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姚宗伟
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( 教授 ) 赞
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的个人主页 https://teachers.jlu.edu.cn/ZongweiYao/zh_CN/index.htm

教授
主要任职 : 系副主任
其他任职 : 学院教学委员会委员

论文成果当前位置: 中文主页 >> 科学研究 >> 论文成果

[1] Shoveling-Induced Slip Prediction for Distributed Electric Wheel Loaders: A Feature-Enhance CNN-BiLSTM Approach. IEEE Transactions on Industrial Electronics. 2026
[2] Generalizable Collaborative Path Planning for Heterogeneous Construction Vehicles via DSN-GRU and Dual-Path Fusion. Advanced Engineering Informatics. 2026
[3] Bio-Inspired Dyna-LIO: A Frog Vision-Based LiDAR SLAM for Engineering Vehicles in Dynamic Environments. Journal of Bionic Engineering. 2026,2026
[4] Bio-inspired Excavator Digging Trajectory Planning: Insights from Mole Digging Patterns. Journal of Bionic Engineering. 2025,22 (2025):1287-1303
[5] Accuracy evaluation of load distribution in engineering vehicles under extreme environments. Journal of Cleaner Production. 2025,518 (2025):1-13
[6] Cost-effective excavator pose reconstruction with physical constraints. Computer-Aided Civil and Infrastructure Engineering. 2025,2025 :1-23
[7] A Method for Evaluating the Accuracy of Load Distribution Estimation in Engineering Vehicles. IEEE Transactions on Industrial Informatics. 2025
[8] Reinforcement Learning-Based Trajectory Planning for Continuous Digging of Excavator Working Devices in Trenching Tasks. Computer-Aided Civil and Infrastructure Engineering. 2025
[9] Research on autonomous path planning and trackingcontrol methods for unmanned electric shovels. Computer-Aided Civil and Infrastructure Engineering. 2024
[10] 基于合成图像数据集的挖掘机关键点识别. 吉林大学学报(工学版). 2024
[11] Synchronized path planning and tracking for front and rear axles in articulated wheel loaders. AUTOMATION IN CONSTRUCTION. 2024,165
[12] Real-time task-oriented continuous digging trajectory planning for excavator arms. Automation in Construction. 2023,152 (2023):1-15
[13] Target Detection for Construction Machinery Based on Deep Learning and Multi-source Data Fusion. IEEE Sensors Journal. 2023
[14] A novel deep earth observation-oriented methods for enhancing magnetometry sensor stability. Measurement. 2022,2022 (204):1-12
[15] Accurate and effective framework for identifying track defects. Measurement. 2022,2022 (190):1-10

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