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作 者:索永峰[1] 张振烨 杨神化[1] 陈国权[1] SUO Yongfeng;ZHANG Zhenye;YANG Shenhua;CHEN Guoquan(Navigation College,Jimei University,Xiamen 361021,China)
出 处:《集美大学学报(自然科学版)》2021年第6期527-535,共9页Journal of Jimei University:Natural Science
基 金:国家自然基金项目(51579114,51879119);福建省自然基金项目(2020J01660,2018J01536)。
摘 要:为了帮助人们了解移动对象轨迹预测研究领域的成果,并准确预测移动目标运动趋势,对国内外相关文献进行了系统梳理和归纳。从基于物理机理建模、基于移动对象行为建模和基于移动个体交互建模三个方面对移动对象轨迹预测技术进行了分析。分别阐述了相关算法的核心原理方法,以及在轨迹预测中的适用范围和优缺点,指出移动对象轨迹预测研究所面临的挑战和研究重点。In order to help people learn more quickly on trajectory prediction of moving objects and to make such a prediction accurately,the writers tidied up and summarized the relevant literatures at home and abroad.The trajectory prediction techniques of moving objects are analysed from three aspects:modeling based on physical mechanism,modeling based on moving object behavior and modeling based on moving individual interaction.The core principles and methods of relevant algorithms,their application scope and as well as advantages and disadvantages in trajectory prediction are described respectively.Finally,current challenges and research priorities of in trajectory prediction of moving objects are pointed out.
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