旋翼机避障仿真环境(ROSE)

2019 IEEE National Aerospace and Electronics Conference (NAECON) Pub Date : 2019-07-01 DOI:10.1109/NAECON46414.2019.9058267

Josh Gaston, Eric Grigorian, Zach Smithson, William L. Trautman

{"title":"旋翼机避障仿真环境(ROSE)","authors":"Josh Gaston, Eric Grigorian, Zach Smithson, William L. Trautman","doi":"10.1109/NAECON46414.2019.9058267","DOIUrl":null,"url":null,"abstract":"The Rotorcraft Obstacle Avoidance Simulation Environment (ROSE) research aims toward the implementation and testing of machine learning algorithms to provide autonavigation and obstacle avoidance capabilities to rotorcraft. The ROSE system includes autonomous navigation algorithms, sensor models, flight models, and a cockpit simulator to support analysis, training, and risk-reduction efforts.","PeriodicalId":193529,"journal":{"name":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Rotorcraft Obstacle Avoidance Simulation Environment (ROSE)\",\"authors\":\"Josh Gaston, Eric Grigorian, Zach Smithson, William L. Trautman\",\"doi\":\"10.1109/NAECON46414.2019.9058267\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Rotorcraft Obstacle Avoidance Simulation Environment (ROSE) research aims toward the implementation and testing of machine learning algorithms to provide autonavigation and obstacle avoidance capabilities to rotorcraft. The ROSE system includes autonomous navigation algorithms, sensor models, flight models, and a cockpit simulator to support analysis, training, and risk-reduction efforts.\",\"PeriodicalId\":193529,\"journal\":{\"name\":\"2019 IEEE National Aerospace and Electronics Conference (NAECON)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE National Aerospace and Electronics Conference (NAECON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAECON46414.2019.9058267\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAECON46414.2019.9058267","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

旋翼飞机避障仿真环境(ROSE)研究旨在实现和测试机器学习算法，为旋翼飞机提供自主导航和避障能力。ROSE系统包括自主导航算法、传感器模型、飞行模型和驾驶舱模拟器，以支持分析、培训和降低风险的工作。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Rotorcraft Obstacle Avoidance Simulation Environment (ROSE)

The Rotorcraft Obstacle Avoidance Simulation Environment (ROSE) research aims toward the implementation and testing of machine learning algorithms to provide autonavigation and obstacle avoidance capabilities to rotorcraft. The ROSE system includes autonomous navigation algorithms, sensor models, flight models, and a cockpit simulator to support analysis, training, and risk-reduction efforts.

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

2019 IEEE National Aerospace and Electronics Conference (NAECON)

自引率

0.00%

发文量