Research on Autonomous Driving based on a Highly Flexible Prototype Vehicle

Helmut Brunner, Xuelei Zhi, Matthias Mietschnig, Stephen Jones, Su Zhou, Gerald Steinbauer, M. Hirz
{"title":"Research on Autonomous Driving based on a Highly Flexible Prototype Vehicle","authors":"Helmut Brunner, Xuelei Zhi, Matthias Mietschnig, Stephen Jones, Su Zhou, Gerald Steinbauer, M. Hirz","doi":"10.1109/ICCVE45908.2019.8964945","DOIUrl":null,"url":null,"abstract":"Based on a flexible prototype vehicle and object recognition algorithms from robotic science, the present research aims at new approaches in the development of autonomous driving vehicles. An advanced prototype vehicle, driven by four independent hub motors that provide maneuverability and driving function far beyond automotive standards, serves as the basis for investigations. Enhanced know-how from robotic disciplines comprises sensor technology, navigation algorithms and the autonomous vehicle control system. With the integrated research vehicle, several autonomous driving testing scenarios are carried out to enable comprehensive evaluation and potential assessment of different technologies and development approaches in view of future R&D activities. The study shows, that: A)4WID-4WIS (four wheel independent driving and four wheel independent steering) electric vehicle is much more flexible and efficient to achieve superior performance in aspect of dynamics and drive ability than traditional vehicles. B)Object recognition and path planning algorithms in the robotics science can be implemented in the development of autonomous driving techniques and have achieved convincing results. C)This research ensures a decoupling of the basic vehicle control from the overall robotic path planning and following system. A commonly defined interface enables the adaption of the overall control system to various vehicle types.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCVE45908.2019.8964945","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Based on a flexible prototype vehicle and object recognition algorithms from robotic science, the present research aims at new approaches in the development of autonomous driving vehicles. An advanced prototype vehicle, driven by four independent hub motors that provide maneuverability and driving function far beyond automotive standards, serves as the basis for investigations. Enhanced know-how from robotic disciplines comprises sensor technology, navigation algorithms and the autonomous vehicle control system. With the integrated research vehicle, several autonomous driving testing scenarios are carried out to enable comprehensive evaluation and potential assessment of different technologies and development approaches in view of future R&D activities. The study shows, that: A)4WID-4WIS (four wheel independent driving and four wheel independent steering) electric vehicle is much more flexible and efficient to achieve superior performance in aspect of dynamics and drive ability than traditional vehicles. B)Object recognition and path planning algorithms in the robotics science can be implemented in the development of autonomous driving techniques and have achieved convincing results. C)This research ensures a decoupling of the basic vehicle control from the overall robotic path planning and following system. A commonly defined interface enables the adaption of the overall control system to various vehicle types.
基于高柔性原型车的自动驾驶研究
基于柔性原型车和机器人科学的目标识别算法,本研究旨在探索自动驾驶汽车开发的新途径。一辆先进的原型车,由四个独立的轮毂电机驱动,提供远远超出汽车标准的机动性和驾驶功能,作为调查的基础。来自机器人学科的专业知识包括传感器技术、导航算法和自动驾驶汽车控制系统。通过集成的研究车辆,进行了多个自动驾驶测试场景,以便针对未来的研发活动,对不同的技术和开发方法进行综合评估和潜在评估。研究表明:A)4WID-4WIS(四轮独立驾驶和四轮独立转向)电动汽车在动力学和驾驶能力方面比传统汽车具有更高的灵活性和效率。B)机器人科学中的物体识别和路径规划算法可以在自动驾驶技术的发展中实现,并取得了令人信服的结果。C)本研究保证了车辆基本控制与整个机器人路径规划和跟随系统的解耦。通用定义的接口使整个控制系统能够适应各种车辆类型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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