多模态信息融合

ViFi-Loc: Multi-modal Pedestrian Localization using GAN with Camera-Phone Correspondences

Hansi Liu, Kristin Dana, Marco Gruteser, Hongsheng Lu

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

Structured Knowledge Distillation Towards Efficient and Compact Multi-View 3D Detection

Linfeng Zhang, Yukang Shi, Hung-Shuo Tai, Zhipeng Zhang, Yuan He, Ke Wang, Kaisheng Ma

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

Comments Codes will be released if this paper is accepted

PAI3D: Painting Adaptive Instance-Prior for 3D Object Detection

Hao Liu, Zhuoran Xu, Dan Wang, Baofeng Zhang, Guan Wang, Bo Dong, Xin Wen, Xinyu Xu

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

Temporal and Spatial Online Integrated Calibration for Camera and LiDAR

Shouan Wang, Xinyu Zhang, GuiPeng Zhang, Yijin Xiong, Ganglin Tian, Shichun Guo, Jun Li

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

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

Leveraging Dynamic Objects for Relative Localization Correction in a Connected Autonomous Vehicle Network

Yunshuang Yuan, Monika Sester

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

Comments ISPRS congress 2022

ESGN: Efficient Stereo Geometry Network for Fast 3D Object Detection

Aqi Gao, Yanwei Pang, Jing Nie, Jiale Cao, Yishun Guo

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

Human-vehicle Cooperative Visual Perception for Autonomous Driving under Complex Road and Traffic Scenarios

Yiyue Zhao, Cailin Lei, Yu Shen, Yuchuan Du, Qijun Chen

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

TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers

Xuyang Bai, Zeyu Hu, Xinge Zhu, Qingqiu Huang, Yilun Chen, Hongbo Fu, Chiew-Lan Tai

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

Comments Accepted to CVPR2022; Code at \url{https://github.com/XuyangBai/TransFusion}; Based on this work, we achieve the 1st place in the leaderboard of nuScenes tracking

Extended Object Tracking in Curvilinear Road Coordinates for Autonomous Driving

Pragyan Dahal, Simone Mentasti, Stefano Arrigoni, Francesco Braghin, Matteo Matteucci, Federico Cheli

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

Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving

Kinjal Dasgupta, Arindam Das, Sudip Das, Ujjwal Bhattacharya, Senthil Yogamani

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

Comments To be published at IEEE Transactions on Intelligent Transportation Systems

Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving

James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun

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

Multi-Modal Temporal Convolutional Network for Anticipating Actions in Egocentric Videos

Olga Zatsarynna, Yazan Abu Farha, Juergen Gall

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

Comments CVPR Precognition Workshop

CFTrack: Center-based Radar and Camera Fusion for 3D Multi-Object Tracking

Ramin Nabati, Landon Harris, Hairong Qi

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

Comments 2021 IEEE Intelligent Vehicles Symposium, 3D-Deep Learning for Autonomous Driving Workshop (WS15)

Radar Voxel Fusion for 3D Object Detection

Felix Nobis, Ehsan Shafiei, Phillip Karle, Johannes Betz, Markus Lienkamp

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

Set-Membership Estimation in Shared Situational Awareness for Automated Vehicles in Occluded Scenarios

Vandana Narri, Amr Alanwar, Jonas Mårtensson, Christoffer Norén, Laura Dal Col, Karl Henrik Johansson

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

Comments This paper is submitted to IEEE Intelligent Vehicles Symposium 2021

Data Association Between Perception and V2V Communication Sensors

Mustafa Ridvan Cantas, Arpita Chand, Hao Zhang, Gopi Chandra Surnilla, Levent Guvenc

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

Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies

Yu Huang, Yue Chen

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

Class-specific Anchoring Proposal for 3D Object Recognition in LIDAR and RGB Images

Amir Hossein Raffiee, Humayun Irshad

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

Comments 8 pages, 6 figures

A scene perception system for visually impaired based on object detection and classification using multi-modal DCNN

Baljit Kaur, Jhilik Bhattacharya

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

Comments 33pages

Learning On-Road Visual Control for Self-Driving Vehicles with Auxiliary Tasks

Yilun Chen, Praveen Palanisamy, Priyantha Mudalige, Katharina Muelling, John M. Dolan

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

Comments 2019 IEEE Winter Conference on Applications of Computer Vision (WACV 2019)

Risk-averse Behavior Planning for Autonomous Driving under Uncertainty

Mohammad Naghshvar, Ahmed K. Sadek, Auke J. Wiggers

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

Comments 7 pages, accepted to NeurIPS 2018 Workshop on Machine Learning for Intelligent Transportation Systems (MLITS)

Semantic Road Layout Understanding by Generative Adversarial Inpainting

Lorenzo Berlincioni, Federico Becattini, Leonardo Galteri, Lorenzo Seidenari, Alberto Del Bimbo

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

DeLS-3D: Deep Localization and Segmentation with a 3D Semantic Map

Peng Wang, Ruigang Yang, Binbin Cao, Wei Xu, Yuanqing Lin

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

Comments Accepted in CVPR 2018. arXiv admin note: substantial text overlap with arXiv:1803.06184

Propagating Confidences through CNNs for Sparse Data Regression

Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan

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

Comments To appear in the British Machine Vision Conference (BMVC2018)

A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving

Xiangyu Yue, Bichen Wu, Sanjit A. Seshia, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli

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

Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework

Yuankai Wu, Huachun Tan

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

Comments 14 pages

Off-the-shelf sensor vs. experimental radar -- How much resolution is necessary in automotive radar classification?

Nicolas Scheiner, Ole Schumann, Florian Kraus, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick

专题命中 自动驾驶多传感器融合 ：information fusion(comments,journal_ref)；分类 cs.CV、eess.SP

Comments Accepted @ 23rd International Conference on Information Fusion (FUSION)

Journal ref 2020 IEEE 23rd International Conference on Information Fusion (FUSION)

Parameter Efficient Hybrid Transformer (PEHT) for Network Traffic Prediction via Dynamic Urban Congestion Integration

参数高效混合Transformer（PEHT）用于通过动态城市拥堵整合进行网络流量预测

Abdolazim Rezaei, Mehdi Sookhak, Mahboobeh Haghparast

机构 * National Science Foundation（国家科学基金会） ； U.S. Department of Transportation（美国交通部） ； University Transportation Center (UTC)（大学交通中心） ； Transportation Cybersecurity Center for Advanced Research and Education (CYBER-CARE)（交通网络安全高级研究与教育中心） ； NVIDIA Academic Grant Program（NVIDIA学术资助计划） 纠错

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

AI总结 提出参数高效混合Transformer（PEHT），通过低秩适应和多模态融合整合城市移动性与拥堵信息，在减少参数的同时提升网络流量预测精度。

Interpretable Crisis Behavior Analysis Using Mobility and Social Media Data

基于移动性和社交媒体数据的可解释危机行为分析

Muhammad Hamza Arshad Majeed, Sidahmed Benabderrahmane, Talal Rahwan

机构 * New York University (NYUAD)（纽约大学（NYUAD）） 纠错

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

AI总结 提出统一可解释流水线，融合移动性和社交媒体数据，通过形式概念分析和关联规则挖掘，识别危机中跨域行为模式，并在洛杉矶山火和COVID-19案例中验证，生成可操作的政策简报。