自动驾驶

RC-AutoCalib: An End-to-End Radar-Camera Automatic Calibration Network

Van-Tin Luu, Yon-Lin Cai, Vu-Hoang Tran, Wei-Chen Chiu, Yi-Ting Chen, Ching-Chun Huang

机构 * National Yang Ming Chiao Tung University（国立阳明交通大学） ； Ho Chi Minh City University of Technology and Education（胡志明市技术与教育大学） 纠错

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.CV

Comments Accepted to CVPR 2025

The Finer Points: A Systematic Comparison of Point-Cloud Extractors for Radar Odometry

Elliot Preston-Krebs, Daniil Lisus, Timothy D. Barfoot

机构 * University of Toronto Institute for Aerospace Studies (UTIAS)（多伦多大学航空航天研究所） 纠错

专题命中 多传感器融合 ：autonomous driving(abstract)；分类 cs.RO

Comments 8 pages, 2 figures, 1 table. Submitted to the 22nd Conference on Computer and Robot Vision (CRV 2025)

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework

Jianan Lou, Rong Zhang

机构 * Department of Precision Instrument and the State Key Laboratory of Precision Space-Time Information Sensing Technology, Tsinghua University, Beijing, 100084, China（精密仪器系和精密时空信息感知技术国家重点实验室，清华大学，北京，100084，中国） 纠错

专题命中 多传感器融合 ：autonomous driving(abstract)；分类 cs.RO

RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave Radar

Tieshuai Song, Jiandong Ye, Ao Guo, Guidong He, Bin Yang

专题命中 多传感器融合 ：autonomous driving(abstract)；分类 eess.IV

Comments 6 pages, 7 figures. Contains a new RGBD dataset for depth completion. Code and dataset will be released

CRADMap: Applied Distributed Volumetric Mapping with 5G-Connected Multi-Robots and 4D Radar Perception

Maaz Qureshi, Alexander Werner, Zhenan Liu, Amir Khajepour, George Shaker, William Melek

机构 * Faculty of Mechanical and Mechatronics Engineering, University of Waterloo（机械与机电工程学院，滑铁卢大学） 纠错

专题命中 多传感器融合 ：occupancy(abstract)；分类 cs.RO

Comments 7 pages, 5 figures, IEEE, ICARM

ReFeree: Radar-Based Lightweight and Robust Localization using Feature and Free space

Hogyun Kim, Byunghee Choi, Euncheol Choi, Younggun Cho

机构 * Electrical and Computer Engineering, Inha University（电子与计算机工程系，inha大学） 纠错

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments 8 pages, 8 figures, accepted to RA-L

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting

Huawei Sun, Bora Kunter Sahin, Georg Stettinger, Maximilian Bernhard, Matthias Schubert, Robert Wille

机构 * Huawei Sun ⋆ 1,2（华为（深圳）技术有限公司） ； Bora Kunter Sahin ⋆ 1,3（华为（深圳）技术有限公司） ； Georg Stettinger 1（华为（深圳）技术有限公司） ； Maximilian Bernhard 3（慕尼黑工业大学） ； Matthias Schubert 3（慕尼黑工业大学） ； Robert Wille 2（华为（深圳）技术有限公司） 纠错

专题命中 多传感器融合 ：autonomous driving(abstract)；分类 cs.CV

Comments Accepted at RA-L 2025

Vision-based 3D Semantic Scene Completion via Capture Dynamic Representations

Meng Wang, Fan Wu, Yunchuan Qin, Ruihui Li, Zhuo Tang, Kenli Li

专题命中 多传感器融合 ：autonomous driving(abstract)；分类 cs.CV

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 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments Accepted for publication in IEEE Robotics and Automation Letters

Experimental Analysis of Quadcopter Drone Hover Constraints for Localization Improvements

Uthman Olawoye, David Akhihiero, Jason N. Gross

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

AV-PedAware: Self-Supervised Audio-Visual Fusion for Dynamic Pedestrian Awareness

Yizhuo Yang, Shenghai Yuan, Muqing Cao, Jianfei Yang, Lihua Xie

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments This work has been accepted for publication at the 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Personal use is permitted. For other uses, permission from IEEE is required

MUSE: A Real-Time Multi-Sensor State Estimator for Quadruped Robots

Ylenia Nisticò, João Carlos Virgolino Soares, Lorenzo Amatucci, Geoff Fink, Claudio Semini

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments Accepted for publication in IEEE Robotics and Automation Letters

Robust Multiview Multimodal Driver Monitoring System Using Masked Multi-Head Self-Attention

Yiming Ma, Victor Sanchez, Soodeh Nikan, Devesh Upadhyay, Bhushan Atote, Tanaya Guha

专题命中 多传感器融合 ：self-driving(abstract)；分类 cs.CV

Comments 9 pages (1 for reference); accepted by the 6th Multimodal Learning and Applications Workshop (MULA) at CVPR 2023

SNAIL Radar: A large-scale diverse benchmark for evaluating 4D-radar-based SLAM

Jianzhu Huai, Binliang Wang, Yuan Zhuang, Yiwen Chen, Qipeng Li, Yulong Han

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments 16 pages, 5 figures, 7 tables

Digital Beamforming Enhanced Radar Odometry

Jingqi Jiang, Shida Xu, Kaicheng Zhang, Jiyuan Wei, Jingyang Wang, Sen Wang

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

An End-to-End Learning-Based Multi-Sensor Fusion for Autonomous Vehicle Localization

Changhong Lin, Jiarong Lin, Zhiqiang Sui, XiaoZhi Qu, Rui Wang, Kehua Sheng, Bo Zhang

专题命中 多传感器融合 ：autonomous driving(abstract)；分类 cs.RO

Comments 7 pages, 8 figures, to be published in ICRA2025

Obstacle-Avoidant Leader Following with a Quadruped Robot

Carmen Scheidemann, Lennart Werner, Victor Reijgwart, Andrei Cramariuc, Joris Chomarat, Jia-Ruei Chiu, Roland Siegwart, Marco Hutter

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments Accepted as a contributed paper to IEEE International Conference on Robotics and Automation (ICRA) 2025

ARS548_ros. An ARS 548 RDI radar driver for ROS

Fernando Fernández-Calatayud, Lucía Coto-Elena, David Alejo, José J. Carpio-Jiménez, Fernando Caballero, Luis Merino

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments 20 pages, 6 figures and 23 references

CAO-RONet: A Robust 4D Radar Odometry with Exploring More Information from Low-Quality Points

Zhiheng Li, Yubo Cui, Ningyuan Huang, Chenglin Pang, Zheng Fang

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments 7 pages, 7 figures

A2DO: Adaptive Anti-Degradation Odometry with Deep Multi-Sensor Fusion for Autonomous Navigation

Hui Lai, Qi Chen, Junping Zhang, Jian Pu

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments 6+1pages, 6 figures, accept by ICRA

Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process

Wooseong Yang, Hyesu Jang, Ayoung Kim

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments 7 pages, 7 figures, 4 tables

Robust 4D Radar-aided Inertial Navigation for Aerial Vehicles

Jinwen Zhu, Jun Hu, Xudong Zhao, Xiaoming Lang, Yinian Mao, Guoquan Huang

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

CrossFuse: Learning Infrared and Visible Image Fusion by Cross-Sensor Top-K Vision Alignment and Beyond

Yukai Shi, Cidan Shi, Zhipeng Weng, Yin Tian, Xiaoyu Xian, Liang Lin

专题命中 多传感器融合 ：autonomous driving(abstract)；分类 cs.CV

Comments IEEE T-CSVT. We mainly discuss the out-of-distribution challenges in infrared and visible image fusion

The NavINST Dataset for Multi-Sensor Autonomous Navigation

Paulo Ricardo Marques de Araujo, Eslam Mounier, Qamar Bader, Emma Dawson, Shaza I. Kaoud Abdelaziz, Ahmed Zekry, Mohamed Elhabiby, Aboelmagd Noureldin

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Comments 14 pages, 20 figures

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion

Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng

专题命中 多传感器融合 ：autonomous driving(abstract)；分类 cs.CV

Comments 3DV 2025

MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image Classification

Feng Gao, Xuepeng Jin, Xiaowei Zhou, Junyu Dong, Qian Du

专题命中 多传感器融合 ：LiDAR(abstract)；分类 eess.IV

Comments IEEE TGRS 2025

Targetless Intrinsics and Extrinsic Calibration of Multiple LiDARs and Cameras with IMU using Continuous-Time Estimation

Yuezhang Lv, Yunzhou Zhang, Chao Lu, Jiajun Zhu, Song Wu

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

Selective Kalman Filter: When and How to Fuse Multi-Sensor Information to Overcome Degeneracy in SLAM

Jie Xu, Guanyu Huang, Wenlu Yu, Xuanxuan Zhang, Lijun Zhao, Ruifeng Li, Shenghai Yuan, Lihua Xie

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.RO

AV-DTEC: Self-Supervised Audio-Visual Fusion for Drone Trajectory Estimation and Classification

Zhenyuan Xiao, Yizhuo Yang, Guili Xu, Xianglong Zeng, Shenghai Yuan

专题命中 多传感器融合 ：LiDAR(abstract)；分类 cs.CV

Comments Submitted to ICRA 2025

Fine-grained graph representation learning for heterogeneous mobile networks with attentive fusion and contrastive learning

Shengheng Liu, Tianqi Zhang, Ningning Fu, Yongming Huang

专题命中 多传感器融合 ：self-driving(abstract)；分类 cs.AI

Comments To appear in AAAI 2025 (Main Technical Track)