Repository logo
  • English
  • 中文
Log In
Have you forgotten your password?
  1. Home
  2. College of Electrical Engineering and Computer Science / 電機資訊學院
  3. Computer Science and Information Engineering / 資訊工程學系
  4. Human-Robot Cooperation for Autonomous Vehicles and Human Drivers: Challenges and Solutions
 
  • Details

Human-Robot Cooperation for Autonomous Vehicles and Human Drivers: Challenges and Solutions

Journal
IEEE Communications Magazine
Journal Volume
59
Journal Issue
8
Pages
35-41
Date Issued
2021
Author(s)
Aoki S
CHUNG-WEI LIN  
Rajkumar R.
DOI
10.1109/MCOM.001.2001241
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114774867&doi=10.1109%2fMCOM.001.2001241&partnerID=40&md5=38ec0195164434f7d8e98446d3159ecc
https://scholars.lib.ntu.edu.tw/handle/123456789/632559
Abstract
Connected and automated vehicles (CAVs) are becoming increasingly feasible, and these vehicles are expected to enhance road safety, traffic throughput, energy efficiency, and human comfort, especially at road intersections and for lane changing, merging, and unprotected turning maneuvers. However, there is likely to be a long transition period before human-driven vehicles are completely replaced by such automated vehicles. To leverage the autonomous driving technologies on public roads, we have to design and develop safe interaction and cooperation for mixed traffic environments, where human-driven and autonomous vehicles cooperate with one another in order to avoid vehicle collisions and possible deadlocks. In this article, we study the requirements and challenges for such safe cooperation of autonomous vehicles and human drivers, and review three prospective components: road infrastructure, vehicular communications, and online recognition and prediction. First, road infrastructure contributes to improving CAV capabilities for safe cooperation as a centralized coordinator. In addition, vehicle-to-vehicle communications might be key to safe cooperation in a decentralized manner that can guarantee road safety for multiple connected vehicles. Online motion prediction and real-time gesture recognition are also essential to develop a safe cooperation system in a decentralized manner with non-connected vehicles. These three approaches are not exclusive, and CAVs may complementarily use them in practice. Finally, we discuss the feasibility and limitations of each approach and conclude with future research directions. © 1979-2012 IEEE.
SDGs

[SDGs]SDG3

[SDGs]SDG7

[SDGs]SDG9

[SDGs]SDG11

Other Subjects
Accident prevention; Energy efficiency; Motion estimation; Motor transportation; Road vehicles; Roads and streets; Social robots; Traffic control; Vehicle to vehicle communications; Future research directions; Human-robot cooperation; On-line recognition; Real time gesture recognition; Road infrastructures; Road intersections; Vehicle collisions; Vehicular communications; Autonomous vehicles
Type
journal article

臺大位居世界頂尖大學之列,為永久珍藏及向國際展現本校豐碩的研究成果及學術能量,圖書館整合機構典藏(NTUR)與學術庫(AH)不同功能平台,成為臺大學術典藏NTU scholars。期能整合研究能量、促進交流合作、保存學術產出、推廣研究成果。

To permanently archive and promote researcher profiles and scholarly works, Library integrates the services of “NTU Repository” with “Academic Hub” to form NTU Scholars.

總館學科館員 (Main Library)
醫學圖書館學科館員 (Medical Library)
社會科學院辜振甫紀念圖書館學科館員 (Social Sciences Library)

開放取用是從使用者角度提升資訊取用性的社會運動,應用在學術研究上是透過將研究著作公開供使用者自由取閱,以促進學術傳播及因應期刊訂購費用逐年攀升。同時可加速研究發展、提升研究影響力,NTU Scholars即為本校的開放取用典藏(OA Archive)平台。(點選深入了解OA)

  • 請確認所上傳的全文是原創的內容,若該文件包含部分內容的版權非匯入者所有,或由第三方贊助與合作完成,請確認該版權所有者及第三方同意提供此授權。
    Please represent that the submission is your original work, and that you have the right to grant the rights to upload.
  • 若欲上傳已出版的全文電子檔,可使用Open policy finder網站查詢,以確認出版單位之版權政策。
    Please use Open policy finder to find a summary of permissions that are normally given as part of each publisher's copyright transfer agreement.
  • 網站簡介 (Quickstart Guide)
  • 使用手冊 (Instruction Manual)
  • 線上預約服務 (Booking Service)
  • 方案一:臺灣大學計算機中心帳號登入
    (With C&INC Email Account)
  • 方案二:ORCID帳號登入 (With ORCID)
  • 方案一:定期更新ORCID者,以ID匯入 (Search for identifier (ORCID))
  • 方案二:自行建檔 (Default mode Submission)
  • 方案三:學科館員協助匯入 (Email worklist to subject librarians)

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science