首页|基于目标搜索的无人车路径规划研究

基于目标搜索的无人车路径规划研究

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为了提高智能无人车系统自主搜索目标能力,实现高效环境探测和精确路径规划,提出一种基于目标搜索的无人车路径规划方法.总体思想是利用环境感知进行无人车规划路径,在目标搜寻的过程中对环境实时侦查并对目标特征在线识别,基于此完成了对周围环境的快速建模、行驶避障和对指定目标的搜索任务.在系统软硬件实现与测试环节,利用无人车平台对提出的思路和算法开展实验验证.结果表明:所提出的基于目标搜索的无人车路径规划方法能够实现对目标的快速识别并对行驶路径进行有效规划.
Research on Path Planning of Unmanned Vehicle Based on Target Search
In order to improve the ability of autonomous target searching of intelligent unmanned vehicle system and realize efficient envi-ronment detection and accurate path planning,a path planning method of unmanned vehicle based on target searching is proposed in this paper.The overall idea is to plan the path of unmanned vehicle by using environmental perception.In the process of target search,the environment is investigated in real time and the target characteristics are recognized online.Based on this,the rapid modeling of the surrounding environment,obstacle avoidance and the search task of specified targets are completed.In the soft-ware and hardware implementation and testing of the system,the unmanned vehicle platform is used to verify the proposed ideas and algorithms.The results show that the unmanned vehicle path planning method based on target search proposed in this paper can realize the rapid identification of targets and the effective planning of driving paths.

target searchpath planningunmanned vehicleobstacle avoidance

曾庆杨、王荣浩

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陆军工程大学 国防工程学院,江苏 南京 210007

目标搜索 路径规划 无人车 避障

2025

自动化技术与应用
中国自动化学会 黑龙江省自动化学会 黑龙江省科学院自动化研究所

自动化技术与应用

影响因子:0.316
ISSN:1003-7241
年,卷(期):2025.44(1)