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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 1
80-85

Pedestrian trajectory prediction based on field of view mechanism

Li Wenli1,2
Zhang Yi'nan1
Wang Mengxin1
1. Key Laboratory of Advanced Manufacturing Technology for Automobile Parts, Ministry of Education, Chongqing University of Technology, Chongqing 400054, China
2. Chongqing Chang'an Automobile Co. , Ltd. , Chongqing 400020, China
DOI: 10.19734/j.issn.1001-3695.2022.06.0289

Abstract

In order to improve the safety of pedestrian interaction in complex traffic scenes, this paper proposed a pedestrian trajectory prediction algorithm SAN-GAN based on social-GAN. The algorithm firstly took the pedestrian's historical location information and head information as input, obtained the hidden feature information of the pedestrian through the trajectory generator LSTM network, captured the dynamic changes of the pedestrian's visual field based on the pedestrian visual field module, built a fan-shaped visual field for all pedestrians and filtered the valid information, thus driving the neural network model to predict future trajectory changes of pedestrians. By comparing SAN-GAN with LSTM, social-LSTM, social-GAN and other trajectory prediction algorithms, the results show that the SAN-GAN algorithm reduces the ADE by an average of 65.8%, 51.2% and 10.7%, and the FDE by an average of 73.6%, 60.9% and 10.4%, respectively, in predicting the pedestrian trajectory for 3.2 s. The SAN-GAN is effective in predicting the future trajectory of pedestrians interacting in complex traffic environments compared to other algorithms.

Foundation Support

重庆市研究生科研创新项目(gzlcx20222128)
重庆市巴南区科技成果转化及产业化专项(2020TJZ022)
重庆市自然科学基金面上项目(cstc2021jcyj-msxmX0183)
重庆市留学人员回国创业创新支持计划资助项目(cx2021070)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.06.0289
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 1
Section: Algorithm Research & Explore
Pages: 80-85
Serial Number: 1001-3695(2023)01-013-0080-06

Publish History

[2022-08-22] Accepted Paper
[2023-01-05] Printed Article

Cite This Article

李文礼, 张祎楠, 王梦昕. 基于视野域机制的行人轨迹预测 [J]. 计算机应用研究, 2023, 40 (1): 80-85. (Li Wenli, Zhang Yi'nan, Wang Mengxin. Pedestrian trajectory prediction based on field of view mechanism [J]. Application Research of Computers, 2023, 40 (1): 80-85. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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