Camera roaming plays an extremely important role in constructing various roaming scenarios for virtual systems. However, the existing path (camera) roaming algorithm has the disadvantages of excessive human participat...
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Camera roaming plays an extremely important role in constructing various roaming scenarios for virtual systems. However, the existing path (camera) roaming algorithm has the disadvantages of excessive human participation in the roaming path generation process, unpredictable roaming effect, unsmart camera conversion, and mismatched roaming camera and commentary. Therefore, a convenient and automatic path roaming algorithm is proposed. At the same time, the intelligent conversion of the camera is implemented. Based on this, optimization is performed to enable smart matching between the camera and the commentary audio and narration text. First, the key model in the roaming scene is marked to obtain its spatial position;Then the Bessel curve generation principle is studied, and Bessel splines are fitted to the key points according to the mathematical model of the Bezier curve;And then the camera movement is invoked, and the function implements roaming. Finally, the algorithm is optimized to achieve intelligent matching of voice subtitles and pictures. In this way, the automation and intelligence of the roaming path are realized. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
The paper proposes to realize a simulator for testing roaming algorithms in wireless networks. The simulator is made as a Windows application, which commands through USB the attenuators. The attenuators are related wi...
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ISBN:
(纸本)9781424470198
The paper proposes to realize a simulator for testing roaming algorithms in wireless networks. The simulator is made as a Windows application, which commands through USB the attenuators. The attenuators are related with the Access Points (APs). Proximity or the distance, of the mobile client (CL) compared to AP, is simulated by changing attenuation of the signal path derived from the AP's antenna. The simulator is the result of collaboration with the Embedded Wireless gmbh company, which provided the material for testing and use.
To search for multiple targets with swarm robots, those robots should be divided into some sub-swarm by job allocation, so that each sub-swarm can cooperatively work focusing on its desired target. Each sub-swarm sear...
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To search for multiple targets with swarm robots, those robots should be divided into some sub-swarm by job allocation, so that each sub-swarm can cooperatively work focusing on its desired target. Each sub-swarm searches for its target by evolutionary algorithm. In order to improve the cooperative search ability of subswarm, a new particle swarm algorithm based on auxiliary orientation improvement is proposed to enhance the efficiency and accuracy of the search. In the simulation, the general roaming algorithm consumes a longer time to find the target, and reduces the overall efficiency of the system. In order to solve this problem, a spiral roaming method based on artificial potential field is introduced to improve the global search capability. The simulation results show that the search efficiency is improved significantly by using this method.
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