自动驾驶

Resilient Sensor Fusion under Adverse Sensor Failures via Multi-Modal Expert Fusion

Konyul Park, Yecheol Kim, Daehun Kim, Jun Won Choi

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

Comments Accepted to CVPR 2025

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela Rus, Song Han

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

Comments ICRA 2023. The first two authors contributed equally to this work. Project page: https://bevfusion.mit.edu

Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality Fusion

Yang Liu, Feng Wang, Naiyan Wang, Zhaoxiang Zhang

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

Comments Accepted by NeurIPS 2023

Indoor Localization for an Autonomous Model Car: A Marker-Based Multi-Sensor Fusion Framework

Xibo Li, Shruti Patel, David Stronzek-Pfeifer, Christof Büskens

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

Strategic Fusion of Vision Language Models: Shapley-Credited Context-Aware Dawid-Skene for Multi-Label Tasks in Autonomous Driving

Yuxiang Feng, Keyang Zhang, Hassane Ouchouid, Ashwil Kaniamparambil, Ioannis Souflas, Panagiotis Angeloudis

机构 * Centre for Transport Engineering and Modelling, Department of Civil and Environmental Engineering, Imperial College London（交通工程与建模中心，土木与环境工程系，帝国理工学院伦敦分校） ； ELM Europe（ELM欧洲） 纠错

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

Comments 8 pages

3DGS_LSR:Large_Scale Relocation for Autonomous Driving Based on 3D Gaussian Splatting

Haitao Lu, Haijier Chen, Haoze Liu, Shoujian Zhang, Bo Xu, Ziao Liu

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

Comments 13 pages,7 figures,4 tables

Evaluating Visual Odometry Methods for Autonomous Driving in Rain

Yu Xiang Tan, Marcel Bartholomeus Prasetyo, Mohammad Alif Daffa, Deshpande Sunny Nitin, Malika Meghjani

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

Comments A version of the paper presented at IEEE International Conference on Automation Science and Engineering (CASE) 2023. Fixed grammar and phrasing to improve clarity of the statements made. Emphasized on the need for a more robust sensor fusion based approach for localization in rain for autonomous driving

3DTTNet: Multimodal Fusion-Based 3D Traversable Terrain Modeling for Off-Road Environments

Zitong Chen, Chao Sun, Shida Nie, Chen Min, Changjiu Ning, Haoyu Li, Bo Wang

机构 * Shenzhen Automotive Research Institute, Beijing Institute of Technology, Shenzhen（深圳汽车研究院，北京理工大学，深圳） ； School of Mechanical Engineering, Beijing Institute of Technology, Beijing（机械工程学院，北京理工大学，北京） ； Research Center for Intelligent Computing Systems, Institute of Computing Technology, Chinese Academy of Sciences, Beijing（智能计算系统研究中心，计算技术研究所，中国科学院，北京） 纠错

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

Comments 15 pages,13 figures

Distance Estimation in Outdoor Driving Environments Using Phase-only Correlation Method with Event Cameras

Masataka Kobayashi, Shintaro Shiba, Quan Kong, Norimasa Kobori, Tsukasa Shimizu, Shan Lu, Takaya Yamazato

专题命中 多传感器融合 ：autonomous driving(abstract)；LiDAR(abstract)；分类 cs.RO、cs.CV、eess.IV

Comments 6 pages, 7 figures. To appear in IEEE Intelligent Vehicles Symposium (IV) 2025

Holistic Grid Fusion Based Stop Line Estimation

Runsheng Xu, Faezeh Tafazzoli, Li Zhang, Timo Rehfeld, Gunther Krehl, Arunava Seal

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

Comments Submitted to ICPR2020

Journal ref 2020 25th International Conference on Pattern Recognition (ICPR), Milan, Italy, 2021 pp. 8400-8407

CurbScan: Curb Detection and Tracking Using Multi-Sensor Fusion

Iljoo Baek, Tzu-Chieh Tai, Manoj Bhat, Karun Ellango, Tarang Shah, Kamal Fuseini, Ragunathan, Rajkumar

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

Comments Accepted to IEEE ITSC-2020 conference

Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles

Sammy Sidhu, Linda Wang, Tayyab Naseer, Ashish Malhotra, Jay Chia, Aayush Ahuja, Ella Rasmussen, Qiangui Huang, Ray Gao

专题命中 多传感器融合 ：autonomous driving(abstract,comments)；LiDAR(abstract)；分类 cs.RO、cs.CV

Comments Presented in Machine Learning for Autonomous Driving Workshop at the 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia. 11 pages, 8 figures

CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping

CT-VoxelMap：高效的连续时间激光雷达-惯性里程计与概率自适应体素映射

Lei Zhao, Xingyi Li, Tianchen Deng, Chuan Cao, Han Zhang, Weidong Chen

专题命中 多传感器融合 ：LiDAR(title)；分类 cs.RO

AI总结 本文提出CT-VoxelMap，通过概率自适应体素映射提升移动机器人在快速运动或粗糙地形中的定位稳定性与准确性，采用B-样条基方法优化连续时间表示，改进雅可比推导并增强系统鲁棒性。

CalTag: Robust calibration of mmWave Radar and LiDAR using backscatter tags

Junyi Xu, Kshitiz Bansal, Dinesh Bharadia

专题命中 多传感器融合 ：LiDAR(title)；分类 cs.RO

CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation

Haisong Liu, Tao Lu, Yihui Xu, Jia Liu, Wenjie Li, Lijun Chen

专题命中 多传感器融合 ：LiDAR(title)；分类 cs.CV

Comments Accepted to CVPR 2022 (Oral)

Drift with Devil: Security of Multi-Sensor Fusion based Localization in High-Level Autonomous Driving under GPS Spoofing (Extended Version)

Junjie Shen, Jun Yeon Won, Zeyuan Chen, Qi Alfred Chen

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

Comments This is an extended version of our paper, which appears in USENIX Security 2020. For attack demos, see our project website: https://sites.google.com/view/cav-sec/fusionripper

REFNet++: Multi-Task Efficient Fusion of Camera and Radar Sensor Data in Bird's-Eye Polar View

REFNet++：多任务高效融合摄像头和雷达传感器数据的鸟瞰极坐标视图

Kavin Chandrasekaran, Sorin Grigorescu, Gijs Dubbelman, Pavol Jancura

机构 * ElektroBit Automotive GmbH ； Eindhoven University of Technology（埃因霍温理工大学） ； Transilvania University of Brasov（布拉索夫特拉扬大学） 纠错

专题命中 多传感器融合 ：BEV(abstract,abstract_cn)；分类 cs.CV、cs.AI

AI总结 本文提出REFNet++，通过统一域对齐摄像头和雷达数据，实现车辆检测和自由空间分割的高效多模态融合，提升环境感知的准确性和效率。

Comments IEEE Intelligent Transportation Systems Conference (ITSC) 2025

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

Goodarz Mehr, Azim Eskandarian

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

GET-UP: GEomeTric-aware Depth Estimation with Radar Points UPsampling

Huawei Sun, Zixu Wang, Hao Feng, Julius Ott, Lorenzo Servadei, Robert Wille

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

Comments Accepted by WACV 2025

RoadRunner -- Learning Traversability Estimation for Autonomous Off-road Driving

Jonas Frey, Manthan Patel, Deegan Atha, Julian Nubert, David Fan, Ali Agha, Curtis Padgett, Patrick Spieler, Marco Hutter, Shehryar Khattak

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

Comments accepted for IEEE Transactions on Field Robotics (T-FR)

Cognitive TransFuser: Semantics-guided Transformer-based Sensor Fusion for Improved Waypoint Prediction

Hwan-Soo Choi, Jongoh Jeong, Young Hoo Cho, Kuk-Jin Yoon, Jong-Hwan Kim

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

Comments Accepted to RiTA 2023

Multi-modal Fusion Technology based on Vehicle Information: A Survey

Yan Gong, Jianli Lu, Jiayi Wu, Wenzhuo Liu

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

Physics and semantic informed multi-sensor calibration via optimization theory and self-supervised learning

Shmuel Y. Hayoun, Meir Halachmi, Doron Serebro, Kfir Twizer, Elinor Medezinski, Liron Korkidi, Moshik Cohen, Itai Orr

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

Robust super-resolution depth imaging via a multi-feature fusion deep network

Alice Ruget, Stephen McLaughlin, Robert K. Henderson, Istvan Gyongy, Abderrahim Halimi, Jonathan Leach

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

Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets

Simon T. Isele, Marcel P. Schilling, Fabian E. Klein, Sascha Saralajew, J. Marius Zoellner

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

Comments pre-print, currently under review

Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion

Peide Cai, Sukai Wang, Yuxiang Sun, Ming Liu

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

Comments 8 pages, 6 figures, 3 tables. IEEE Robotics and Automation Letters (RA-L)

Robust and Precise Vehicle Localization based on Multi-sensor Fusion in Diverse City Scenes

Guowei Wan, Xiaolong Yang, Renlan Cai, Hao Li, Hao Wang, Shiyu Song

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

Comments 8 pages, 6 figures, 2 tables, Accepted by ICRA 2018

Journal ref IEEE International Conference on Robotics and Automation (ICRA), 2018, pp. 4670-4677

A Multi-Stage Clustering Framework for Automotive Radar Data

Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick

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

Comments 8 pages, 5 figures, accepted paper for 2019 IEEE 22nd Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, October 2019

FUTR3D: A Unified Sensor Fusion Framework for 3D Detection

Xuanyao Chen, Tianyuan Zhang, Yue Wang, Yilun Wang, Hang Zhao

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

Journal ref CVPR 2023 workshop on autonomous driving

3D high-resolution imaging algorithm using 1D MIMO array for autonomous driving application

Sen Yuan, Francesco Fioranelli, Alexander Yarovoy

专题命中 多传感器融合 ：autonomous driving(title)

Comments Submitted to IEEE Transactions. For citation, please use the IEEE doi: 10.1109/TRS.2024.3493992

Journal ref in IEEE Transactions on Radar Systems, vol. 2, pp. 1186-1199, 2024