Vehicle Control System Based on Dynamic Traffic Gesture Recognition

被引:0
|
作者
Miao, Yinghe [1 ]
Sun, Chenxiao [1 ]
Shi, Enrui [1 ]
Shen, Xinyan [1 ]
Lei, Muyao [1 ]
Liu, Yaqiong [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing, Peoples R China
关键词
gesture recognition; smart car; communication; YOLO;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In view of the lack of information processing speed and road condition recognition ability suitable for complex road conditions in the current autonomous driving technology and to solve the problem of rapid and accurate dynamic recognition of "traffic police gestures" in the current unmanned driving technology, a real-time interactive vehicle control system combining hardware and software is designed in this paper. The car takes Arduino UNO micro-controller as the core, realizes one-way data transmission from the camera to the computer through RTSP. After being processed by gesture recognition model based on YOLOv5 network structure, the corresponding instructions are sent back to the car to control the car's movement. Through the design and debugging, the information interaction between the camera, the computer and the car is completed. The car can move according to the designated traffic police gesture, which improves the degree of car automation and has certain significance to promote the further development of the auto automation industry.
引用
收藏
页码:196 / 201
页数:6
相关论文
共 50 条
  • [1] Research on Dynamic Gesture Recognition and Control System based on Machine Vision
    Xu, Yong
    Qin, Manping
    Zhou, Cuiru
    Peng, Jiansheng
    Batumalay, Malathy
    Chan, Choon Kit
    [J]. JOURNAL OF ELECTRICAL SYSTEMS, 2024, 20 (02) : 616 - 628
  • [2] Gesture recognition of traffic police based on static and dynamic descriptor fusion
    Fan Guo
    Jin Tang
    Xile Wang
    [J]. Multimedia Tools and Applications, 2017, 76 : 8915 - 8936
  • [3] Gesture recognition of traffic police based on static and dynamic descriptor fusion
    Guo, Fan
    Tang, Jin
    Wang, Xile
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 76 (06) : 8915 - 8936
  • [4] Hand-free Gesture Recognition for Vehicle Infotainment System Control
    Ye, Qi
    Yang, Lanqing
    Xue, Guangtao
    [J]. 2018 IEEE VEHICULAR NETWORKING CONFERENCE (VNC), 2018,
  • [5] A Skeleton-based Dynamic Hand Gesture Recognition for Home Appliance Control System
    Tsai, Tsung-Han
    Luo, Yi-Jhen
    Wan, Wei-Chung
    [J]. 2022 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS 22), 2022, : 3265 - 3268
  • [6] Traffic Control Gesture Recognition for Autonomous Vehicles
    Wiederer, Julian
    Bouazizi, Arij
    Kressel, Ulrich
    Belagiannis, Vasileios
    [J]. 2020 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2020, : 10676 - 10683
  • [7] Dynamic Reservation-Based Traffic Control System to Integrate VTOL Vehicle Operations in Connected Vehicle Surface Traffic
    Slavica Gavric
    Aleksandar Stevanovic
    [J]. Data Science for Transportation, 2024, 6 (2):
  • [8] Accelerometer-based Chinese Traffic Police Gesture Recognition System
    Yuan Tao
    Wang Ben
    [J]. CHINESE JOURNAL OF ELECTRONICS, 2010, 19 (02) : 270 - 274
  • [9] A Wearable System Designed for Chinese Traffic Police Based on Gesture Recognition
    You, Zhenwei
    Liu, Jian
    Hou, Wenjun
    Wang, Xiaochun
    Liu, Wei
    Song, Wu
    [J]. TRANSDISCIPLINARY ENGINEERING: A PARADIGM SHIFT, 2017, 5 : 385 - 393
  • [10] Design of control system based on hand gesture recognition
    Song, Shining
    Yan, Dongsong
    Xie, Yongjun
    [J]. 2018 IEEE 15TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC), 2018,