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4篇 您的检索式:作者名="Bosen Lin"
    题名 作者 年代 出处 被引量
1Good ThermoelectricPerformance in Strongly Correlated System SnCCo3 with Antiperovs-kite Structure 显示文摘Lin Shuai Tong Peng Wang Bosen 2014Inorg Chem、2014,53,:1
2Topological Similarity-Based Multi-Target Correlation Localization for Aerial-Ground Systems显示文摘In this paper,an algorithm for solving the multi-target correlation and co-location problem of aerial-ground heterogeneous system is investigated.Aiming at the multi-target correlation problem,the fusion algorithm of visual axis correlation method and improved topological similarity correlation method are adopted in view of large parallax and inconsistent scale between the aerial and ground perspectives.First,the visual axis was preprocessed by the threshold method,so that the sparse targets were initially associated.Then,the improved topological similarity method was used to further associate dense targets with the relative position characteristics between targets.The shortcoming of dense target similarity with small di®erence was optimized by the improved topological similarity method.For the problem of colocation,combined with the multi-target correlation algorithm in this paper,the triangulation positioning model was used to complete the co-location of multiple targets.In the experimental part,simulation experiments and°ight experiments were designed to verify the e®ectiveness of the algorithm.Experimental results show that the proposed algorithm can e®ectively achieve multi-target correlation positioning,and that the positioning accuracy is obviously better than other positioning methods.Xudong Li Lizhen Wu Yifeng Niu Shengde Jia Bosen Lin 2021Guidance, Navigation and Control2021,1,3:0
3CDYL作为丁烯酰辅酶A水合酶调控组蛋白丁烯酰化及精子发生显示文摘文章简介本研究发现,转录辅抑制因子CDYL具有负调控组蛋白赖氨酸丁烯酰化的功能。有趣的是,CDYL负调控组蛋白丁烯酰化并不是通过直接从底物赖氨酸上去除丁烯酰基的方式实现的,而是利用CDYL的丁烯酰辅酶A水合酶活性。Shumeng Liu Huajing Yu Yongqing Liu Xinhua Liu Yu Zhang Chen Bu Shuai Yuan Zhe Chen Guojia Xie Wanjin Li Bosen Xu Jianguo Yang Lin He Tong Jin Yundong Xiong Luyang Sun Xiaohui Liu Chunsheng Han Zhongyi Cheng 梁静 尚永丰 2018科学新闻2018,0,4:0
4UAV low-altitude obstacle detection based on the fusion of LiDAR and camera显示文摘In this paper,aiming at the flying scene of the small unmanned aerial vehicle(UAV)in the low-altitude suburban environment,we choose the sensor configuration scheme of LiDAR and visible light camera,and design the static and dynamic obstacle detection algorithms based on sensor fusion.For static obstacles such as power lines and buildings in the low-altitude environment,the way that image-assisted verification of point clouds is used to fuse the contour information of the images and the depth information of the point clouds to obtain the location and size of static obstacles.For unknown dynamic obstacles such as rotary-wing UAVs,the IMM-UKF algorithm is designed to fuse the distance measurement information of point clouds and the high precision angle measurement information of image to achieve accurate estimation of the location and velocity of the dynamic obstacles.We build an experimental platform to verify the effectiveness of the obstacle detection algorithm in actual scenes and evaluate the relevant performance indexes.Zhaowei Ma Wenchen Yao Yifeng Niu Bosen Lin Tianqing Liu 2021Autonomous Intelligent Systems2021,1,1:0
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