Street landscape environment design based on visual technology and entertainment robots: Computer simulation gamification landscape design

被引:1
作者
Zhang, Xiaojing [1 ,2 ]
机构
[1] Chizhou Univ, Coll Arts & Educ, Chizhou 247000, Anhui, Peoples R China
[2] Catholic Univ Korea, Dept Publ Performing Arts, Bucheon 14662, Gyeonggi Do, South Korea
关键词
Visual technology; Entertainment robots; Street landscape; Environmental design; Computer simulation; Gamification; Landscape design; NETWORK;
D O I
10.1016/j.entcom.2024.100879
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In recent years, with the development of social economy and the innovation of science and technology, the street landscape environment design based on visual technology and entertainment robot has been widely concerned. This paper aims to explore how to use computer simulation and gamification design methods to enhance the entertainment and attractiveness of street landscapes. In this paper, the basic principles of computer vision and V2X vehicle networking are deeply studied, and a series of simulation experiments and data analysis are carried out in combination with actual scenarios to verify the feasibility and effectiveness of V2X vehicle networking mode based on computer vision in urban street landscape design. V2X vehicle networking mode through realtime information exchange with road infrastructure, other vehicles, pedestrians, etc., can obtain a large number of urban streetscape design related data. Studies have shown that this design approach can increase people's interest and engagement in street landscapes, and increase the entertainment experience and sense of interaction of urban residents.
引用
收藏
页数:9
相关论文
共 17 条
[1]   Interworking of DSRC and Cellular Network Technologies for V2X Communications: A Survey [J].
Abboud, Khadige ;
Omar, Hassan Aboubakr ;
Zhuang, Weihua .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2016, 65 (12) :9457-9470
[2]   The k-means Algorithm: A Comprehensive Survey and Performance Evaluation [J].
Ahmed, Mohiuddin ;
Seraj, Raihan ;
Islam, Syed Mohammed Shamsul .
ELECTRONICS, 2020, 9 (08) :1-12
[3]   Ultra-Reliable Distributed Cloud Network Control With End-to-End Latency Constraints [J].
Cai, Yang ;
Llorca, Jaime ;
Tulino, Antonia M. ;
Molisch, Andreas F. .
IEEE-ACM TRANSACTIONS ON NETWORKING, 2022, 30 (06) :2505-2520
[4]   The development and validation of the perceived safety of intelligent connected vehicles scale [J].
Cao, Jianqin ;
Lin, Li ;
Zhang, Jingyu ;
Zhang, Liang ;
Wang, Ya ;
Wang, Jifang .
ACCIDENT ANALYSIS AND PREVENTION, 2021, 154
[5]   Attacks and defences on intelligent connected vehicles: a survey [J].
Dibaei, Mahdi ;
Zheng, Xi ;
Jiang, Kun ;
Abbas, Robert ;
Liu, Shigang ;
Zhang, Yuexin ;
Xiang, Yang ;
Yu, Shui .
DIGITAL COMMUNICATIONS AND NETWORKS, 2020, 6 (04) :399-421
[6]   Analytical Models of the Performance of C-V2X Mode 4 Vehicular Communications [J].
Gonzalez-Martin, Manuel ;
Sepulcre, Miguel ;
Molina-Masegosa, Rafael ;
Gozalvez, Javier .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (02) :1155-1166
[7]   Optimized YOLOv3 Algorithm and Its Application in Traffic Flow Detections [J].
Huang, Yi-Qi ;
Zheng, Jia-Chun ;
Sun, Shi-Dan ;
Yang, Cheng-Fu ;
Liu, Jing .
APPLIED SCIENCES-BASEL, 2020, 10 (09)
[8]   Characterizing Urban Vehicle-to-Vehicle Communications for Reliable Safety Applications [J].
Lyu, Feng ;
Zhu, Hongzi ;
Cheng, Nan ;
Zhou, Haibo ;
Xu, Wenchao ;
Li, Minglu ;
Shen, Xuemin .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 21 (06) :2586-2602
[9]   End-to-end latency characterization of task communication models for automotive systems [J].
Martinez, Jorge ;
Sanudo, Ignacio ;
Bertogna, Marko .
REAL-TIME SYSTEMS, 2020, 56 (03) :315-347
[10]  
Salehi F, 2012, International Journal on Technical and Physical Problems of Engineering, V4, P122