多模态信息融合

DifFUSER: Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation

Duy-Tho Le, Hengcan Shi, Jianfei Cai, Hamid Rezatofighi

专题命中 自动驾驶多传感器融合 ：sensor fusion(title,abstract)；multi-sensor fusion(title,abstract)；multi-modal fusion(abstract)；分类 cs.CV

Comments ECCV 2024

OccFusion: Depth Estimation Free Multi-sensor Fusion for 3D Occupancy Prediction

Ji Zhang, Yiran Ding, Zixin Liu

专题命中 自动驾驶多传感器融合 ：sensor fusion(title,abstract)；multi-sensor fusion(title,abstract)；multi-modal fusion(abstract)；分类 cs.CV

GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving

Shuai Liu, Quanmin Liang, Zefeng Li, Boyang Li, Kai Huang

机构 * School of Computer Science and Engineering, Sun Yat-sen University（计算机科学与工程学院，中山大学） 纠错

专题命中 自动驾驶多传感器融合 ：sensor fusion(title,abstract)；multi-sensor fusion(title,abstract)；分类 cs.CV、cs.RO

Comments Accepted at NeurIPS2025 (Spotlight)

MSF3DDETR: Multi-Sensor Fusion 3D Detection Transformer for Autonomous Driving

Gopi Krishna Erabati, Helder Araujo

专题命中 自动驾驶多传感器融合 ：sensor fusion(title,abstract)；multi-sensor fusion(title,abstract)；分类 cs.CV、cs.RO

Comments Accepted at the ICPR 2022 Workshop DLVDR2022

DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy Prediction

Zhen Yang, Yanpeng Dong, Jiayu Wang, Heng Wang, Lichao Ma, Zijian Cui, Qi Liu, Haoran Pei, Kexin Zhang, Chao Zhang

机构 * Beijing Mechanical Equipment Institute（北京机械设备研究所） 纠错

专题命中 自动驾驶多传感器融合 ：sensor fusion(title,abstract)；multi-sensor fusion(title,abstract)；分类 cs.CV

Comments TCSVT Accepted version (not the final published version)

Journal ref IEEE Transactions on Circuits and Systems for Video Technology, 2025, Print ISSN: 1051-8215, Online ISSN: 1558-2205

Testing the Fault-Tolerance of Multi-Sensor Fusion Perception in Autonomous Driving Systems

Haoxiang Tian, Wenqiang Ding, Xingshuo Han, Guoquan Wu, An Guo, Junqi Zhang. Wei Chen, Jun Wei, Tianwei Zhang

机构 * Institute of Software Chinese Academy of Sciences（中国科学院软件研究所） ； Nanyang Technological University（南洋理工大学） ； University of CAS, Nanjing（中国科学院大学南京分校） ； Nanjing Institute of Software Technology, University of CAS, Nanjing（中国科学院南京软件技术研究所） ； Continental-NTU Corporate Lab（Continental-NTU企业实验室） ； University of Science and Technology of China（中国科学技术大学） 纠错

专题命中 自动驾驶多传感器融合 ：sensor fusion(title,abstract)；multi-sensor fusion(title,abstract)；分类 cs.RO

Minimizing Occlusion Effect on Multi-View Camera Perception in BEV with Multi-Sensor Fusion

Sanjay Kumar, Hiep Truong, Sushil Sharma, Ganesh Sistu, Tony Scanlan, Eoin Grua, Ciarán Eising

专题命中 自动驾驶多传感器融合 ：sensor fusion(title,abstract)；multi-sensor fusion(title,abstract)；分类 cs.CV

Comments Accepted form publishing at the Electronic Imaging - Autonomous Vehicles and Machines Conference

Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks

Yulong Cao*, Ningfei Wang*, Chaowei Xiao*, Dawei Yang*, Jin Fang, Ruigang Yang, Qi Alfred Chen, Mingyan Liu, Bo Li

专题命中 自动驾驶多传感器融合 ：sensor fusion(title,abstract)；multi-sensor fusion(title,abstract)；分类 cs.CV

Comments Accepted by IEEE S&P 2021

Towards Compact Autonomous Driving Perception with Balanced Learning and Multi-sensor Fusion

面向紧凑型自动驾驶感知的平衡学习与多传感器融合

Oskar Natan, Jun Miura

机构 * Department of Computer Science and Engineering, Toyohashi University of Technology（计算机科学与工程系，丰田寺大学） ； Department of Computer Science and Electronics, Gadjah Mada University（计算机科学与电子系，加查马达大学） 纠错

专题命中 自动驾驶多传感器融合 ：sensor fusion(title,abstract)；multi-sensor fusion(title)；分类 cs.CV、cs.RO

AI总结 提出一种紧凑的深度多任务学习模型，通过自适应损失加权和中间传感器融合技术，在单次前向传播中同时处理语义分割、深度估计、激光雷达分割和鸟瞰投影，实现高效自动驾驶感知。

Comments This work has been accepted for publication in IEEE Transactions on Intelligent Transportation Systems. https://ieeexplore.ieee.org/document/9712213

OccFusion: Multi-Sensor Fusion Framework for 3D Semantic Occupancy Prediction

Zhenxing Ming, Julie Stephany Berrio, Mao Shan, Stewart Worrall

专题命中 自动驾驶多传感器融合 ：sensor fusion(title,abstract)；multi-sensor fusion(title)；分类 cs.CV、cs.RO

mmFUSION: Multimodal Fusion for 3D Objects Detection

Javed Ahmad, Alessio Del Bue

专题命中 自动驾驶多传感器融合 ：multimodal fusion(title)；multi-modal fusion(abstract)；sensor fusion(abstract)；multi-sensor fusion(abstract)

Comments 10 pages,

Bridging the View Disparity Between Radar and Camera Features for Multi-modal Fusion 3D Object Detection

Taohua Zhou, Yining Shi, Junjie Chen, Kun Jiang, Mengmeng Yang, Diange Yang

专题命中 自动驾驶多传感器融合 ：multi-modal fusion(title,abstract)；sensor fusion(abstract)；feature-level fusion(abstract)；分类 cs.CV

Comments 12 pages,6 figures

Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

Aditya Prakash, Kashyap Chitta, Andreas Geiger

专题命中 自动驾驶多传感器融合 ：multi-modal fusion(title,abstract)；sensor fusion(abstract)；分类 cs.CV、cs.RO

Comments CVPR 2021

GaussianFusion: Unified 3D Gaussian Representation for Multi-Modal Fusion Perception

GaussianFusion：用于多模态融合感知的统一3D高斯表示

Xiao Zhao, Chang Liu, Mingxu Zhu, Zheyuan Zhang, Linna Song, Qingliang Luo, Chufan Guo, Kuifeng Su

机构 * Tencent, Autonomous Driving Lab（腾讯自动驾驶实验室） 纠错

专题命中 自动驾驶多传感器融合 ：multi-modal fusion(title,abstract)；multimodal fusion(abstract)；分类 cs.CV

AI总结 提出基于3D高斯表示的多模态融合框架GaussianFusion，通过连续3D高斯空间统一多模态特征，保留细节，支持多种3D感知任务，在nuScenes上检测NDS提升2.6，占用预测mIoU提升1.55且速度提升450%。

Comments ICLR 2026

SAMFusion: Sensor-Adaptive Multimodal Fusion for 3D Object Detection in Adverse Weather

Edoardo Palladin, Roland Dietze, Praveen Narayanan, Mario Bijelic, Felix Heide

机构 * Torc Robotics（Torc机器人公司） ； University of Stuttgart（斯图加特大学） ； Princeton University（普林斯顿大学） 纠错

专题命中 自动驾驶多传感器融合 ：multimodal fusion(title)；sensor fusion(abstract)；multi-sensor fusion(abstract)；分类 cs.CV

GaussianFusionOcc: A Seamless Sensor Fusion Approach for 3D Occupancy Prediction Using 3D Gaussians

Tomislav Pavković, Mohammad-Ali Nikouei Mahani, Johannes Niedermayer, Johannes Betz

机构 * Technical University of Munich（慕尼黑技术大学） ； BMW Group（宝马集团） ； Munich Institute of Robotics and Machine Intelligence（慕尼黑机器人与智能机械研究所） 纠错

专题命中 自动驾驶多传感器融合 ：sensor fusion(title,abstract)；multi-modal fusion(abstract)；分类 cs.CV

BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation

Hiep Truong Cong, Ajay Kumar Sigatapu, Arindam Das, Yashwanth Sharma, Venkatesh Satagopan, Ganesh Sistu, Ciaran Eising

专题命中 自动驾驶多传感器融合 ：multimodal fusion(title,abstract)；sensor fusion(abstract)；分类 cs.CV

Comments In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (2025)

Progressive Multi-Modal Fusion for Robust 3D Object Detection

Rohit Mohan, Daniele Cattaneo, Florian Drews, Abhinav Valada

专题命中 自动驾驶多传感器融合 ：multi-modal fusion(title)；sensor fusion(abstract)；multi-sensor fusion(abstract)；分类 cs.CV

Journal ref 8th Annual Conference on Robot Learning, 2024

Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement Learning

Amin Jalal Aghdasian, Amirhossein Heydarian Ardakani, Kianoush Aqabakee, Farzaneh Abdollahi

专题命中 自动驾驶多传感器融合 ：sensor fusion(title,abstract)；information fusion(abstract)

Comments Accepted Paper on International Conference on Robotics and Mechatronics (ICROM, 2023)

A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective

Huaiyuan Xu, Junliang Chen, Shiyu Meng, Yi Wang, Lap-Pui Chau

专题命中 自动驾驶多传感器融合 ：information fusion(title,abstract)；分类 cs.CV、cs.RO

Journal ref Information Fusion, 2024

Radar Guided Camera Verification for Automatic Emergency Braking Rethinking Object Detection in Radar Camera Fusion

雷达引导的自动紧急制动摄像头验证：重新思考雷达摄像头融合中的目标检测

Ram Charan Akula, Sivanathan Kandhasamy, Manikandan Ganesan

机构 * Autonomous Systems Lab, Department of Mechatronics Engineering, SRM Institute of Science and Technology（SRM科学与技术学院机电工程系自主系统实验室） ； Centre for Electric Mobility, Department of EEE, SRM Institute of Science and Technology（SRM科学与技术学院电气与电子工程系电动出行中心） 纠错

专题命中 自动驾驶多传感器融合 ：radar camera fusion(title,abstract)；分类 cs.CV、cs.RO

AI总结 提出一种雷达引导的边缘密度门控方法，在无需训练数据和GPU的情况下，通过缩小摄像头搜索空间实现高效障碍物验证，在真实车辆测试中达到98.7%的搜索空间缩减和零漏刹。

Comments 8 pages, 8 figures

OccCylindrical: Multi-Modal Fusion with Cylindrical Representation for 3D Semantic Occupancy Prediction

Zhenxing Ming, Julie Stephany Berrio, Mao Shan, Yaoqi Huang, Hongyu Lyu, Nguyen Hoang Khoi Tran, Tzu-Yun Tseng, Stewart Worrall

机构 * Australian Centre for Robotics (ACFR) at the University of Sydney（澳大利亚机器人中心（ACFR）于悉尼大学） 纠错

专题命中 自动驾驶多传感器融合 ：multi-modal fusion(title)；sensor fusion(abstract)；分类 cs.CV、cs.RO

M2DA: Multi-Modal Fusion Transformer Incorporating Driver Attention for Autonomous Driving

Dongyang Xu, Haokun Li, Qingfan Wang, Ziying Song, Lei Chen, Hanming Deng

专题命中 自动驾驶多传感器融合 ：multi-modal fusion(title,abstract)；分类 cs.CV、cs.RO

Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer

Hao Shao, Letian Wang, RuoBing Chen, Hongsheng Li, Yu Liu

专题命中 自动驾驶多传感器融合 ：sensor fusion(title,abstract)；分类 cs.CV、cs.RO

Comments Accepted at CoRL 2022

TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving

Kashyap Chitta, Aditya Prakash, Bernhard Jaeger, Zehao Yu, Katrin Renz, Andreas Geiger

专题命中 自动驾驶多传感器融合 ：sensor fusion(title,abstract)；分类 cs.CV、cs.RO

Comments arXiv admin note: text overlap with arXiv:2104.09224

End-to-End 3-D Spatiotemporal Perception with Multimodal Fusion and V2X Collaboration

端到端3D时空感知与多模态融合及V2X协作

Zhenwei Yang, Yibo Ai, Weidong Zhang

机构 * National Center for Materials Service Safety（材料服务安全国家中心） ； University of Science and Technology Beijing（北京科技大学） 纠错

专题命中 自动驾驶多传感器融合 ：multimodal fusion(title,abstract)；分类 cs.CV

AI总结 XET-V2X通过多模态融合与V2X协作，实现端到端3D时空感知，提升复杂交通场景下的检测与跟踪性能。

Comments 21 pages, 10 figures

Journal ref IEEE Internet of Things Journal, vol. 13, no. 15, pp. 33456-33475, 1 Aug.1, 2026

CAMF-Det: Closure-Aware Multimodal Fusion for LiDAR-Camera 3D Object Detection on UAV Platforms

CAMF-Det: 面向无人机平台的激光雷达-相机闭合感知多模态融合3D目标检测

Yanze Jiang, Yanfeng Gu, Xian Li

机构 * School of Electronics and Information Engineering, Harbin Institute of Technology（哈尔滨工业大学电子与信息工程学院） 纠错

专题命中 自动驾驶多传感器融合 ：multimodal fusion(title,abstract)；分类 cs.CV

AI总结 针对无人机俯视场景中树冠遮挡导致的多模态信息退化问题，提出基于比尔-朗伯定律的闭合感知融合框架CAMF-Det，通过显式建模双模态遮挡强度并注入检测流程，在自建数据集上实现困难级别mAP_BEV提升9.43%和4.88%。

Multi-Modal Sensor Fusion using Hybrid Attention for Autonomous Driving

多模态传感器融合使用混合注意力用于自动驾驶

Mayank Mayank, Bharanidhar Duraisamy, Florian Geiß, Abhinav Valada

机构 * Mercedes-Benz AG（梅赛德斯-奔驰集团） ； University of Freiburg（弗莱堡大学） 纠错

专题命中 自动驾驶多传感器融合 ：sensor fusion(title)；hybrid fusion(abstract)；分类 cs.CV

AI总结 本文提出MMF-BEV框架，通过变形注意力实现雷达与摄像头BEV融合，通过传感器贡献分析验证传感器互补性，并在VoD数据集上优于单模态基线。

Comments 9 pages, 8 figures

DriveAgent: Multi-Agent Structured Reasoning with LLM and Multimodal Sensor Fusion for Autonomous Driving

Xinmeng Hou, Wuqi Wang, Long Yang, Hao Lin, Jinglun Feng, Haigen Min, Xiangmo Zhao

机构 * Chang’an University（长安大学） ； Agency for Science, Technology and Research (A*STAR)（科技研究局） ； University of California, Davis（加州大学戴维斯分校） ； CCNY Robotics Lab, The City College of New York（纽约城市学院机器人实验室） 纠错

专题命中 自动驾驶多传感器融合 ：sensor fusion(title,abstract)；分类 cs.RO

Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving

Yang Lou, Qun Song, Qian Xu, Rui Tan, Jianping Wang

专题命中 自动驾驶多传感器融合 ：multi-modal fusion(title,abstract)；分类 cs.CV

Comments In proceedings of the 26th European Conference on Artificial Intelligence ECAI 2023. 8 pages + 2 appendix pages