多模态信息融合

Probabilistic Sensor Fusion for Ambient Assisted Living

Tom Diethe, Niall Twomey, Meelis Kull, Peter Flach, Ian Craddock

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

Comments Journal article. 19 pages; 7 figures

Motion model transitions in GPS-IMU sensor fusion for user tracking in augmented reality

Erkan Bostanci

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

Comments 8 pages, journal

Sensor fusion for bimodal generalized likelihood ratio test with unknown noise variances

Boris N. Oreshkin, Ekaterina Turkina

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

One-bit Decentralized Detection with a Rao Test for Multisensor Fusion

D. Ciuonzo, G. Papa, G. Romano, P. Salvo Rossi, P. K. Willett

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

Comments To appear in IEEE Signal Processing Letters

Journal ref IEEE Signal Processing Letters, vol. 20, no. 9, pp. 861-864, September 2013

Time/Computationally Optimal Network Architecture: Wireless Sensor Fusion

Gadi Gayathri Devi, Priya Kumari, Eslavath Jyoshna, Deepika, Garimella Rama Murthy

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

Exploiting Real-Time FPGA Based Adaptive Systems Technology for Real-Time Sensor Fusion in Next Generation Automotive Safety Systems

Steve Chappell, Alistair Macarthur, Dan Preston, Dave Olmstead, Bob Flint, Chris Sullivan

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

Comments Submitted on behalf of EDAA (http://www.edaa.com/)

Journal ref Dans Design, Automation and Test in Europe | Designers'Forum - DATE'05, Munich : Allemagne (2005)

An In-Depth Look at Information Fusion Rules & the Unification of Fusion Theories

Florentin Smarandache

专题命中 机器人多传感器融合 ：information fusion(title,abstract)

Comments 27 pages. To be presented at NASA Langley Research Center (Hampton, Virginia), on November 5th, 2004

Journal ref Partially published in Review of the Air Force Academy (The Scientific Informative Review), Brasov, No. 2, pp. 31-40, 2006.

MIPI 2022 Challenge on RGBW Sensor Fusion: Dataset and Report

Qingyu Yang, Guang Yang, Jun Jiang, Chongyi Li, Ruicheng Feng, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Chen Change Loy, Jinwei Gu

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

Comments ECCV 2022 Mobile Intelligent Photography and Imaging (MIPI) Workshop--RGBW Sensor Fusion Challenge Report. MIPI workshop website: http://mipi-challenge.org/. arXiv admin note: substantial text overlap with arXiv:2209.07060

Triple Spectral Fusion for Sensor-based Human Activity Recognition

三频谱融合用于基于传感器的人体活动识别

Ye Zhang, Longguang Wang, Qing Gao, Chaocan Xiang, Mohammed Bennamoun, Yulan Guo

机构 * School of Electronics and Communication Engineering, the Shenzhen Campus of Sun Yat-sen University（南方科技大学深圳校区电子与通信工程学院） ； Aviation University of Air Force（空军航空大学） ； College of Computer Science, Chongqing University（重庆大学计算机学院） ； Department of Computer Science and Software Engineering, the University of Western Australia（西澳大学计算机科学与软件工程系） 纠错

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

AI总结 本文提出三频谱融合框架，通过自适应滤波和图傅里叶变换提升传感器数据融合与长期上下文关联性，实验表明其在多个基准数据集上表现优异。

Multimodal Fusion for Sim2real Transfer in Visual Reinforcement Learning

多模态融合用于视觉强化学习中的仿真到现实迁移

Zichun Xu, Jingdong Zhao, Chenyu Guo, Qianxue Zhang, Liao Zhang, Xiao Zhang, Yiming Ren, Lian Zhang, Zengren Zhao

机构 * Medical Artificial Intelligence Lab, The First Hospital of Hebei Medical University, Hebei Medical University（医学人工智能实验室，河北医科大学第一医院，河北医科大学） ； State Key Laboratory of Robotics and Systems, Harbin Institute of Technology（机器人系统国家重点实验室，哈尔滨工业大学） 纠错

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

AI总结 本文提出基于视觉变换器的多模态融合框架，通过融合RGB和深度信息提升泛化能力，并设计对比学习方案和课程式域随机化方案以提高样本效率和迁移性能，实验结果表明该方法在现实任务中表现优异。

Real-Time Human Activity Recognition on Edge Microcontrollers: Dynamic Hierarchical Inference with Multi-Spectral Sensor Fusion

边缘微控制器上的实时人类活动识别：基于多光谱传感器融合的动态分层推理

Boyu Li, Kuangji Zuo, Lincong Li, Yonghui Wu

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

AI总结 HPPI-Net通过多光谱传感器融合和分层推理实现边缘微控制器上的实时人类活动识别，提升准确率并降低资源消耗。

Comments 24 pages, 6 figures. The manusrcipt is under review at Measurement

Real-Time Glass Detection and Reprojection using Sensor Fusion Onboard Aerial Robots

Malakhi Hopkins, Varun Murali, Vijay Kumar, Camillo J Taylor

机构 * ARL DCIST CRA ； NSF Grant CCR-2112665（NSF CCR-2112665） ； NSF Graduate Research Fellowship Grant No. DGE-1845298（NSF DGE-1845298） ； IoT4Ag Engineering Research Center 纠错

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

Comments 8 pages, 8 figures, submitted to ICRA 2026

Velocity Driven Vision: Asynchronous Sensor Fusion Birds Eye View Models for Autonomous Vehicles

Seamie Hayes, Sushil Sharma, Ciarán Eising

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

Comments This paper is a preprint of a paper submitted to the 26th Irish Machine Vision and Image Processing Conference (IMVIP 2024). If accepted, the copy of record will be available at IET Digital Library

Journal ref Proceedings of the Irish Machine Vision and Image Processing Conference 2024

Enhancing Track Management Systems with Vehicle-To-Vehicle Enabled Sensor Fusion

Thomas Billington, Ansh Gwash, Aadi Kothari, Lucas Izquierdo, Timothy Talty

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

Comments 6 pages, 5 figures

Self-Corrective Sensor Fusion for Drone Positioning in Indoor Facilities

Francisco Javier González-Castaño, Felipe Gil-Castiñeira, David Rodríguez-Pereira, José Ángel Regueiro-Janeiro, Silvia García-Méndez, David Candal-Ventureira

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

Efficient Gesture Recognition on Spiking Convolutional Networks Through Sensor Fusion of Event-Based and Depth Data

Lea Steffen, Thomas Trapp, Arne Roennau, Rüdiger Dillmann

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

Comments Accepted to IEEE International Conference on Robotics and Automation (ICRA 2024)

DFR-FastMOT: Detection Failure Resistant Tracker for Fast Multi-Object Tracking Based on Sensor Fusion

Mohamed Nagy, Majid Khonji, Jorge Dias, Sajid Javed

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

Comments \c{opyright} 2023 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

Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic Segmentation

Hannah Schieber, Fabian Duerr, Torsten Schoen, Jürgen Beyerer

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

Comments conditionally accepted at IEEE IV 2022, 7 pages, 4 figures, 5 tables

Attention-Based Sensor Fusion for Human Activity Recognition Using IMU Signals

Wenjin Tao, Haodong Chen, Md Moniruzzaman, Ming C. Leu, Zhaozheng Yi, Ruwen Qin

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

EagerMOT: 3D Multi-Object Tracking via Sensor Fusion

Aleksandr Kim, Aljoša Ošep, Laura Leal-Taixé

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

Comments To be published at ICRA 2021. Source code available at https://github.com/aleksandrkim61/EagerMOT

Camera-Lidar Integration: Probabilistic sensor fusion for semantic mapping

Julie Stephany Berrio, Mao Shan, Stewart Worrall, Eduardo Nebot

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

Comments 15 pages. arXiv admin note: text overlap with arXiv:2003.01871

High Precision In-Pipe Robot Localization with Reciprocal Sensor Fusion

Dapeng Zhao, William Whittaker

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

Comments 12 pages, "Superior Paper Award" on WM Symposia 2019

Journal ref Waste Management Symposium, Phoenix US, Mar 3-7, #19516, WM Symposia (2019)

Semantic sensor fusion: from camera to sparse lidar information

Julie Stephany Berrio, Mao Shan, Stewart Worrall, James Ward, Eduardo Nebot

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

Comments 8 pages, this paper was submitted to ITSC 2020

Choosing Smartly: Adaptive Multimodal Fusion for Object Detection in Changing Environments

Oier Mees, Andreas Eitel, Wolfram Burgard

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

Comments Published at the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems. Added a new baseline with respect to the IROS version. Project page with code, pretrained models and our InOutDoorPeople RGB-D dataset at http://adaptivefusion.cs.uni-freiburg.de/

Deep Sensor Fusion for Real-Time Odometry Estimation

Michelle Valente, Cyril Joly, Arnaud de La Fortelle

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

Comments arXiv admin note: substantial text overlap with arXiv:1902.08536

Towards Self-Supervised High Level Sensor Fusion

Qadeer Khan, Torsten Schön, Patrick Wenzel

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

Sensor Fusion of Camera, GPS and IMU using Fuzzy Adaptive Multiple Motion Models

Erkan Bostanci, Betul Bostanci, Nadia Kanwal, Adrian F. Clark

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

Comments 14 pages, journal

Pan-Tilt Camera and PIR Sensor Fusion Based Moving Object Detection for Mobile Security Robots

YongChol Sin, MyongSong Choe, GyongIl Ryang

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

Comments 13 pages,5 figures

Integrating Generic Sensor Fusion Algorithms with Sound State Representations through Encapsulation of Manifolds

Christoph Hertzberg, René Wagner, Udo Frese, Lutz Schröder

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

Human-Inspired Framework for Robotic Craniotomy: Integrating Multimodal Fusion and Adaptive Trajectory Adjustment

用于机器人开颅手术的受人类启发框架：集成多模态融合与自适应轨迹调整

Renzhen Le, Xiao Zhang, Di Wu, Yuanyu Wei, Jiachen Zhu, Zhenzhi Ying, Pengfei Zhang, Liming Shu

机构 * Dalian University of Technology（大连理工大学） ； The University of Tokyo（东京大学） 纠错

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

AI总结 该研究针对机器人开颅手术问题，提出受人类启发的闭环框架，集成术前规划与术中执行。采用自适应双轮廓融合算法生成轨迹，利用多模态网络融合信号实现突破检测，通过原位投影策略调整轨迹，实验验证该框架能实现安全自主且高效闭环控制的开颅手术。