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Yang B.,Sichuan University | Yang B.,National Key Laboratory of Fundamental Science on Synthetic Vision | Liang H.-J.,Sichuan University | Liang H.-J.,National Key Laboratory of Fundamental Science on Synthetic Vision
Sichuan Daxue Xuebao (Gongcheng Kexue Ban)/Journal of Sichuan University (Engineering Science Edition) | Year: 2012

One of the important decision-making tools is mid-term conflict detection (MTCD) in air traffic control system. The accelerating algorithm using CUDA technology on graphics processing units (GPU) was proposed to improve the accuracy and speed of Prandini MTCD approximate randomized algorithm. The algorithm was redesigned and optimized using multi-thread parallel processing capability of CUDA and computation capability of GPU. The experiments validated that the algorithm can obtain more than 50-fold speedup compared with an Intel core2 CPU by using NVIDIA Geforce 8800 GTS. This approach can satisfy with the real-time and high accuracy requirements of big air traffic area control center system. Source


Liu C.-J.,National Key Laboratory of Fundamental Science on Synthetic Vision | Liu C.-J.,Sichuan University | Liu C.-J.,University of Sichuan | Zhang Y.,National Key Laboratory of Fundamental Science on Synthetic Vision | And 3 more authors.
Sichuan Daxue Xuebao (Gongcheng Kexue Ban)/Journal of Sichuan University (Engineering Science Edition) | Year: 2012

Horizon detection plays a vital role in the control system of an aircraft during approach and landing. A new horizon detection algorithm based on virtual and actual information fusion was proposed. Firstly, position and pose data were extracted from GPS/AHRS guidance system, and then the exact slope and estimated equation of horizon were calculated with the help of virtual model. Furthermore, the variance of the region above the horizon was acquired. Finally, precise equation of the horizon was determined using region growing and estimation algorithms. Experiment and visual measurement showed this algorithm can effectively detect horizon under low visibility conditions, and provide much auxiliary information to pilots during approach and landing. Source


Liang H.,National Key Laboratory of Air Traffic Control Automation System Technology | Liang H.,National Key Laboratory of Fundamental Science on Synthetic Vision | Yang H.,National Key Laboratory of Air Traffic Control Automation System Technology | Yang H.,National Key Laboratory of Fundamental Science on Synthetic Vision | And 2 more authors.
Journal of Computational Information Systems | Year: 2012

Medium term conict detection is a main collaborate decision-making tool for the air traffic control. With the development of green air management and low level opening up of airspace, a conict detection method based on approximate optimal solution is proposed to predict ight conict problems. On the base of the features of ight path, the model tries to solve conict probability after integrating ight path by time. Moreover, the model presents the method of approximate optimal solution which takes into consideration the efficiency of continuous computing conict probability and the ight conict situation of the changing ight level during free ight. Numerical results are presented and illustrated by analyzing track errors, the features of precision parameter and the effects on false-alarm. The results show that the model is exible and practical, making this method appropriate for air traffic control. © 2012 Binary Information Press. Source

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