101–120 von 6,358 Ergebnissen
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    Key event processing method and device, equipment and storage medium

    Freier Zugriff
    XU HENG | Europäisches Patentamt | 2024
    intelligent cabin system, and comprises the following steps: a key service module sends key information to a first target application according to a ...

    Proceedings of the International Conference on Aerospace System Science and Engineering 2023

    Jing, Zhongliang / Zhan, Xingqun | Springer Verlag | 2024
    , communication, navigation and surveillance, dynamics and control, intelligent sensing and Information fusion, aerodynamics and aircraft design ...

    Driving with Deep Learning: A Robust Traffic Sign Detection and Classification System

    Patel, Harshita / Chippa, Ishaan / Kumar, Devansh et al. | IEEE | 2024
    Intelligent Transport Systems, such as self-driving automobiles, represent a prime example of applications utilizing traffic sign ...

    The usefulness of sensor fusion for unmanned aerial vehicle indoor positioning

    Guo, Hang / Chen, Xin / Yu, Min et al. | Emerald Group Publishing | 2024
    . Design/methodology/approach

    The presented system was built on Light Detection and Ranging (LiDAR), Inertial Measurement Unit (IMU) and

     ...
    Schlagwörter: Multi-source information fusion

    SA-BiGCN: Bi-Stream Graph Convolution Networks With Spatial Attentions for the Eye Contact Detection in the Wild

    Freier Zugriff
    Ling, Yancheng / Ma, Zhenliang / Xie, Bangquan et al. | IEEE | 2024
    Eye contact is essential in transmitting information and intention in the wild environment (e.g., urban streets or parking lots) with mixed ...

    MADRL-Based URLLC-Aware Task Offloading for Air-Ground Vehicular Cooperative Computing Network

    Qin, Peng / Wang, Yifei / Cai, Ziyuan et al. | IEEE | 2024
    . However, it faces new challenges such as the lack of Global State Information (GSI), and the Ultra-Reliable Low-Latency Communications (URLLC ...

    MC3Net: Multimodality Cross-Guided Compensation Coordination Network for RGB-T Crowd Counting

    Zhou, Wujie / Yang, Xun / Lei, Jingsheng et al. | IEEE | 2024
    thermal images. Thereafter, difference compensation is applied to compress fusion and splicing features. Redundant information is removed. Then ...

    Multi-Robot Environmental Coverage With a Two-Stage Coordination Strategy via Deep Reinforcement Learning

    Zhu, Lina / Cheng, Jiyu / Zhang, Hao et al. | IEEE | 2024
    Multi-robot environmental coverage can be widely used in many applications like search and rescue. However, it is challenging to coordinate ...

    Map-Adaptive Multimodal Trajectory Prediction via Intention-Aware Unimodal Trajectory Predictors

    Mo, Xiaoyu / Liu, Haochen / Huang, Zhiyu et al. | IEEE | 2024
    complex loss design and time-consuming training. This work proposes a novel map-adaptive multimodal trajectory predictor that links driving ...

    Artificial Intelligence-Assisted Robustness of Optoelectronics for Automated Driving: A Review

    Nacpil, Edric John Cruz / Han, Jiye / Jeon, Il | IEEE | 2024
    Optoelectronic sensing systems are used in automated vehicles for in-cabin features such as driver attention and distraction monitoring. As ...

    A Tamper-Resistant Broadcasting Scheme for Secure Communication in Internet of Autonomous Vehicles

    Sun, Jianfei / Tao, Junyi / Zhang, Hao et al. | IEEE | 2024
    . In the IoAV scenarios, information dissemination is inseparable from the interaction between autonomous vehicles and smart infrastructure ...

    Efficient Baselines for Motion Prediction in Autonomous Driving

    Gomez-Huelamo, Carlos / Conde, Marcos V. / Barea, Rafael et al. | IEEE | 2024
    -view of the physical information and the past trajectories of the most relevant agents; leveraging this information is a must to obtain optimal ...

    PGA-Net: Polynomial Global Attention Network With Mean Curvature Loss for Lane Detection

    Li, Qiankun / Yu, Xianwang / Chen, Junxin et al. | IEEE | 2024
    Global Attention Network (PGA-Net) for lane detection, which is an end-to-end model for mining global road information and predicting lanes shape ...

    Quantitative Identification of Driver Distraction: A Weakly Supervised Contrastive Learning Approach

    Yang, Haohan / Liu, Haochen / Hu, Zhongxu et al. | IEEE | 2024
    Accurate recognition of driver distraction is significant for the design of human-machine cooperation driving systems. Existing studies ...

    Fast, Robust, Accurate, Multi-Body Motion Aware SLAM

    Yang, Linghao / Zhang, Yunzhou / Tian, Rui et al. | IEEE | 2024
    systems and virtual-real interaction applications. Robust and accurate data association at object and feature levels is one of the key factors in ...

    Exploring Scale-Aware Features for Real-Time Semantic Segmentation of Street Scenes

    Li, Kaige / Geng, Qichuan / Zhou, Zhong | IEEE | 2024
    Real-time semantic segmentation of street scenes is an essential and challenging task for autonomous driving systems, which needs to ...

    GMHANN: A Novel Traffic Flow Prediction Method for Transportation Management Based on Spatial-Temporal Graph Modeling

    Wang, Qing / Liu, Weiping / Wang, Xiumei et al. | IEEE | 2024
    Traffic flow prediction significantly affects the intelligent transportation for digitized urban transportation management and urban ...

    Multi-Level Dynamic Graph Convolutional Networks for Weakly Supervised Crowd Counting

    Miao, Zhuangzhuang / Zhang, Yong / Ren, Hao et al. | IEEE | 2024
    Crowd counting is very important in many fields such as public safety, urban planning, and is essential for the intelligent transportation ...

    User Fairness Optimization of IRS-Assisted Cooperative MISO-NOMA for ITS With SWIPT

    Yang, Zheng / Xia, Lu / Cui, Jingjing et al. | IEEE | 2024
    -NOMA) for ITS with intelligent reflecting surface (IRS) and simultaneous wireless information and power transfer (SWIPT). An user fairness ...

    A Multi-Context Aware Human Mobility Prediction Model Based on Motif-Preserving Travel Preference Learning

    Chen, Yong / Xie, Ningke / Xu, Haoge et al. | IEEE | 2024
    Accurately predicting human mobility is crucial for various applications, e.g., transportation services, epidemic control, and ...