Conventionalized gestures for the interaction of people in traffic with autonomous vehicles

被引:17
|
作者
Gupta, Surabhi [1 ]
Vasardani, Maria [1 ]
Winter, Stephan [1 ]
机构
[1] Univ Melbourne, Dept Infrastruct Engn, Melbourne, Vic 3010, Australia
来源
PROCEEDINGS OF THE 9TH ACM SIGSPATIAL INTERNATIONAL WORKSHOP ON COMPUTATIONAL TRANSPORTATION SCIENCE (IWCTS 2016) | 2016年
关键词
autonomous vehicle; human-computer interaction; gestures;
D O I
10.1145/3003965.3003967
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The first autonomous vehicles are already tested in the public traffic. The rapid development in bringing this technology on roads attracts growing attention of research in the human interaction with autonomous vehicles. This paper focuses on the interaction of other road users with autonomous vehicles. These road users may be pedestrians who negotiate their right of way, other human drivers sharing the same road, or human traffic control officers. In order to learn about these road users in general, this paper aims to identify first the formalized hand signals applied by officers. The paper answers the question whether there is a general and universal language to interact with traffic. If so, then future work can identify elements of this universal language in the gestures of other road users, and facilitate an understanding between them and autonomous vehicles.
引用
收藏
页码:55 / 60
页数:6
相关论文
共 50 条
  • [1] Traffic light detection and recognition for autonomous vehicles
    Guo Mu
    Zhang Xinyu
    Li Deyi
    Zhang Tianlei
    An Lifeng
    The Journal of China Universities of Posts and Telecommunications, 2015, (01) : 50 - 56
  • [2] Traffic light detection and recognition for autonomous vehicles
    Mu, Guo
    Xinyu, Zhang
    Deyi, Li
    Tianlei, Zhang
    Lifeng, An
    Mu, Guo (guom08@gmail.com), 1600, Beijing University of Posts and Telecommunications (22): : 50 - 56
  • [3] Autonomous Planning and Control for Intelligent Vehicles in Traffic
    You, Changxi
    Lu, Jianbo
    Filev, Dimitar
    Tsiotras, Panagiotis
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 21 (06) : 2339 - 2349
  • [4] Comprehensive Review of Traffic Modeling: Towards Autonomous Vehicles
    Lach, Lukasz
    Svyetlichnyy, Dmytro
    APPLIED SCIENCES-BASEL, 2024, 14 (18):
  • [5] A New Solution to the Traffic Managing System for Autonomous Vehicles
    Novaes Junior, Rodrigo Rodrigues
    Santos, Daniel de Sousa
    Franco Santiago, Gabriel Martins
    Dias, Sandro Renato
    AAMAS'17: PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS, 2017, : 1805 - 1807
  • [6] First Step into Visceral Interaction with Autonomous Vehicles
    Zimmermann, Raphael
    Wettach, Reto
    AUTOMOTIVEUI 2017: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS, 2017, : 58 - 64
  • [7] Influencing Mechanism of Human-Computer Interaction Trust in Autonomous Vehicles
    Sun X.-F.
    Zhao Y.
    Lyu C.-M.
    Dongbei Daxue Xuebao/Journal of Northeastern University, 2022, 43 (09): : 1305 - 1313
  • [8] DASH: A Universal Intersection Traffic Management System for Autonomous Vehicles
    Kang, Jian
    Lin, Dan
    2020 IEEE 40TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS), 2020, : 89 - 99
  • [9] Assessing Cybersecurity Risks and Traffic Impact in Connected Autonomous Vehicles
    Silwal, Saurav
    Gao, Lu
    Zhang, Yunpeng
    Senouci, Ahmed
    Mo, Yi-Lung
    INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2024: TRANSPORTATION SAFETY AND EMERGING TECHNOLOGIES, ICTD 2024, 2024, : 652 - 662
  • [10] TRAFFIC SIGN RECOGNITION IN AUTONOMOUS VEHICLES USING EDGE DETECTION
    Vishwanathan, Harish
    Peters, Diane L.
    Zhang, James Z.
    PROCEEDINGS OF THE ASME 10TH ANNUAL DYNAMIC SYSTEMS AND CONTROL CONFERENCE, 2017, VOL 1, 2017,