迈向基于技术集成的避碰系统

C. Palacio, Eric Gamess
{"title":"迈向基于技术集成的避碰系统","authors":"C. Palacio, Eric Gamess","doi":"10.1145/3409334.3452084","DOIUrl":null,"url":null,"abstract":"Integrating emerging technologies into current systems is critical to enhance the human quality of life. In the field of transportation, the automobile is the predominant locomotion method used by people. Even though new vehicular safety systems have been integrated into vehicles, road accidents are still one of the major reasons for death worldwide. In general, Vulnerable Road Users (VRUs) that share roads with vehicles have second priority in safety systems for the Intelligent Transportation System, since they are mostly focused on avoiding collision between vehicles. However, VRUs do represent a very significant percent of the victims of road accidents. In this paper, we propose a solution where the integration of current and future technologies to the vehicular safety system is a key factor, so that roads will be a better place for all the actors (people, animals, and vehicles) that transit on them. In order to protect VRUs and animals on or nearby the roads, a collision-avoidance system with two levels is proposed. The idea is to have a flexible solution that will integrate any current technology and new technologies as they appear. Warning information will be delivered in real-time about people, other living beings, vehicles, and obstacles when a possible collision is detected. On the lower level, on-board computers can address imminent threats thanks to the access to lightweight quality information consisting of data samples shared by vehicles, persons, and animals that join the common platform. In the upper level, additional support based on pre-processed information coming as a service from the Cloud will also assist any decision. With all this information, a vehicle will be in the capacity of taking instant safety decisions, in real-time, and without overloading its local computational resources.","PeriodicalId":148741,"journal":{"name":"Proceedings of the 2021 ACM Southeast Conference","volume":"107 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Toward a collision avoidance system based on the integration of technologies\",\"authors\":\"C. Palacio, Eric Gamess\",\"doi\":\"10.1145/3409334.3452084\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Integrating emerging technologies into current systems is critical to enhance the human quality of life. In the field of transportation, the automobile is the predominant locomotion method used by people. Even though new vehicular safety systems have been integrated into vehicles, road accidents are still one of the major reasons for death worldwide. In general, Vulnerable Road Users (VRUs) that share roads with vehicles have second priority in safety systems for the Intelligent Transportation System, since they are mostly focused on avoiding collision between vehicles. However, VRUs do represent a very significant percent of the victims of road accidents. In this paper, we propose a solution where the integration of current and future technologies to the vehicular safety system is a key factor, so that roads will be a better place for all the actors (people, animals, and vehicles) that transit on them. In order to protect VRUs and animals on or nearby the roads, a collision-avoidance system with two levels is proposed. The idea is to have a flexible solution that will integrate any current technology and new technologies as they appear. Warning information will be delivered in real-time about people, other living beings, vehicles, and obstacles when a possible collision is detected. On the lower level, on-board computers can address imminent threats thanks to the access to lightweight quality information consisting of data samples shared by vehicles, persons, and animals that join the common platform. In the upper level, additional support based on pre-processed information coming as a service from the Cloud will also assist any decision. With all this information, a vehicle will be in the capacity of taking instant safety decisions, in real-time, and without overloading its local computational resources.\",\"PeriodicalId\":148741,\"journal\":{\"name\":\"Proceedings of the 2021 ACM Southeast Conference\",\"volume\":\"107 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2021 ACM Southeast Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3409334.3452084\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 ACM Southeast Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3409334.3452084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

将新兴技术整合到现有系统中对于提高人类生活质量至关重要。在交通运输领域,汽车是人们使用的主要交通工具。尽管新的车辆安全系统已经集成到车辆中,道路事故仍然是世界范围内死亡的主要原因之一。一般来说,与车辆共享道路的弱势道路使用者(vru)在智能交通系统的安全系统中具有第二优先级,因为他们主要关注避免车辆之间的碰撞。然而,vru在道路交通事故受害者中确实占了相当大的比例。在本文中,我们提出了一种解决方案,其中将当前和未来的技术集成到车辆安全系统中是一个关键因素,这样道路将成为所有参与者(人、动物和车辆)的更好场所。为了保护道路上或道路附近的虚拟车辆和动物,提出了一种两级避碰系统。这个想法是有一个灵活的解决方案,将集成任何现有的技术和新技术,因为他们出现。当检测到可能发生碰撞时,将实时发送有关人、其他生物、车辆和障碍物的警告信息。在较低的层面上,由于可以访问由加入公共平台的车辆、人员和动物共享的数据样本组成的轻量级质量信息,车载计算机可以解决迫在眉睫的威胁。在上层,基于作为服务来自云的预处理信息的额外支持也将有助于任何决策。有了所有这些信息,车辆将有能力即时做出安全决策,而不会使其本地计算资源过载。
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
Toward a collision avoidance system based on the integration of technologies
Integrating emerging technologies into current systems is critical to enhance the human quality of life. In the field of transportation, the automobile is the predominant locomotion method used by people. Even though new vehicular safety systems have been integrated into vehicles, road accidents are still one of the major reasons for death worldwide. In general, Vulnerable Road Users (VRUs) that share roads with vehicles have second priority in safety systems for the Intelligent Transportation System, since they are mostly focused on avoiding collision between vehicles. However, VRUs do represent a very significant percent of the victims of road accidents. In this paper, we propose a solution where the integration of current and future technologies to the vehicular safety system is a key factor, so that roads will be a better place for all the actors (people, animals, and vehicles) that transit on them. In order to protect VRUs and animals on or nearby the roads, a collision-avoidance system with two levels is proposed. The idea is to have a flexible solution that will integrate any current technology and new technologies as they appear. Warning information will be delivered in real-time about people, other living beings, vehicles, and obstacles when a possible collision is detected. On the lower level, on-board computers can address imminent threats thanks to the access to lightweight quality information consisting of data samples shared by vehicles, persons, and animals that join the common platform. In the upper level, additional support based on pre-processed information coming as a service from the Cloud will also assist any decision. With all this information, a vehicle will be in the capacity of taking instant safety decisions, in real-time, and without overloading its local computational resources.
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
Application of back-translation: a transfer learning approach to identify ambiguous software requirements A survey of wireless network simulation and/or emulation software for use in higher education Implementing a network intrusion detection system using semi-supervised support vector machine and random forest Performance evaluation of a widely used implementation of the MQTT protocol with large payloads in normal operation and under a DoS attack Benefits of combining dimensional attention and working memory for partially observable reinforcement learning problems
×
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