4篇
您的检索式：作者名="Han Songchen"
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| 1 | 3D sector optimization partition of airspace显示文摘 | Tang Yuehong Han Songchen Zong Dawei | 2007 | Journal of Southwest Jiaotong University2007，15，1： | 1 |
| 2 | 3D sector optimum partition of airspace显示文摘 | TANG Yuehong HAN Songchen ZONG Dawei | 2007 | Journal of Southwest Jiaotong University2007，15，1： | 1 |
| 3 | Exploring 2D projection and 3D spatial information for aircraft 6D pose显示文摘The 6D pose estimation is important for the safe take-off and landing of the aircraft using a single RGB image. Due to the large scene and large depth, the exiting pose estimation methods have unstratified performance on the accuracy. To achieve precise 6D pose estimation of the aircraft, an end-to-end method using an RGB image is proposed. In the proposed method, the2D and 3D information of the keypoints of the aircraft is used as the intermediate supervision,and 6D pose information of the aircraft in this intermediate information will be explored. Specifically, an off-the-shelf object detector is utilized to detect the Region of the Interest(Ro I) of the aircraft to eliminate background distractions. The 2D projection and 3D spatial information of the pre-designed keypoints of the aircraft is predicted by the keypoint coordinate estimator(Kp Net).The proposed method is trained in an end-to-end fashion. In addition, to deal with the lack of the related datasets, this paper builds the Aircraft 6D Pose dataset to train and test, which captures the take-off and landing process of three types of aircraft from 11 views. Compared with the latest Wide-Depth-Range method on this dataset, our proposed method improves the average 3D distance of model points metric(ADD) and 5° and 5 m metric by 86.8% and 30.1%, respectively. Furthermore, the proposed method gets 9.30 ms, 61.0% faster than YOLO6D with 23.86 ms. | Daoyong FU Songchen HAN BinBin LIANG Xinyang YUAN Wei LI | 2023 | Chinese Journal of Aeronautics2023，36，8： | 0 |
| 4 | Departure Trajectory Design Based on Pareto Ant Colony Algorithm显示文摘Due to the ever-increasing air traffic flow,the influence of aircraft noise around the airport has become significant.As most airlines are trying to decrease operation cost,stringent requirements for more simple and efficient departure trajectory are on a rise.Therefore,a departure trajectory design was established for performancebased navigation technology,and a multi-objective optimization model was developed,with constraints of safety and noise influence,as well as optimization targets of efficiency and simplicity.An improved ant colony algorithm was then proposed to solve the optimization problem.Finally,an experiment was conducted using the Lanzhou terminal airspace operation data,and the results showed that the designed departure trajectory was feasible and efficient in decreasing the aircraft noise influence. | Sun Fanrong Han Songchen Qian Ge | 2016 | Transactions of Nanjing University of Aeronautics and Astronautics2016，33，4： | 0 |
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