiul Haque, Suhala Rabab Saba, David Bodoh, Nathan Huynh, Li Zhao, Eren Erman Ozguven

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

CurbScan: Curb Detection and Tracking Using Multi-Sensor Fusion

Iljoo Baek, Tzu-Chieh Tai, Manoj Bhat, Karun Ellango, Tarang Shah, Kamal Fuseini, Ragunathan, Rajkumar

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

Comments Accepted to IEEE ITSC-2020 conference

Data Sensor Fusion In Digital Twin Technology For Enhanced Capabilities In A Home Environment

Benjamin Momoh, Salisu Yahaya

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

Real-Time Roadway Obstacle Detection for Electric Scooters Using Deep Learning and Multi-Sensor Fusion

Zeyang Zheng, Arman Hosseini, Dong Chen, Omid Shoghli, Arsalan Heydarian

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

Comments Accepted at ASCE International Conference on Computing in Civil Engineering (i3ce)

Robust Multi-Modal Sensor Fusion: An Adversarial Approach

Siddharth Roheda, Hamid Krim, Benjamin S. Riggan

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

Multi-Sensor Fusion for UAV Classification Based on Feature Maps of Image and Radar Data

基于图像和雷达数据特征图的多传感器融合无人机分类

Nikos Sakellariou, Antonios Lalas, Konstantinos Votis, Dimitrios Tzovaras

机构 * Information Technologies Institute（信息科技研究所） ； Centre for Research & Technology – Hellas（希腊研究中心） ； Thessaloniki, Greece（塞萨洛尼基，希腊） 纠错

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

AI总结 提出一种融合热成像、光电和雷达数据特征的多传感器深度学习网络，通过堆叠图像特征提高无人机分类精度。

Comments 10 pages, 6 figures

Multi-Sensor Fusion for Extended Object Tracking Exploiting Active and Passive Radio Signals

多传感器融合用于扩展目标跟踪：利用主动和被动无线电信号

Hong Zhu, Alexander Venus, Erik Leitinger, Klaus Witrisal

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

AI总结 本文提出一种基于贝叶斯方法的多传感器融合算法，用于在部分遮挡线状视图的情况下实现精确定位，通过融合主动和被动雷达型测量来提高鲁棒性。

Comments Added experimental validation

Consistent Pose Estimation of Unmanned Ground Vehicles through Terrain-Aided Multi-Sensor Fusion on Geometric Manifolds

通过几何流形上的地形辅助多传感器融合实现无人地面车辆的一致姿态估计

Alexander Raab, Stephan Weiss, Alessandro Fornasier, Christian Brommer, Abdalrahman Ibrahim

机构 * AGILOX Services GmbH（AGILOX服务公司） ； Control of Networked Systems Group, University of Klagenfurt（网络化系统控制组，克雷格福特大学） 纠错

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

AI总结 本文提出了一种基于几何流形的多传感器融合方法，通过地形辅助提升无人地面车辆姿态估计的一致性和准确性，无需特定场景参数调优。

Journal ref 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Multi-Sensor Fusion for Quadruped Robot State Estimation using Invariant Filtering and Smoothing

Ylenia Nisticò, Hajun Kim, João Carlos Virgolino Soares, Geoff Fink, Hae-Won Park, Claudio Semini

机构 * Dynamic Legged Systems (DLS), Istituto Italiano di Tecnologia (IIT)（动态腿系统（DLS）、意大利技术研究院（IIT）） ； Korean Advanced Institute of Science and Technology (KAIST)（韩国先进科学研究院（KAIST）） ； Department of Engineering, Thompson Rivers University（工程系，汤普森河大学） 纠错

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 for publication in IEEE Robotics and Automation Letters

Multi-Sensor Fusion of Active and Passive Measurements for Extended Object Tracking

Hong Zhu, Alexander Venus, Erik Leitinger, Klaus Witrisal

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

HawkRover: An Autonomous mmWave Vehicular Communication Testbed with Multi-sensor Fusion and Deep Learning

Ethan Zhu, Haijian Sun, Mingyue Ji

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 submitted to IEEE conferences for future publications

Indoor Localization for an Autonomous Model Car: A Marker-Based Multi-Sensor Fusion Framework

Xibo Li, Shruti Patel, David Stronzek-Pfeifer, Christof Büskens

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

onlineFGO: Online Continuous-Time Factor Graph Optimization with Time-Centric Multi-Sensor Fusion for Robust Localization in Large-Scale Environments

Haoming Zhang, Felix Widmayer, Lars Lünnemann, Dirk Abel

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 A major revision of this paper is available, which will be submitted to arXiv later

Kraken: A Direct Event/Frame-Based Multi-sensor Fusion SoC for Ultra-Efficient Visual Processing in Nano-UAVs

Alfio Di Mauro, Moritz Scherer, Davide Rossi, Luca Benini

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