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机构地区:[1]河南机电高等专科学校计算机科学与技术系,河南新乡453003 [2]武汉理工大学计算机科学与技术学院,湖北武汉430063
出 处:《计算机仿真》2011年第11期87-90,共4页Computer Simulation
摘 要:研究空间物体移动轨迹建模优化问题。传统的建模方法需要大规模的采集数据,会影响建模的效果,并且增加了无线带宽的成本。为了更好地跟踪和存储移动物体的轨迹,优化轨迹建模结果,提出了基于移动物体运动轨迹点描述优化算法。该算法通过预测和规划移动物体在整个运动过程中的运动轨迹的时空模型,采用少量轨迹点对运动轨迹进行优化,在减少轨迹点的同时,使运动轨迹更接近于移动物体真实运动情况。实验结果表明,该方法能有效地描述移动物体的运动轨迹,取得了预期的结果。The paper researches the space objects trajectory modeling optimization.The traditional modeling methods need massive data collection,which influences modeling effect and increases the cost of wireless bandwidth.In order to better track and store the trajectory of moving objects,then optimize trajectory modeling results,the paper proposes an optimization algorithm based on the moving object trajectory points description.Through forecasting and planning the time and space model of the moving objects' trajectory in the whole movement process,the algorithm uses few trajectory points to optimize the movement trajectory.And it can reduce trajectory points and at the same time make the trajectory being more close to the real motion of moving objects.The experimental results show that this method can effectively describe the trajectory of moving objects and obtain the expected results.
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