无人地面车辆轨迹预测方法综述

Xuejie Du, Aoran Li, Xueyuan Li, Qi Liu
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摘要

无人地面车辆(UGV)是目前国际上的重点研究方向。作为一个跨学科的综合体,它涵盖了机械、计算机、自动化、人体工程学等多个方面。UGV的应用将人们从驾驶中解放出来,减少交通事故,节省人们的时间和成本。轨迹预测作为无人潜航器软件系统的重要组成部分,对提高无人潜航器的安全性具有重要意义。本文对目前的各种预测算法进行了分类和总结,提出了目前各种算法存在的问题,并展望了未来的发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Summary of Trajectory Prediction Method for Unmanned Ground Vehicle
Unmanned Ground Vehicle (UGV) is currently the key research direction in the world. As an interdisciplinary complex, it covers machinery, computers, automation, ergonomics and other aspects. The application of UGV will liberate people from driving, reducing traffic accidents, and saving people's time and cost. As an important part of the UGV software system, trajectory prediction is very important to improve the security of UGV. This article classifies and summarizes various current prediction algorithms, puts forward the current problems of various algorithms, and looks forward to the future development direction.
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