农业机械后视数据的收集和分析方法:危险和/或目标可探测性。

IF 0.9 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Shawn G Ehlers, William E Field, Daniel R Ess
{"title":"农业机械后视数据的收集和分析方法:危险和/或目标可探测性。","authors":"Shawn G Ehlers,&nbsp;William E Field,&nbsp;Daniel R Ess","doi":"10.13031/jash.11738","DOIUrl":null,"url":null,"abstract":"<p><p>Recent interest in rearward visibility for private, construction, and commercial vehicles and documentation of rearward runovers involving bystanders outside the field of vision of the vehicle operator led to an investigation into the need for enhanced methods of rearward visibility for large, off-highway, agricultural equipment. A review of the literature found limited relevant research and minimal data on incidents involving rearward runovers of bystanders and co-workers. This article reviews the findings regarding the methods identified and tested to collect and analyze rearward visibility data, from the operator's perspective, for large self-propelled agricultural equipment, including the four-wheel drive tractors, combines, agricultural sprayers, and skid-steer loaders that are increasingly found on agricultural production sites. The methods identified, largely drawn from research conducted on private and commercial vehicles, were tested to determine their application in identifying rearward blind spots. These methods are described, and the findings from field-testing of specific machines are provided. Recommendations include establishing an appropriate engineering standard regarding rearward visibility of agricultural equipment with limited rearward vision and the use of rearward alarm systems for warning bystanders of rearward movement.</p>","PeriodicalId":45344,"journal":{"name":"Journal of Agricultural Safety and Health","volume":"23 1","pages":"39-53"},"PeriodicalIF":0.9000,"publicationDate":"2017-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.13031/jash.11738","citationCount":"4","resultStr":"{\"title\":\"Methods of Collecting and Analyzing Rearward Visibility Data for Agricultural Machinery: Hazard and/or Object Detectability.\",\"authors\":\"Shawn G Ehlers,&nbsp;William E Field,&nbsp;Daniel R Ess\",\"doi\":\"10.13031/jash.11738\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Recent interest in rearward visibility for private, construction, and commercial vehicles and documentation of rearward runovers involving bystanders outside the field of vision of the vehicle operator led to an investigation into the need for enhanced methods of rearward visibility for large, off-highway, agricultural equipment. A review of the literature found limited relevant research and minimal data on incidents involving rearward runovers of bystanders and co-workers. This article reviews the findings regarding the methods identified and tested to collect and analyze rearward visibility data, from the operator's perspective, for large self-propelled agricultural equipment, including the four-wheel drive tractors, combines, agricultural sprayers, and skid-steer loaders that are increasingly found on agricultural production sites. The methods identified, largely drawn from research conducted on private and commercial vehicles, were tested to determine their application in identifying rearward blind spots. These methods are described, and the findings from field-testing of specific machines are provided. Recommendations include establishing an appropriate engineering standard regarding rearward visibility of agricultural equipment with limited rearward vision and the use of rearward alarm systems for warning bystanders of rearward movement.</p>\",\"PeriodicalId\":45344,\"journal\":{\"name\":\"Journal of Agricultural Safety and Health\",\"volume\":\"23 1\",\"pages\":\"39-53\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2017-01-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.13031/jash.11738\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Agricultural Safety and Health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.13031/jash.11738\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Agricultural Safety and Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13031/jash.11738","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 4

摘要

最近,人们对私人、建筑和商用车辆的后视能见度感兴趣,并对车辆操作员视野之外的旁观者的后视行驶进行了记录,这导致了对大型、非公路、农业设备的后视能见度增强方法的需求进行了调查。对文献的回顾发现,涉及旁观者和同事向后逃跑的事件的相关研究有限,数据也很少。本文从操作人员的角度回顾了大型自走式农业设备(包括四轮驱动拖拉机、联合收割机、农用喷雾器和滑向装载机)收集和分析后视数据的方法,这些设备越来越多地出现在农业生产现场。所确定的方法主要来自对私人和商用车辆进行的研究,并进行了测试,以确定它们在识别后方盲点方面的应用。介绍了这些方法,并提供了具体机器现场测试的结果。建议包括制定一项适当的工程标准,规定向后视野有限的农业设备的向后能见度,并使用向后警报系统警告旁观者向后移动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methods of Collecting and Analyzing Rearward Visibility Data for Agricultural Machinery: Hazard and/or Object Detectability.

Recent interest in rearward visibility for private, construction, and commercial vehicles and documentation of rearward runovers involving bystanders outside the field of vision of the vehicle operator led to an investigation into the need for enhanced methods of rearward visibility for large, off-highway, agricultural equipment. A review of the literature found limited relevant research and minimal data on incidents involving rearward runovers of bystanders and co-workers. This article reviews the findings regarding the methods identified and tested to collect and analyze rearward visibility data, from the operator's perspective, for large self-propelled agricultural equipment, including the four-wheel drive tractors, combines, agricultural sprayers, and skid-steer loaders that are increasingly found on agricultural production sites. The methods identified, largely drawn from research conducted on private and commercial vehicles, were tested to determine their application in identifying rearward blind spots. These methods are described, and the findings from field-testing of specific machines are provided. Recommendations include establishing an appropriate engineering standard regarding rearward visibility of agricultural equipment with limited rearward vision and the use of rearward alarm systems for warning bystanders of rearward movement.

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
Journal of Agricultural Safety and Health
Journal of Agricultural Safety and Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
1.50
自引率
20.00%
发文量
10
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信