多模态信息融合 - arXivDaily 专题

2509.20757 2025-11-18 cs.RO cs.CV 62%

MASt3R-Fusion: Integrating Feed-Forward Visual Model with IMU, GNSS for High-Functionality SLAM

Yuxuan Zhou, Xingxing Li, Shengyu Li, Zhuohao Yan, Chunxi Xia, Shaoquan Feng

机构 * School of Geodesy and Geomatics, Wuhan University（武汉大学测绘学院）

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

2509.05728 2025-10-01 cs.CV cs.AI cs.LG cs.RO 62%

LiDAR-BIND-T: Improved and Temporally Consistent Sensor Modality Translation and Fusion for Robotic Applications

Niels Balemans, Ali Anwar, Jan Steckel, Siegfried Mercelis

机构 * IDLab - Faculty of Applied Engineering, University of Antwerp - imec（IDLab - 应用工程学院，安特卫普大学 - imec）； Cosys-Lab - Faculty of Applied Engineering, University of Antwerp（Cosys-Lab - 应用工程学院，安特卫普大学）； Flanders Make Strategic Research Centre（弗拉芒制造战略研究中心）

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

2509.11082 2025-09-16 cs.CV cs.RO 62%

Mars Traversability Prediction: A Multi-modal Self-supervised Approach for Costmap Generation

Zongwu Xie, Kaijie Yun, Yang Liu, Yiming Ji, Han Li

机构 * 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）

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

2501.11260 2025-09-11 cs.RO cs.CV 62%

A Survey of World Models for Autonomous Driving

Tuo Feng, Wenguan Wang, Yi Yang

机构 * Collaborative Innovation Center of Artificial Intelligence (CCAI), Zhejiang University（人工智能协同创新中心（CCAI）、浙江大学）

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

Comments Ongoing project. Paper list: https://github.com/FengZicai/AwesomeWMAD Benchmark: https://github.com/FengZicai/WMAD-Benchmarks

2507.20217 2025-07-30 cs.RO cs.AI cs.CV 62%

Humanoid Occupancy: Enabling A Generalized Multimodal Occupancy Perception System on Humanoid Robots

Wei Cui, Haoyu Wang, Wenkang Qin, Yijie Guo, Gang Han, Wen Zhao, Jiahang Cao, Zhang Zhang, Jiaru Zhong, Jingkai Sun, Pihai Sun, Shuai Shi, Botuo Jiang, Jiahao Ma, Jiaxu Wang, Hao Cheng, Zhichao Liu, Yang Wang, Zheng Zhu, Guan Huang, Jian Tang, Qiang Zhang

机构 * X-Humanoid ； GigaAI Project（GigaAI项目）

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

Comments Tech Report

2507.01059 2025-07-03 cs.MA cs.AI cs.CL cs.CV cs.RO 62%

Automated Vehicles Should be Connected with Natural Language

Xiangbo Gao, Keshu Wu, Hao Zhang, Kexin Tian, Yang Zhou, Zhengzhong Tu

机构 * Texas A&M University（德克萨斯农工大学）

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

2504.01040 2025-06-10 cs.CV cs.RO 62%

Cal or No Cal? -- Real-Time Miscalibration Detection of LiDAR and Camera Sensors

Ilir Tahiraj, Jeremialie Swadiryus, Felix Fent, Markus Lienkamp

机构 * Technical University of Munich（慕尼黑技术大学）

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

2506.02554 2025-06-04 cs.RO cs.AI cs.CV cs.LG 62%

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers

Timo Osterburg, Franz Albers, Christopher Diehl, Rajesh Pushparaj, Torsten Bertram

机构 * Institute of Control Theory and Systems Engineering, TU Dortmund University（控制理论与系统工程研究所，杜伊斯堡-埃森大学）

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

Comments 6 pages, accepted at IEEE Intelligent Vehicles Symposium (IV) 2025

2411.02624 2025-04-07 cs.CV cs.AI cs.RO 62%

Enhancing Indoor Mobility with Connected Sensor Nodes: A Real-Time, Delay-Aware Cooperative Perception Approach

Minghao Ning, Yaodong Cui, Yufeng Yang, Shucheng Huang, Zhenan Liu, Ahmad Reza Alghooneh, Ehsan Hashemi, Amir Khajepour

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

Journal ref 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)

2502.01894 2025-03-28 cs.CV cs.LG cs.RO 62%

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset

Goodarz Mehr, Azim Eskandarian

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

2406.12214 2024-10-23 cs.RO cs.CV 62%

Is Your HD Map Constructor Reliable under Sensor Corruptions?

Xiaoshuai Hao, Mengchuan Wei, Yifan Yang, Haimei Zhao, Hui Zhang, Yi Zhou, Qiang Wang, Weiming Li, Lingdong Kong, Jing Zhang

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

Comments NeurIPS 2024; 40 pages, 17 figures, 23 tables; Code at https://mapbench.github.io/

2309.07808 2024-09-13 cs.CV cs.AI cs.LG cs.RO 62%

What Matters to Enhance Traffic Rule Compliance of Imitation Learning for End-to-End Autonomous Driving

Hongkuan Zhou, Wei Cao, Aifen Sui, Zhenshan Bing

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

Comments 14 pages, 3 figures

2404.17793 2024-09-10 cs.CV cs.RO 62%

CLFT: Camera-LiDAR Fusion Transformer for Semantic Segmentation in Autonomous Driving

Junyi Gu, Mauro Bellone, Tomáš Pivoňka, Raivo Sell

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

Comments Accepted to IEEE Transactions on Intelligent Vehicles

2404.06256 2024-04-10 cs.CV cs.RO 62%

Label-Efficient 3D Object Detection For Road-Side Units

Minh-Quan Dao, Holger Caesar, Julie Stephany Berrio, Mao Shan, Stewart Worrall, Vincent Frémont, Ezio Malis

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

Comments IV 2024

2404.04492 2024-04-09 cs.RO cs.AI cs.CV 62%

Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology

Han Lei, Baoming Wang, Zuwei Shui, Peiyuan Yang, Penghao Liang

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

2304.10410 2023-11-27 cs.CV cs.AI cs.RO 62%

Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review

Shanliang Yao, Runwei Guan, Xiaoyu Huang, Zhuoxiao Li, Xiangyu Sha, Yong Yue, Eng Gee Lim, Hyungjoon Seo, Ka Lok Man, Xiaohui Zhu, Yutao Yue

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

Comments Accepted by IEEE Transactions on Intelligent Vehicles (T-IV)

Journal ref IEEE Transactions on Intelligent Vehicles 2023

2311.10261 2023-11-20 cs.CV eess.SP 62%

Vision meets mmWave Radar: 3D Object Perception Benchmark for Autonomous Driving

Yizhou Wang, Jen-Hao Cheng, Jui-Te Huang, Sheng-Yao Kuan, Qiqian Fu, Chiming Ni, Shengyu Hao, Gaoang Wang, Guanbin Xing, Hui Liu, Jenq-Neng Hwang

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

2305.02008 2023-10-24 cs.CV cs.LG cs.RO 62%

Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving

Mina Alibeigi, William Ljungbergh, Adam Tonderski, Georg Hess, Adam Lilja, Carl Lindstrom, Daria Motorniuk, Junsheng Fu, Jenny Widahl, Christoffer Petersson

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

Comments International Conference on Computer Vision (ICCV) 2023

2303.09800 2023-10-12 cs.CV cs.AI cs.RO 62%

GOOD: General Optimization-based Fusion for 3D Object Detection via LiDAR-Camera Object Candidates

Bingqi Shen, Shuwei Dai, Yuyin Chen, Rong Xiong, Yue Wang, Yanmei Jiao

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

2301.12592 2023-10-02 cs.LG cs.AI cs.CV cs.RO 62%

Ensemble Learning for Fusion of Multiview Vision with Occlusion and Missing Information: Framework and Evaluations with Real-World Data and Applications in Driver Hand Activity Recognition

Ross Greer, Mohan Trivedi

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

2309.09080 2023-09-20 cs.RO cs.CV 62%

Multi-camera Bird's Eye View Perception for Autonomous Driving

David Unger, Nikhil Gosala, Varun Ravi Kumar, Shubhankar Borse, Abhinav Valada, Senthil Yogamani

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

Comments Taylor & Francis (CRC Press) book chapter. Book title: Computer Vision: Challenges, Trends, and Opportunities

2307.01807 2023-07-06 cs.CV cs.RO 62%

SUIT: Learning Significance-guided Information for 3D Temporal Detection

Zheyuan Zhou, Jiachen Lu, Yihan Zeng, Hang Xu, Li Zhang

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

Comments Accepted to IROS 2023

2305.13814 2023-05-24 cs.CV cs.RO 62%

Leveraging BEV Representation for 360-degree Visual Place Recognition

Xuecheng Xu, Yanmei Jiao, Sha Lu, Xiaqing Ding, Rong Xiong, Yue Wang

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

2305.10594 2023-05-19 cs.RO cs.CV 62%

Improving Extrinsics between RADAR and LIDAR using Learning

Peng Jiang, Srikanth Saripalli

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

Comments accepted in IV 2023

2211.04557 2022-11-10 cs.CV cs.RO 62%

Estimation of Appearance and Occupancy Information in Birds Eye View from Surround Monocular Images

Sarthak Sharma, Unnikrishnan R. Nair, Udit Singh Parihar, Midhun Menon S, Srikanth Vidapanakal

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

2206.09770 2022-06-22 cs.CV cs.RO 62%

Real-time Full-stack Traffic Scene Perception for Autonomous Driving with Roadside Cameras

Zhengxia Zou, Rusheng Zhang, Shengyin Shen, Gaurav Pandey, Punarjay Chakravarty, Armin Parchami, Henry X. Liu

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

Comments This paper is accepted and presented in ICRA 2022

2109.02173 2022-03-04 cs.RO cs.AI cs.CV cs.LG cs.MA 62%

Multi-Agent Variational Occlusion Inference Using People as Sensors

Masha Itkina, Ye-Ji Mun, Katherine Driggs-Campbell, Mykel J. Kochenderfer

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

Comments 12 pages, 9 figures, International Conference on Robotics and Automation (ICRA) 2022

2104.10490 2021-10-19 cs.CV cs.RO 62%

FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras

Anthony Hu, Zak Murez, Nikhil Mohan, Sofía Dudas, Jeffrey Hawke, Vijay Badrinarayanan, Roberto Cipolla, Alex Kendall

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

Comments ICCV 2021

2008.09672 2020-08-25 cs.CV cs.RO 62%

Towards Autonomous Driving: a Multi-Modal 360$^{\circ}$ Perception Proposal

Jorge Beltrán, Carlos Guindel, Irene Cortés, Alejandro Barrera, Armando Astudillo, Jesús Urdiales, Mario Álvarez, Farid Bekka, Vicente Milanés, Fernando García

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

Comments Accepted for publication in IEEE ITSC 2020

2002.08394 2020-02-21 cs.CV cs.LG cs.RO 62%

MonoLayout: Amodal scene layout from a single image

Kaustubh Mani, Swapnil Daga, Shubhika Garg, N. Sai Shankar, Krishna Murthy Jatavallabhula, K. Madhava Krishna

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

Comments To be presented at WACV 2020 Video: https://www.youtube.com/watch?v=HcroGyo6yRQ Project page: https://hbutsuak95.github.io/monolayout

1. 自动驾驶多传感器融合 259 篇

MASt3R-Fusion: Integrating Feed-Forward Visual Model with IMU, GNSS for High-Functionality SLAM

LiDAR-BIND-T: Improved and Temporally Consistent Sensor Modality Translation and Fusion for Robotic Applications

Mars Traversability Prediction: A Multi-modal Self-supervised Approach for Costmap Generation

A Survey of World Models for Autonomous Driving

Humanoid Occupancy: Enabling A Generalized Multimodal Occupancy Perception System on Humanoid Robots

Automated Vehicles Should be Connected with Natural Language

Cal or No Cal? -- Real-Time Miscalibration Detection of LiDAR and Camera Sensors

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers

Enhancing Indoor Mobility with Connected Sensor Nodes: A Real-Time, Delay-Aware Cooperative Perception Approach

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset

Is Your HD Map Constructor Reliable under Sensor Corruptions?

What Matters to Enhance Traffic Rule Compliance of Imitation Learning for End-to-End Autonomous Driving

CLFT: Camera-LiDAR Fusion Transformer for Semantic Segmentation in Autonomous Driving

Label-Efficient 3D Object Detection For Road-Side Units

Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology

Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review

Vision meets mmWave Radar: 3D Object Perception Benchmark for Autonomous Driving

Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving

GOOD: General Optimization-based Fusion for 3D Object Detection via LiDAR-Camera Object Candidates

Ensemble Learning for Fusion of Multiview Vision with Occlusion and Missing Information: Framework and Evaluations with Real-World Data and Applications in Driver Hand Activity Recognition

Multi-camera Bird's Eye View Perception for Autonomous Driving

SUIT: Learning Significance-guided Information for 3D Temporal Detection

Leveraging BEV Representation for 360-degree Visual Place Recognition

Improving Extrinsics between RADAR and LIDAR using Learning

Estimation of Appearance and Occupancy Information in Birds Eye View from Surround Monocular Images

Real-time Full-stack Traffic Scene Perception for Autonomous Driving with Roadside Cameras

Multi-Agent Variational Occlusion Inference Using People as Sensors

FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras

Towards Autonomous Driving: a Multi-Modal 360$^{\circ}$ Perception Proposal

MonoLayout: Amodal scene layout from a single image