不确定环境下运动受限auv的轨迹规划

Sarah E. Houts, S. Rock
{"title":"不确定环境下运动受限auv的轨迹规划","authors":"Sarah E. Houts, S. Rock","doi":"10.1109/OCEANS.2014.7003140","DOIUrl":null,"url":null,"abstract":"Providing a series of images of a site over time with a survey-class AUV presents numerous challenges, particularly in the process of getting close to rugged terrain with a motion-constrained vehicle in an uncertain environment. To deal with this, a baseline approach presented in previous work by the authors plans spline-based trajectories based on an a priori map of the terrain, allowing for improved performance over purely reactive control schemes. This paper extends that approach to account for uncertainty in the environment, both in the knowledge of the terrain and the motion of the vehicle, providing additional robustness and safety, while minimizing the potential loss in performance. The trajectory optimization approach is demonstrated over simulated terrain.","PeriodicalId":368693,"journal":{"name":"2014 Oceans - St. John's","volume":"353 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Trajectory planning for motion-constrained AUVs in uncertain environments\",\"authors\":\"Sarah E. Houts, S. Rock\",\"doi\":\"10.1109/OCEANS.2014.7003140\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Providing a series of images of a site over time with a survey-class AUV presents numerous challenges, particularly in the process of getting close to rugged terrain with a motion-constrained vehicle in an uncertain environment. To deal with this, a baseline approach presented in previous work by the authors plans spline-based trajectories based on an a priori map of the terrain, allowing for improved performance over purely reactive control schemes. This paper extends that approach to account for uncertainty in the environment, both in the knowledge of the terrain and the motion of the vehicle, providing additional robustness and safety, while minimizing the potential loss in performance. The trajectory optimization approach is demonstrated over simulated terrain.\",\"PeriodicalId\":368693,\"journal\":{\"name\":\"2014 Oceans - St. John's\",\"volume\":\"353 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Oceans - St. John's\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OCEANS.2014.7003140\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Oceans - St. John's","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANS.2014.7003140","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

随着时间的推移,使用测量级AUV提供一系列现场图像带来了许多挑战,特别是在不确定环境中使用运动受限的车辆接近崎岖地形的过程中。为了解决这个问题,作者在之前的工作中提出了一种基线方法,该方法基于地形的先验地图来规划基于样条的轨迹,从而提高了纯反应性控制方案的性能。本文将该方法扩展到考虑环境中的不确定性,包括地形知识和车辆运动,提供额外的鲁棒性和安全性,同时最大限度地减少潜在的性能损失。在模拟地形上对轨迹优化方法进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Trajectory planning for motion-constrained AUVs in uncertain environments
Providing a series of images of a site over time with a survey-class AUV presents numerous challenges, particularly in the process of getting close to rugged terrain with a motion-constrained vehicle in an uncertain environment. To deal with this, a baseline approach presented in previous work by the authors plans spline-based trajectories based on an a priori map of the terrain, allowing for improved performance over purely reactive control schemes. This paper extends that approach to account for uncertainty in the environment, both in the knowledge of the terrain and the motion of the vehicle, providing additional robustness and safety, while minimizing the potential loss in performance. The trajectory optimization approach is demonstrated over simulated terrain.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A new segmentation approach for unimodal image histograms: Application to the detection of regions of interest in sonar images Electronic navigational chart generator for a marine mobile augmented reality system A hybrid registration approach combining SLAM and elastic matching for automatic side-scan sonar mosaic Unsupervised knowledge discovery of seabed types using competitive neural network: Application to sidescan sonar images European multidisciplinary seafloor and water-column observatory (EMSO): Power and Internet to European waters
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1