多模态信息融合

Enabling Efficient Deep Convolutional Neural Network-based Sensor Fusion for Autonomous Driving

Xiaoming Zeng, Zhendong Wang, Yang Hu

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

Radar Camera Fusion via Representation Learning in Autonomous Driving

Xu Dong, Binnan Zhuang, Yunxiang Mao, Langechuan Liu

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

Journal ref In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 1672-1681. 2021

Risk Prediction on Traffic Accidents using a Compact Neural Model for Multimodal Information Fusion over Urban Big Data

Wenshan Wang, Su Yang, Weishan Zhang

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

LCF3D: A Robust and Real-Time Late-Cascade Fusion Framework for 3D Object Detection in Autonomous Driving

LCF3D: 一种用于自动驾驶中3D物体检测的鲁棒且实时的后期级联融合框架

Carlo Sgaravatti, Riccardo Pieroni, Matteo Corno, Sergio M. Savaresi, Luca Magri, Giacomo Boracchi

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

AI总结 LCF3D通过结合RGB图像和LiDAR点云的后期级联融合方法，提升自动驾驶中3D物体检测的鲁棒性和实时性。

Comments 35 pages, 14 figures. Published at Pattern Recognition

Track-to-Track Association for Collective Perception based on Stochastic Optimization

Laura M. Wolf, Vincent Albert Wolff, Simon Steuernagel, Kolja Thormann, Marcus Baum

机构 * Institute of Computer Science, University of Göttingen（计算机科学研究所，哥廷根大学） ； Institute of Communications Technology, Leibniz University Hannover（通信技术研究所，莱比锡大学汉诺威分校） ； University of Göttingen（哥廷根大学） 纠错

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

Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey

Yan Gong, Naibang Wang, Jianli Lu, Xinyu Zhang, Yongsheng Gao, Jie Zhao, Zifan Huang, Haozhi Bai, Nanxin Zeng, Nayu Su, Lei Yang, Ziying Song, Xiaoxi Hu, Xinmin Jiang, Xiaojuan Zhang, Susanto Rahardja

机构 * State Key Laboratory of Robotics and System（机器人系统国家重点实验室） ； Harbin Institute of Technology（哈尔滨工业大学） ； State Key Laboratory of Intelligent Green Vehicle and Mobility（智能绿色车辆与移动性国家重点实验室） ； Tsinghua University（清华大学） ； the School of Mechanical and Aerospace Engineering（机械与航空航天工程学院） ； Nanyang Technological University（南洋理工大学） ； Beijing Key Laboratory of Traffic Data Mining and Embodied Intelligence（北京交通数据挖掘与具身智能重点实验室） ； Beijing Jiaotong University（北京交通大学） ； the Institute for Infocomm Research（信息通信研究所） ； A*STAR ； the Engineering Cluster（工程集群） ； the Singapore Institute of Technology（新加坡理工学院） 纠错

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

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving

Yi Zhang, Erik Leo Haß, Kuo-Yi Chao, Nenad Petrovic, Yinglei Song, Chengdong Wu, Alois Knoll

机构 * Chair of Robotics, Artificial Intelligence and Embedded Systems Technical University of Munich (TUM)（机器人、人工智能与嵌入系统教授席 Technical University of Munich） 纠错

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

MSC-Bench: Benchmarking and Analyzing Multi-Sensor Corruption for Driving Perception

Xiaoshuai Hao, Guanqun Liu, Yuting Zhao, Yuheng Ji, Mengchuan Wei, Haimei Zhao, Lingdong Kong, Rong Yin, Yu Liu

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

The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition

Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Yaru Niu, Wei Tsang Ooi, Benoit R. Cottereau, Lai Xing Ng, Yuexin Ma, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Weichao Qiu, Wei Zhang, Xu Cao, Hao Lu, Ying-Cong Chen, Caixin Kang, Xinning Zhou, Chengyang Ying, Wentao Shang, Xingxing Wei, Yinpeng Dong, Bo Yang, Shengyin Jiang, Zeliang Ma, Dengyi Ji, Haiwen Li, Xingliang Huang, Yu Tian, Genghua Kou, Fan Jia, Yingfei Liu, Tiancai Wang, Ying Li, Xiaoshuai Hao, Yifan Yang, Hui Zhang, Mengchuan Wei, Yi Zhou, Haimei Zhao, Jing Zhang, Jinke Li, Xiao He, Xiaoqiang Cheng, Bingyang Zhang, Lirong Zhao, Dianlei Ding, Fangsheng Liu, Yixiang Yan, Hongming Wang, Nanfei Ye, Lun Luo, Yubo Tian, Yiwei Zuo, Zhe Cao, Yi Ren, Yunfan Li, Wenjie Liu, Xun Wu, Yifan Mao, Ming Li, Jian Liu, Jiayang Liu, Zihan Qin, Cunxi Chu, Jialei Xu, Wenbo Zhao, Junjun Jiang, Xianming Liu, Ziyan Wang, Chiwei Li, Shilong Li, Chendong Yuan, Songyue Yang, Wentao Liu, Peng Chen, Bin Zhou, Yubo Wang, Chi Zhang, Jianhang Sun, Hai Chen, Xiao Yang, Lizhong Wang, Dongyi Fu, Yongchun Lin, Huitong Yang, Haoang Li, Yadan Luo, Xianjing Cheng, Yong Xu

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

Comments ICRA 2024; 32 pages, 24 figures, 5 tables; Code at https://robodrive-24.github.io/

Automatic Odometry-Less OpenDRIVE Generation From Sparse Point Clouds

Leon Eisemann, Johannes Maucher

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

Comments 8 pages, 4 figures, 3 algorithms, 2 tables

Journal ref 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)

RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving

Khaled El Madawy, Hazem Rashed, Ahmad El Sallab, Omar Nasr, Hanan Kamel, Senthil Yogamani

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

Comments Accepted for Oral Presentation at IEEE Intelligent Transportation Systems Conference (ITSC) 2019

EV-STLLM: Electric vehicle charging forecasting based on spatio-temporal large language models with multi-frequency and multi-scale information fusion

Hang Fan, Yunze Chai, Chenxi Liu, Weican Liu, Zuhan Zhang, Wencai Run, Dunnan Liu

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

Fuse and Federate: Enhancing EV Charging Station Security with Multimodal Fusion and Federated Learning

Rabah Rahal, Abdelaziz Amara Korba, Yacine Ghamri-Doudane

机构 * Rabah Rahal Networks and Systems Laboratory (LRS), Badji Mokhtar Annaba University, Algeria（拉比·拉尔实验室，巴吉·莫克塔尔安纳巴大学，阿尔及利亚） ； Abdelaziz Amara korba Networks and Systems Laboratory (LRS), Badji Mokhtar Annaba University, Algeria（阿卜杜勒阿齐兹·阿马拉·科尔巴实验室，巴吉·莫克塔尔安纳巴大学，阿尔及利亚） ； L3I, University of La Rochelle, France（L3I，拉罗歇尔大学，法国） 纠错

专题命中 自动驾驶多传感器融合 ：multimodal fusion(title)

Deep Information Fusion for Electric Vehicle Charging Station Occupancy Forecasting

Ashutosh Sao, Nicolas Tempelmeier, Elena Demidova

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

Journal ref 24th IEEE International Conference on Intelligent Transportation Systems - ITSC2021

Facilitating Connected Autonomous Vehicle Operations Using Space-weighted Information Fusion and Deep Reinforcement Learning Based Control

Jiqian Dong, Sikai Chen, Yujie Li, Runjia Du, Aaron Steinfeld, Samuel Labi

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

FogDrive: A Multi-Modal Synthetic Driving Dataset for Perception under Graded Fog

FogDrive：用于分级雾天感知的多模态合成驾驶数据集

Vansh Panwar

机构 * Indian Institute of Technology, Guwahati（印度理工学院古瓦哈提分校） 纠错

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

AI总结 FogDrive是用于分级雾天感知的多模态合成驾驶数据集，基于CARLA模拟器构建，含多种传感器数据，模拟不同密度雾。通过跨两种范式建立基线基准，得出训练中混合多密度雾可收紧3D边界框几何形状等见解，将开源加速多模态研究。

LRC-WeatherNet: LiDAR, RADAR, and Camera Fusion Network for Real-time Weather-type Classification in Autonomous Driving

LRC-WeatherNet：用于自动驾驶中实时天气类型分类的激光雷达、雷达和摄像头融合网络

Nour Alhuda Albashir, Lars Pernickel, Danial Hamoud, Idriss Gouigah, Eren Erdal Aksoy

机构 * Halmstad University, School of Information Technology, Center for Applied Intelligent Systems Research（哈姆斯塔德大学，信息科技学院，应用智能系统研究中心） 纠错

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

AI总结 本文提出LRC-WeatherNet，通过融合激光雷达、雷达和摄像头数据，实现在恶劣天气下的实时天气分类，优于单一传感器基线，且在MSU-4S数据集上表现优异。

Comments Accepted for publication at IEEE Intelligent Vehicles Symposium - IVS 2026

FIN: Fast Inference Network for Map Segmentation

Ruan Bispo, Tim Brophy, Reenu Mohandas, Anthony Scanlan, Ciarán Eising

机构 * Department of Electronic and Computer Engineering, University of Limerick（电子与计算机工程系，利默里克大学） ； Data Driven Computer Engineering Research Centre, University of Limerick（数据驱动计算机工程研究中心，利默里克大学） ； Lero, The Irish Software Research Centre, University of Limerick（Lero，爱尔兰软件研究中心，利默里克大学） 纠错

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

A Real-time Degeneracy Sensing and Compensation Method for Enhanced LiDAR SLAM

Zongbo Liao, Xuanxuan Zhang, Tianxiang Zhang, Zhi Li, Zhenqi Zheng, Zhichao Wen, You Li

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

Comments 13 pages

From Bird's-Eye to Street View: Crafting Diverse and Condition-Aligned Images with Latent Diffusion Model

Xiaojie Xu, Tianshuo Xu, Fulong Ma, Yingcong Chen

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

Comments Accepted at International Conference on Robotics and Automation(ICRA)

Addressing Data Misalignment in Image-LiDAR Fusion on Point Cloud Segmentation

Wei Jong Yang, Guan Cheng Lee

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

Comments arXiv admin note: text overlap with arXiv:2309.11755

Group Equivariant BEV for 3D Object Detection

Hongwei Liu, Jian Yang, Jianfeng Zhang, Dongheng Shao, Jielong Guo, Shaobo Li, Xuan Tang, Xian Wei

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

Comments 8 pages,3 figures

MmWave Radar and Vision Fusion for Object Detection in Autonomous Driving: A Review

Zhiqing Wei, Fengkai Zhang, Shuo Chang, Yangyang Liu, Huici Wu, Zhiyong Feng

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

VPFNet: Improving 3D Object Detection with Virtual Point based LiDAR and Stereo Data Fusion

Hanqi Zhu, Jiajun Deng, Yu Zhang, Jianmin Ji, Qiuyu Mao, Houqiang Li, Yanyong Zhang

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

Fast Obstacle Avoidance Motion in SmallQuadcopter operation in a Cluttered Environment

Chaitanyavishnu S. Gadde, Mohitvishnu S. Gadde, Nishant Mohanty, Suresh Sundaram

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

Comments Submitted and Accepted to IEEE Conecct 2021

Multi-Modality Cascaded Fusion Technology for Autonomous Driving

Hongwu Kuang, Xiaodong Liu, Jingwei Zhang, Zicheng Fang

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

The ApolloScape Open Dataset for Autonomous Driving and its Application

Xinyu Huang, Peng Wang, Xinjing Cheng, Dingfu Zhou, Qichuan Geng, Ruigang Yang

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

Comments Version 4: Accepted by TPAMI. Version 3: 17 pages, 10 tables, 11 figures, added the application (DeLS-3D) based on the ApolloScape Dataset. Version 2: 7 pages, 6 figures, added comparison with BDD100K dataset

RG-Attn: Radian Glue Attention for Multi-modality Multi-agent Cooperative Perception

Lantao Li, Kang Yang, Wenqi Zhang, Xiaoxue Wang, Chen Sun

机构 * Sony (China) Limited（索尼（中国）有限公司） ； Renmin University of China（中国人民大学） 纠错

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

Comments Accepted by ICCV 2025 DriveX workshop (Final Version)

Online Targetless Radar-Camera Extrinsic Calibration Based on the Common Features of Radar and Camera

Lei Cheng, Siyang Cao

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

Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving

Florian Sauerbeck, Dominik Kulmer, Markus Pielmeier, Maximilian Leitenstern, Christoph Weiß, Johannes Betz

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

Comments Accepted and presented at IEEE Sensors Conference 2023

Journal ref IEEE Sensors Conference 2023