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浏览/检索结果: 共28条，第1-10条 帮助 限定条件 发表日期：2022     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 RadarVerses in Metaverses: A CPSI-Based Architecture for 6S Radar Systems in CPSS 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 10 作者:  Liu, Yuhang;  Shen, Yu;  Tian, Yonglin;  Ai, Yunfeng;  Tian, Bin 收藏  |  浏览/下载：14/0  |  提交时间：2023/02/22 Cyber-physical-social systems (CPSS)  meta-verses  parallel intelligence  RadarVerses   Sharing Traffic Priorities via Cyber-Physical-Social Intelligence: A Lane-Free Autonomous Intersection Management Method in Metaverse 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 12 作者:  Li, Bai;  Cao, Dongpu;  Tang, Shiqi;  Zhang, Tantan;  Dong, Hairong 收藏  |  浏览/下载：9/0  |  提交时间：2023/02/22 Autonomous intersection management (AIM)  cyber-physical-social intelligence  metaverse  numerical optimal control   Parallel Radars: From Digital Twins to Digital Intelligence for Smart Radar Systems 期刊论文 SENSORS, 2022, 卷号: 22, 期号: 24, 页码: 16 作者:  Liu, Yuhang;  Shen, Yu;  Fan, Lili;  Tian, Yonglin;  Ai, Yunfeng 收藏  |  浏览/下载：10/0  |  提交时间：2023/02/22 parallel radars  ACP method  cyber-physical-social systems (CPSS)  federated radars   Bandwidth-efficient multi-task AI inference with dynamic task importance for the Internet of Things in edge computing 期刊论文 COMPUTER NETWORKS, 2022, 卷号: 216, 页码: 13 作者:  Zhang, Jianfeng;  Zhang, Wensheng;  Xu, Jingdong 收藏  |  浏览/下载：20/0  |  提交时间：2023/01/09 Internet of Things  Edge computing  Edge intelligence  Multi-task learning   Dynamic-horizon model-based value estimation with latent imagination 期刊论文 IEEE Transactions on Neural Networks and Learning Systems, 2022, 页码: 1-14 作者:  Wang JJ(王俊杰);  Zhang QC(张启超);  Zhao DB(赵冬斌) 收藏  |  浏览/下载：4/0  |  提交时间：2023/05/30 Latent world model  model-based value expansion (MVE)  reinforcement learning  reinforcement learning   Recent Advances in Conventional and Deep Learning-Based Depth Completion: A Survey 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 21 作者:  Xie, Zexiao;  Yu, Xiaoxuan;  Gao, Xiang;  Li, Kunqian;  Shen, Shuhan 收藏  |  浏览/下载：16/0  |  提交时间：2022/11/14 Task analysis  Learning systems  Noise measurement  Laser radar  Image color analysis  Deep learning  Data integration  Data fusion  deep learning  depth completion  loss function  RGB-D and LiDAR data   Federated Vehicular Transformers and Their Federations: Privacy-Preserving Computing and Cooperation for Autonomous Driving 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 3, 页码: 456-465 作者:  Tian, Yonglin;  Wang, Jiangong;  Wang, Yutong;  Zhao, Chen;  Yao, Fei 收藏  |  浏览/下载：15/0  |  提交时间：2022/11/28 Transformers  Autonomous vehicles  Collaborative work  Point cloud compression  Trajectory  Computational modeling  Vehicle dynamics  Cooperative autonomous driving  Federated Vehicular Transformers  Federation of Vehicular Transformers  Vehicular Transformers   Social relation and physical lane aggregator: integrating social and physical features for multimodal motion prediction 期刊论文 Journal of Intelligent and Connected Vehicles, 2022, 卷号: 5, 期号: 3, 页码: 302-308 作者:  Chen QY(陈启元);  Wei ZB(魏泽兵);  Wang X(王晓);  Li LX(李灵犀);  Lv YS(吕宜生) 收藏  |  浏览/下载：3/0  |  提交时间：2023/06/26 A Dead Reckoning Calibration Scheme Based on Optimization with an Adaptive Quantum-Inspired Evolutionary Algorithm for Vehicle Self-Localization 期刊论文 ENTROPY, 2022, 卷号: 24 作者:  Yu, Biao;  Zhu, Hui;  Xue, Deyi;  Xu, Liwei;  Zhang, Shijin 收藏  |  浏览/下载：16/0  |  提交时间：2022/12/23 adaptive quantum-inspired evolutionary algorithm  dead reckoning  intelligent vehicle  optimization  parameter calibration   Frequency Feature Pyramid Network With Global-Local Consistency Loss for Crowd-and-Vehicle Counting in Congested Scenes 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 卷号: 23, 期号: 7, 页码: 9654-9664 作者:  Yu, Xiaoyuan;  Liang, Yanyan;  Lin, Xuxin;  Wan, Jun;  Wang, Tian 收藏  |  浏览/下载：16/0  |  提交时间：2022/11/14 Context prediction  frequency feature pyramid  discrete cosine transformation  global-local consistency loss