[1] 参与国家自然科学基金面上项目(62173055):基于多模态记忆增强的无人矿用大型电铲作业环境感知方法研究。
[2] 参与山西省重大专项(20191101014):无人操作大型矿用机械正铲式挖掘机研制。
[3] 参与辽宁省重大专项 (2021Jh7/10400093):智能化料场关键技术及其核心设备。
[4] 参与科技部重点研发计划(2018YFB1702502):掘进装备 PaaS 架构设计及大数据构建。
[5] 参与2023年河南省研究生课程思政示范课程项目:机器学习与信号处理。
代表性论文:
[1].Cui Yunhao, An Yi, Sun Wei, Hu Huosheng, Song Xueguan. Lightweight attention module for deep learning on classification and segmentation of 3-D point clouds[J]. IEEE Transactions on Instrumentation and Measurement, 2021, 70:2500912. (JCR Q1)
[2]. Cui Yunhao, An Yi, Sun Wei, Hu Huosheng, Song Xueguan. Memory-augmented point cloud registration network for bucket pose estimation of the intelligent mining excavator[J]. IEEE Transactions on Instrumentation and Measurement, 2022, 71:5003312. (JCR Q1)
[3].Cui Yunhao, An Yi, Sun Wei, Hu Huosheng, Song Xueguan. Multiscale adaptive edge detector for images based on a novel standard deviation map[J]. IEEE Transactions on Instrumentation and Measurement, 2021, 70:5010913. (JCR Q1)
[4] An Yi, Liu Wusong, Cui Yunhao, Wang Jinyu, Li Xiusheng, Hu Huosheng. Multilevel ground segmentation for 3-D point clouds of outdoor scenes based on shape analysis[J]. IEEE Transactions on Instrumentation and Measurement, 2022, 71:9503813. (JCR Q1)
[5]. Zhang Tianci, Fu Tao, Cui Yunhao, Song Xueguan. Toward autonomous mining: design and development of an unmanned electric shovel via point cloud based optimal trajectory planning[J]. Frontiers of Mechanical Engineering, 已录用. (JCR Q1)
[6]. An Yi, Wu Jialin, Cui Yunhao, Hu Huosheng. Multi-object Tracking Based on a Novel Feature Image with Multi-modal Information[J]. IEEE Transactions on Vehicular Technology, 已录用. (JCR Q1)
代表性专利:
[1].安毅, 崔允浩, 孙伟. 一种基于声音特征的移动机器人路面材质识别方法: 中国,CN113514544A[P]. 发明类别:发明专利,公开日期: 2021.10.19
[2]. 安毅, 崔允浩. 一种基于声音和图像多模态协同学习的路面材质识别方法. 中国,CN113111902A[P]. 发明类别:发明专利,公开日期: 2021.07.13
[3].薛林, 崔允浩,陈相吉,黑俊铭. 一种基于新构建隶属度函数的改进 Canny 自适应边缘提取方法:中国, CN109636822B[P]. 发明类别:发明专利,授权日期:2021.03.16