Da-hui Lin-Yang, Francisco Pastor, Alfonso J. García-Cerezo
{"title":"多路点轨迹规划的低计算成本:一种基于时间最优的方法","authors":"Da-hui Lin-Yang, Francisco Pastor, Alfonso J. García-Cerezo","doi":"10.1002/aisy.202570002","DOIUrl":null,"url":null,"abstract":"<p><b>Multiple Waypoints Trajectory Planning</b>\n </p><p>In article number 2400363, Da-hui Lin-Yang, Francisco Pastor, and Alfonso J. García-Cerezo present a time-optimal trajectory planner for drones, computing minimal-time multi-waypoint trajectories. The cover highlights drones navigating pre-planned paths with precision, visualized through colorful arcs. The experiments were conducted in a motion capture system, ensuring accurate trajectory tracking and validation in controlled environments. This work advances rapid and efficient motion planning.\n\n <figure>\n <div><picture>\n <source></source></picture><p></p>\n </div>\n </figure></p>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 1","pages":""},"PeriodicalIF":6.1000,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202570002","citationCount":"0","resultStr":"{\"title\":\"Low Computational Cost for Multiple Waypoints Trajectory Planning: A Time-Optimal-Based Approach\",\"authors\":\"Da-hui Lin-Yang, Francisco Pastor, Alfonso J. García-Cerezo\",\"doi\":\"10.1002/aisy.202570002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><b>Multiple Waypoints Trajectory Planning</b>\\n </p><p>In article number 2400363, Da-hui Lin-Yang, Francisco Pastor, and Alfonso J. García-Cerezo present a time-optimal trajectory planner for drones, computing minimal-time multi-waypoint trajectories. The cover highlights drones navigating pre-planned paths with precision, visualized through colorful arcs. The experiments were conducted in a motion capture system, ensuring accurate trajectory tracking and validation in controlled environments. This work advances rapid and efficient motion planning.\\n\\n <figure>\\n <div><picture>\\n <source></source></picture><p></p>\\n </div>\\n </figure></p>\",\"PeriodicalId\":93858,\"journal\":{\"name\":\"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)\",\"volume\":\"7 1\",\"pages\":\"\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2025-01-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202570002\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/aisy.202570002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/aisy.202570002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
摘要
在第2400363篇文章中,杨大辉、Francisco Pastor和Alfonso J. García-Cerezo提出了一种无人机时间最优轨迹规划方法,用于计算最小时间多航点轨迹。封面突出了无人机精确导航预先规划的路径,通过彩色弧线可视化。实验在运动捕捉系统中进行,确保在受控环境中进行精确的轨迹跟踪和验证。这项工作促进了快速和有效的运动规划。
Low Computational Cost for Multiple Waypoints Trajectory Planning: A Time-Optimal-Based Approach
Multiple Waypoints Trajectory Planning
In article number 2400363, Da-hui Lin-Yang, Francisco Pastor, and Alfonso J. García-Cerezo present a time-optimal trajectory planner for drones, computing minimal-time multi-waypoint trajectories. The cover highlights drones navigating pre-planned paths with precision, visualized through colorful arcs. The experiments were conducted in a motion capture system, ensuring accurate trajectory tracking and validation in controlled environments. This work advances rapid and efficient motion planning.